repository_name
stringlengths
7
55
func_path_in_repository
stringlengths
4
223
func_name
stringlengths
1
134
whole_func_string
stringlengths
75
104k
language
stringclasses
1 value
func_code_string
stringlengths
75
104k
func_code_tokens
listlengths
19
28.4k
func_documentation_string
stringlengths
1
46.9k
func_documentation_tokens
listlengths
1
1.97k
split_name
stringclasses
1 value
func_code_url
stringlengths
87
315
koordinates/python-client
koordinates/sets.py
SetManager.set_metadata
def set_metadata(self, set_id, fp): """ Set the XML metadata on a set. :param file fp: file-like object to read the XML metadata from. """ base_url = self.client.get_url('SET', 'GET', 'single', {'id': set_id}) self._metadata.set(base_url, fp)
python
def set_metadata(self, set_id, fp): """ Set the XML metadata on a set. :param file fp: file-like object to read the XML metadata from. """ base_url = self.client.get_url('SET', 'GET', 'single', {'id': set_id}) self._metadata.set(base_url, fp)
[ "def", "set_metadata", "(", "self", ",", "set_id", ",", "fp", ")", ":", "base_url", "=", "self", ".", "client", ".", "get_url", "(", "'SET'", ",", "'GET'", ",", "'single'", ",", "{", "'id'", ":", "set_id", "}", ")", "self", ".", "_metadata", ".", "...
Set the XML metadata on a set. :param file fp: file-like object to read the XML metadata from.
[ "Set", "the", "XML", "metadata", "on", "a", "set", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/sets.py#L45-L52
koordinates/python-client
koordinates/sets.py
Set.set_metadata
def set_metadata(self, fp): """ Set the XML metadata on a set. :param file fp: file-like object to read the XML metadata from. """ base_url = self._client.get_url('SET', 'GET', 'single', {'id': self.id}) self._manager._metadata.set(base_url, fp) # reload myself ...
python
def set_metadata(self, fp): """ Set the XML metadata on a set. :param file fp: file-like object to read the XML metadata from. """ base_url = self._client.get_url('SET', 'GET', 'single', {'id': self.id}) self._manager._metadata.set(base_url, fp) # reload myself ...
[ "def", "set_metadata", "(", "self", ",", "fp", ")", ":", "base_url", "=", "self", ".", "_client", ".", "get_url", "(", "'SET'", ",", "'GET'", ",", "'single'", ",", "{", "'id'", ":", "self", ".", "id", "}", ")", "self", ".", "_manager", ".", "_metad...
Set the XML metadata on a set. :param file fp: file-like object to read the XML metadata from.
[ "Set", "the", "XML", "metadata", "on", "a", "set", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/sets.py#L80-L91
koordinates/python-client
koordinates/metadata.py
MetadataManager.set
def set(self, parent_url, fp): """ If the parent object already has XML metadata, it will be overwritten. Accepts XML metadata in any of the three supported formats. The format will be detected from the XML content. The Metadata object becomes invalid after setting :pa...
python
def set(self, parent_url, fp): """ If the parent object already has XML metadata, it will be overwritten. Accepts XML metadata in any of the three supported formats. The format will be detected from the XML content. The Metadata object becomes invalid after setting :pa...
[ "def", "set", "(", "self", ",", "parent_url", ",", "fp", ")", ":", "url", "=", "parent_url", "+", "self", ".", "client", ".", "get_url_path", "(", "'METADATA'", ",", "'POST'", ",", "'set'", ",", "{", "}", ")", "r", "=", "self", ".", "client", ".", ...
If the parent object already has XML metadata, it will be overwritten. Accepts XML metadata in any of the three supported formats. The format will be detected from the XML content. The Metadata object becomes invalid after setting :param file fp: A reference to an open file-like objec...
[ "If", "the", "parent", "object", "already", "has", "XML", "metadata", "it", "will", "be", "overwritten", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/metadata.py#L21-L35
koordinates/python-client
koordinates/metadata.py
Metadata.get_xml
def get_xml(self, fp, format=FORMAT_NATIVE): """ Returns the XML metadata for this source, converted to the requested format. Converted metadata may not contain all the same information as the native format. :param file fp: A path, or an open file-like object which the content should be...
python
def get_xml(self, fp, format=FORMAT_NATIVE): """ Returns the XML metadata for this source, converted to the requested format. Converted metadata may not contain all the same information as the native format. :param file fp: A path, or an open file-like object which the content should be...
[ "def", "get_xml", "(", "self", ",", "fp", ",", "format", "=", "FORMAT_NATIVE", ")", ":", "r", "=", "self", ".", "_client", ".", "request", "(", "'GET'", ",", "getattr", "(", "self", ",", "format", ")", ",", "stream", "=", "True", ")", "filename", "...
Returns the XML metadata for this source, converted to the requested format. Converted metadata may not contain all the same information as the native format. :param file fp: A path, or an open file-like object which the content should be written to. :param str format: desired format for the ou...
[ "Returns", "the", "XML", "metadata", "for", "this", "source", "converted", "to", "the", "requested", "format", ".", "Converted", "metadata", "may", "not", "contain", "all", "the", "same", "information", "as", "the", "native", "format", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/metadata.py#L47-L61
koordinates/python-client
koordinates/metadata.py
Metadata.get_formats
def get_formats(self): """ Return the available format names for this metadata """ formats = [] for key in (self.FORMAT_DC, self.FORMAT_FGDC, self.FORMAT_ISO): if hasattr(self, key): formats.append(key) return formats
python
def get_formats(self): """ Return the available format names for this metadata """ formats = [] for key in (self.FORMAT_DC, self.FORMAT_FGDC, self.FORMAT_ISO): if hasattr(self, key): formats.append(key) return formats
[ "def", "get_formats", "(", "self", ")", ":", "formats", "=", "[", "]", "for", "key", "in", "(", "self", ".", "FORMAT_DC", ",", "self", ".", "FORMAT_FGDC", ",", "self", ".", "FORMAT_ISO", ")", ":", "if", "hasattr", "(", "self", ",", "key", ")", ":",...
Return the available format names for this metadata
[ "Return", "the", "available", "format", "names", "for", "this", "metadata" ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/metadata.py#L63-L69
koordinates/python-client
koordinates/utils.py
is_bound
def is_bound(method): """ Decorator that asserts the model instance is bound. Requires: 1. an ``id`` attribute 2. a ``url`` attribute 2. a manager set """ @functools.wraps(method) def wrapper(self, *args, **kwargs): if not self._is_bound: raise ValueError("%r mus...
python
def is_bound(method): """ Decorator that asserts the model instance is bound. Requires: 1. an ``id`` attribute 2. a ``url`` attribute 2. a manager set """ @functools.wraps(method) def wrapper(self, *args, **kwargs): if not self._is_bound: raise ValueError("%r mus...
[ "def", "is_bound", "(", "method", ")", ":", "@", "functools", ".", "wraps", "(", "method", ")", "def", "wrapper", "(", "self", ",", "*", "args", ",", "*", "*", "kwargs", ")", ":", "if", "not", "self", ".", "_is_bound", ":", "raise", "ValueError", "...
Decorator that asserts the model instance is bound. Requires: 1. an ``id`` attribute 2. a ``url`` attribute 2. a manager set
[ "Decorator", "that", "asserts", "the", "model", "instance", "is", "bound", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/utils.py#L16-L30
michaelaye/pyciss
pyciss/opusapi.py
OPUS.query_image_id
def query_image_id(self, image_id): """Query OPUS via the image_id. This is a query using the 'primaryfilespec' field of the OPUS database. It returns a list of URLS into the `obsids` attribute. This example queries for an image of Titan: >>> opus = opusapi.OPUS() >>> ...
python
def query_image_id(self, image_id): """Query OPUS via the image_id. This is a query using the 'primaryfilespec' field of the OPUS database. It returns a list of URLS into the `obsids` attribute. This example queries for an image of Titan: >>> opus = opusapi.OPUS() >>> ...
[ "def", "query_image_id", "(", "self", ",", "image_id", ")", ":", "myquery", "=", "{", "\"primaryfilespec\"", ":", "image_id", "}", "self", ".", "create_files_request", "(", "myquery", ",", "fmt", "=", "\"json\"", ")", "self", ".", "unpack_json_response", "(", ...
Query OPUS via the image_id. This is a query using the 'primaryfilespec' field of the OPUS database. It returns a list of URLS into the `obsids` attribute. This example queries for an image of Titan: >>> opus = opusapi.OPUS() >>> opus.query_image_id('N1695760475_1') A...
[ "Query", "OPUS", "via", "the", "image_id", "." ]
train
https://github.com/michaelaye/pyciss/blob/019256424466060babead7edab86736c881b0831/pyciss/opusapi.py#L161-L179
michaelaye/pyciss
pyciss/opusapi.py
OPUS.create_request_with_query
def create_request_with_query(self, kind, query, size="thumb", fmt="json"): """api/data.[fmt], api/images/[size].[fmt] api/files.[fmt] kind = ['data', 'images', 'files'] """ if kind == "data" or kind == "files": url = "{}/{}.{}".format(base_url, kind, fmt) elif kin...
python
def create_request_with_query(self, kind, query, size="thumb", fmt="json"): """api/data.[fmt], api/images/[size].[fmt] api/files.[fmt] kind = ['data', 'images', 'files'] """ if kind == "data" or kind == "files": url = "{}/{}.{}".format(base_url, kind, fmt) elif kin...
[ "def", "create_request_with_query", "(", "self", ",", "kind", ",", "query", ",", "size", "=", "\"thumb\"", ",", "fmt", "=", "\"json\"", ")", ":", "if", "kind", "==", "\"data\"", "or", "kind", "==", "\"files\"", ":", "url", "=", "\"{}/{}.{}\"", ".", "form...
api/data.[fmt], api/images/[size].[fmt] api/files.[fmt] kind = ['data', 'images', 'files']
[ "api", "/", "data", ".", "[", "fmt", "]", "api", "/", "images", "/", "[", "size", "]", ".", "[", "fmt", "]", "api", "/", "files", ".", "[", "fmt", "]" ]
train
https://github.com/michaelaye/pyciss/blob/019256424466060babead7edab86736c881b0831/pyciss/opusapi.py#L184-L196
michaelaye/pyciss
pyciss/opusapi.py
OPUS.get_between_times
def get_between_times(self, t1, t2, target=None): """ Query for OPUS data between times t1 and t2. Parameters ---------- t1, t2 : datetime.datetime, strings Start and end time for the query. If type is datetime, will be converted to isoformat string. If t...
python
def get_between_times(self, t1, t2, target=None): """ Query for OPUS data between times t1 and t2. Parameters ---------- t1, t2 : datetime.datetime, strings Start and end time for the query. If type is datetime, will be converted to isoformat string. If t...
[ "def", "get_between_times", "(", "self", ",", "t1", ",", "t2", ",", "target", "=", "None", ")", ":", "try", ":", "# checking if times have isoformat() method (datetimes have)", "t1", "=", "t1", ".", "isoformat", "(", ")", "t2", "=", "t2", ".", "isoformat", "...
Query for OPUS data between times t1 and t2. Parameters ---------- t1, t2 : datetime.datetime, strings Start and end time for the query. If type is datetime, will be converted to isoformat string. If type is string already, it needs to be in an accepted inter...
[ "Query", "for", "OPUS", "data", "between", "times", "t1", "and", "t2", "." ]
train
https://github.com/michaelaye/pyciss/blob/019256424466060babead7edab86736c881b0831/pyciss/opusapi.py#L251-L281
michaelaye/pyciss
pyciss/opusapi.py
OPUS.show_images
def show_images(self, size="small"): """Shows preview images using the Jupyter notebook HTML display. Parameters ========== size : {'small', 'med', 'thumb', 'full'} Determines the size of the preview image to be shown. """ d = dict(small=256, med=512, thumb=1...
python
def show_images(self, size="small"): """Shows preview images using the Jupyter notebook HTML display. Parameters ========== size : {'small', 'med', 'thumb', 'full'} Determines the size of the preview image to be shown. """ d = dict(small=256, med=512, thumb=1...
[ "def", "show_images", "(", "self", ",", "size", "=", "\"small\"", ")", ":", "d", "=", "dict", "(", "small", "=", "256", ",", "med", "=", "512", ",", "thumb", "=", "100", ",", "full", "=", "1024", ")", "try", ":", "width", "=", "d", "[", "size",...
Shows preview images using the Jupyter notebook HTML display. Parameters ========== size : {'small', 'med', 'thumb', 'full'} Determines the size of the preview image to be shown.
[ "Shows", "preview", "images", "using", "the", "Jupyter", "notebook", "HTML", "display", "." ]
train
https://github.com/michaelaye/pyciss/blob/019256424466060babead7edab86736c881b0831/pyciss/opusapi.py#L288-L311
michaelaye/pyciss
pyciss/opusapi.py
OPUS.download_results
def download_results(self, savedir=None, raw=True, calib=False, index=None): """Download the previously found and stored Opus obsids. Parameters ========== savedir: str or pathlib.Path, optional If the database root folder as defined by the config.ini should not be used, ...
python
def download_results(self, savedir=None, raw=True, calib=False, index=None): """Download the previously found and stored Opus obsids. Parameters ========== savedir: str or pathlib.Path, optional If the database root folder as defined by the config.ini should not be used, ...
[ "def", "download_results", "(", "self", ",", "savedir", "=", "None", ",", "raw", "=", "True", ",", "calib", "=", "False", ",", "index", "=", "None", ")", ":", "obsids", "=", "self", ".", "obsids", "if", "index", "is", "None", "else", "[", "self", "...
Download the previously found and stored Opus obsids. Parameters ========== savedir: str or pathlib.Path, optional If the database root folder as defined by the config.ini should not be used, provide a different savedir here. It will be handed to PathManager.
[ "Download", "the", "previously", "found", "and", "stored", "Opus", "obsids", "." ]
train
https://github.com/michaelaye/pyciss/blob/019256424466060babead7edab86736c881b0831/pyciss/opusapi.py#L313-L339
michaelaye/pyciss
pyciss/opusapi.py
OPUS.download_previews
def download_previews(self, savedir=None): """Download preview files for the previously found and stored Opus obsids. Parameters ========== savedir: str or pathlib.Path, optional If the database root folder as defined by the config.ini should not be used, provide...
python
def download_previews(self, savedir=None): """Download preview files for the previously found and stored Opus obsids. Parameters ========== savedir: str or pathlib.Path, optional If the database root folder as defined by the config.ini should not be used, provide...
[ "def", "download_previews", "(", "self", ",", "savedir", "=", "None", ")", ":", "for", "obsid", "in", "self", ".", "obsids", ":", "pm", "=", "io", ".", "PathManager", "(", "obsid", ".", "img_id", ",", "savedir", "=", "savedir", ")", "pm", ".", "basep...
Download preview files for the previously found and stored Opus obsids. Parameters ========== savedir: str or pathlib.Path, optional If the database root folder as defined by the config.ini should not be used, provide a different savedir here. It will be handed to PathMa...
[ "Download", "preview", "files", "for", "the", "previously", "found", "and", "stored", "Opus", "obsids", "." ]
train
https://github.com/michaelaye/pyciss/blob/019256424466060babead7edab86736c881b0831/pyciss/opusapi.py#L341-L355
michaelaye/pyciss
pyciss/_utils.py
which_epi_janus_resonance
def which_epi_janus_resonance(name, time): """Find which swap situtation we are in by time. Starting from 2006-01-21 where a Janus-Epimetheus swap occured, and defining the next 4 years until the next swap as `scenario1, and the 4 years after that `scenario2`. Calculate in units of 4 years, in whic...
python
def which_epi_janus_resonance(name, time): """Find which swap situtation we are in by time. Starting from 2006-01-21 where a Janus-Epimetheus swap occured, and defining the next 4 years until the next swap as `scenario1, and the 4 years after that `scenario2`. Calculate in units of 4 years, in whic...
[ "def", "which_epi_janus_resonance", "(", "name", ",", "time", ")", ":", "t1", "=", "Time", "(", "'2002-01-21'", ")", ".", "to_datetime", "(", ")", "delta", "=", "Time", "(", "time", ")", ".", "to_datetime", "(", ")", "-", "t1", "yearfraction", "=", "de...
Find which swap situtation we are in by time. Starting from 2006-01-21 where a Janus-Epimetheus swap occured, and defining the next 4 years until the next swap as `scenario1, and the 4 years after that `scenario2`. Calculate in units of 4 years, in which scenario the given time falls. Parameters ...
[ "Find", "which", "swap", "situtation", "we", "are", "in", "by", "time", "." ]
train
https://github.com/michaelaye/pyciss/blob/019256424466060babead7edab86736c881b0831/pyciss/_utils.py#L4-L29
koordinates/python-client
koordinates/layers.py
LayerManager.list_drafts
def list_drafts(self): """ A filterable list views of layers, returning the draft version of each layer. If the most recent version of a layer or table has been published already, it won’t be returned here. """ target_url = self.client.get_url('LAYER', 'GET', 'multidraft'...
python
def list_drafts(self): """ A filterable list views of layers, returning the draft version of each layer. If the most recent version of a layer or table has been published already, it won’t be returned here. """ target_url = self.client.get_url('LAYER', 'GET', 'multidraft'...
[ "def", "list_drafts", "(", "self", ")", ":", "target_url", "=", "self", ".", "client", ".", "get_url", "(", "'LAYER'", ",", "'GET'", ",", "'multidraft'", ")", "return", "base", ".", "Query", "(", "self", ",", "target_url", ")" ]
A filterable list views of layers, returning the draft version of each layer. If the most recent version of a layer or table has been published already, it won’t be returned here.
[ "A", "filterable", "list", "views", "of", "layers", "returning", "the", "draft", "version", "of", "each", "layer", ".", "If", "the", "most", "recent", "version", "of", "a", "layer", "or", "table", "has", "been", "published", "already", "it", "won’t", "be",...
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L42-L49
koordinates/python-client
koordinates/layers.py
LayerManager.list_versions
def list_versions(self, layer_id): """ Filterable list of versions of a layer, always ordered newest to oldest. If the version’s source supports revisions, you can get a specific revision using ``.filter(data__source__revision=value)``. Specific values depend on the source type. ...
python
def list_versions(self, layer_id): """ Filterable list of versions of a layer, always ordered newest to oldest. If the version’s source supports revisions, you can get a specific revision using ``.filter(data__source__revision=value)``. Specific values depend on the source type. ...
[ "def", "list_versions", "(", "self", ",", "layer_id", ")", ":", "target_url", "=", "self", ".", "client", ".", "get_url", "(", "'VERSION'", ",", "'GET'", ",", "'multi'", ",", "{", "'layer_id'", ":", "layer_id", "}", ")", "return", "base", ".", "Query", ...
Filterable list of versions of a layer, always ordered newest to oldest. If the version’s source supports revisions, you can get a specific revision using ``.filter(data__source__revision=value)``. Specific values depend on the source type. Use ``data__source_revision__lt`` or ``data__source_re...
[ "Filterable", "list", "of", "versions", "of", "a", "layer", "always", "ordered", "newest", "to", "oldest", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L61-L71
koordinates/python-client
koordinates/layers.py
LayerManager.get_version
def get_version(self, layer_id, version_id, expand=[]): """ Get a specific version of a layer. """ target_url = self.client.get_url('VERSION', 'GET', 'single', {'layer_id': layer_id, 'version_id': version_id}) return self._get(target_url, expand=expand)
python
def get_version(self, layer_id, version_id, expand=[]): """ Get a specific version of a layer. """ target_url = self.client.get_url('VERSION', 'GET', 'single', {'layer_id': layer_id, 'version_id': version_id}) return self._get(target_url, expand=expand)
[ "def", "get_version", "(", "self", ",", "layer_id", ",", "version_id", ",", "expand", "=", "[", "]", ")", ":", "target_url", "=", "self", ".", "client", ".", "get_url", "(", "'VERSION'", ",", "'GET'", ",", "'single'", ",", "{", "'layer_id'", ":", "laye...
Get a specific version of a layer.
[ "Get", "a", "specific", "version", "of", "a", "layer", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L73-L78
koordinates/python-client
koordinates/layers.py
LayerManager.get_draft
def get_draft(self, layer_id, expand=[]): """ Get the current draft version of a layer. :raises NotFound: if there is no draft version. """ target_url = self.client.get_url('VERSION', 'GET', 'draft', {'layer_id': layer_id}) return self._get(target_url, expand=expand)
python
def get_draft(self, layer_id, expand=[]): """ Get the current draft version of a layer. :raises NotFound: if there is no draft version. """ target_url = self.client.get_url('VERSION', 'GET', 'draft', {'layer_id': layer_id}) return self._get(target_url, expand=expand)
[ "def", "get_draft", "(", "self", ",", "layer_id", ",", "expand", "=", "[", "]", ")", ":", "target_url", "=", "self", ".", "client", ".", "get_url", "(", "'VERSION'", ",", "'GET'", ",", "'draft'", ",", "{", "'layer_id'", ":", "layer_id", "}", ")", "re...
Get the current draft version of a layer. :raises NotFound: if there is no draft version.
[ "Get", "the", "current", "draft", "version", "of", "a", "layer", ".", ":", "raises", "NotFound", ":", "if", "there", "is", "no", "draft", "version", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L80-L86
koordinates/python-client
koordinates/layers.py
LayerManager.get_published
def get_published(self, layer_id, expand=[]): """ Get the latest published version of this layer. :raises NotFound: if there is no published version. """ target_url = self.client.get_url('VERSION', 'GET', 'published', {'layer_id': layer_id}) return self._get(target_url, e...
python
def get_published(self, layer_id, expand=[]): """ Get the latest published version of this layer. :raises NotFound: if there is no published version. """ target_url = self.client.get_url('VERSION', 'GET', 'published', {'layer_id': layer_id}) return self._get(target_url, e...
[ "def", "get_published", "(", "self", ",", "layer_id", ",", "expand", "=", "[", "]", ")", ":", "target_url", "=", "self", ".", "client", ".", "get_url", "(", "'VERSION'", ",", "'GET'", ",", "'published'", ",", "{", "'layer_id'", ":", "layer_id", "}", ")...
Get the latest published version of this layer. :raises NotFound: if there is no published version.
[ "Get", "the", "latest", "published", "version", "of", "this", "layer", ".", ":", "raises", "NotFound", ":", "if", "there", "is", "no", "published", "version", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L88-L94
koordinates/python-client
koordinates/layers.py
LayerManager.create_draft
def create_draft(self, layer_id): """ Creates a new draft version. If anything in the data object has changed then an import will begin immediately. Otherwise to force a re-import from the previous sources call :py:meth:`koordinates.layers.LayerManager.start_import`. :rtype: La...
python
def create_draft(self, layer_id): """ Creates a new draft version. If anything in the data object has changed then an import will begin immediately. Otherwise to force a re-import from the previous sources call :py:meth:`koordinates.layers.LayerManager.start_import`. :rtype: La...
[ "def", "create_draft", "(", "self", ",", "layer_id", ")", ":", "target_url", "=", "self", ".", "client", ".", "get_url", "(", "'VERSION'", ",", "'POST'", ",", "'create'", ",", "{", "'layer_id'", ":", "layer_id", "}", ")", "r", "=", "self", ".", "client...
Creates a new draft version. If anything in the data object has changed then an import will begin immediately. Otherwise to force a re-import from the previous sources call :py:meth:`koordinates.layers.LayerManager.start_import`. :rtype: Layer :return: the new version :raises C...
[ "Creates", "a", "new", "draft", "version", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L96-L109
koordinates/python-client
koordinates/layers.py
LayerManager.start_import
def start_import(self, layer_id, version_id): """ Starts importing the specified draft version (cancelling any running import), even if the data object hasn’t changed from the previous version. """ target_url = self.client.get_url('VERSION', 'POST', 'import', {'layer_id': layer_i...
python
def start_import(self, layer_id, version_id): """ Starts importing the specified draft version (cancelling any running import), even if the data object hasn’t changed from the previous version. """ target_url = self.client.get_url('VERSION', 'POST', 'import', {'layer_id': layer_i...
[ "def", "start_import", "(", "self", ",", "layer_id", ",", "version_id", ")", ":", "target_url", "=", "self", ".", "client", ".", "get_url", "(", "'VERSION'", ",", "'POST'", ",", "'import'", ",", "{", "'layer_id'", ":", "layer_id", ",", "'version_id'", ":",...
Starts importing the specified draft version (cancelling any running import), even if the data object hasn’t changed from the previous version.
[ "Starts", "importing", "the", "specified", "draft", "version", "(", "cancelling", "any", "running", "import", ")", "even", "if", "the", "data", "object", "hasn’t", "changed", "from", "the", "previous", "version", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L111-L118
koordinates/python-client
koordinates/layers.py
LayerManager.start_update
def start_update(self, layer_id): """ A shortcut to create a new version and start importing it. Effectively the same as :py:meth:`koordinates.layers.LayerManager.create_draft` followed by :py:meth:`koordinates.layers.LayerManager.start_import`. """ target_url = self.client.get_u...
python
def start_update(self, layer_id): """ A shortcut to create a new version and start importing it. Effectively the same as :py:meth:`koordinates.layers.LayerManager.create_draft` followed by :py:meth:`koordinates.layers.LayerManager.start_import`. """ target_url = self.client.get_u...
[ "def", "start_update", "(", "self", ",", "layer_id", ")", ":", "target_url", "=", "self", ".", "client", ".", "get_url", "(", "'LAYER'", ",", "'POST'", ",", "'update'", ",", "{", "'layer_id'", ":", "layer_id", "}", ")", "r", "=", "self", ".", "client",...
A shortcut to create a new version and start importing it. Effectively the same as :py:meth:`koordinates.layers.LayerManager.create_draft` followed by :py:meth:`koordinates.layers.LayerManager.start_import`.
[ "A", "shortcut", "to", "create", "a", "new", "version", "and", "start", "importing", "it", ".", "Effectively", "the", "same", "as", ":", "py", ":", "meth", ":", "koordinates", ".", "layers", ".", "LayerManager", ".", "create_draft", "followed", "by", ":", ...
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L120-L127
koordinates/python-client
koordinates/layers.py
LayerManager.set_metadata
def set_metadata(self, layer_id, version_id, fp): """ Set the XML metadata on a layer draft version. :param file fp: file-like object to read the XML metadata from. :raises NotAllowed: if the version is already published. """ base_url = self.client.get_url('VERSION', 'GE...
python
def set_metadata(self, layer_id, version_id, fp): """ Set the XML metadata on a layer draft version. :param file fp: file-like object to read the XML metadata from. :raises NotAllowed: if the version is already published. """ base_url = self.client.get_url('VERSION', 'GE...
[ "def", "set_metadata", "(", "self", ",", "layer_id", ",", "version_id", ",", "fp", ")", ":", "base_url", "=", "self", ".", "client", ".", "get_url", "(", "'VERSION'", ",", "'GET'", ",", "'single'", ",", "{", "'layer_id'", ":", "layer_id", ",", "'version_...
Set the XML metadata on a layer draft version. :param file fp: file-like object to read the XML metadata from. :raises NotAllowed: if the version is already published.
[ "Set", "the", "XML", "metadata", "on", "a", "layer", "draft", "version", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L129-L137
koordinates/python-client
koordinates/layers.py
Layer.is_published_version
def is_published_version(self): """ Return if this version is the published version of a layer """ pub_ver = getattr(self, 'published_version', None) this_ver = getattr(self, 'this_version', None) return this_ver and pub_ver and (this_ver == pub_ver)
python
def is_published_version(self): """ Return if this version is the published version of a layer """ pub_ver = getattr(self, 'published_version', None) this_ver = getattr(self, 'this_version', None) return this_ver and pub_ver and (this_ver == pub_ver)
[ "def", "is_published_version", "(", "self", ")", ":", "pub_ver", "=", "getattr", "(", "self", ",", "'published_version'", ",", "None", ")", "this_ver", "=", "getattr", "(", "self", ",", "'this_version'", ",", "None", ")", "return", "this_ver", "and", "pub_ve...
Return if this version is the published version of a layer
[ "Return", "if", "this", "version", "is", "the", "published", "version", "of", "a", "layer" ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L172-L176
koordinates/python-client
koordinates/layers.py
Layer.is_draft_version
def is_draft_version(self): """ Return if this version is the draft version of a layer """ pub_ver = getattr(self, 'published_version', None) latest_ver = getattr(self, 'latest_version', None) this_ver = getattr(self, 'this_version', None) return this_ver and latest_ver and (this...
python
def is_draft_version(self): """ Return if this version is the draft version of a layer """ pub_ver = getattr(self, 'published_version', None) latest_ver = getattr(self, 'latest_version', None) this_ver = getattr(self, 'this_version', None) return this_ver and latest_ver and (this...
[ "def", "is_draft_version", "(", "self", ")", ":", "pub_ver", "=", "getattr", "(", "self", ",", "'published_version'", ",", "None", ")", "latest_ver", "=", "getattr", "(", "self", ",", "'latest_version'", ",", "None", ")", "this_ver", "=", "getattr", "(", "...
Return if this version is the draft version of a layer
[ "Return", "if", "this", "version", "is", "the", "draft", "version", "of", "a", "layer" ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L179-L184
koordinates/python-client
koordinates/layers.py
Layer.list_versions
def list_versions(self): """ Filterable list of versions of a layer, always ordered newest to oldest. If the version’s source supports revisions, you can get a specific revision using ``.filter(data__source__revision=value)``. Specific values depend on the source type. Use ``dat...
python
def list_versions(self): """ Filterable list of versions of a layer, always ordered newest to oldest. If the version’s source supports revisions, you can get a specific revision using ``.filter(data__source__revision=value)``. Specific values depend on the source type. Use ``dat...
[ "def", "list_versions", "(", "self", ")", ":", "target_url", "=", "self", ".", "_client", ".", "get_url", "(", "'VERSION'", ",", "'GET'", ",", "'multi'", ",", "{", "'layer_id'", ":", "self", ".", "id", "}", ")", "return", "base", ".", "Query", "(", "...
Filterable list of versions of a layer, always ordered newest to oldest. If the version’s source supports revisions, you can get a specific revision using ``.filter(data__source__revision=value)``. Specific values depend on the source type. Use ``data__source_revision__lt`` or ``data__source_re...
[ "Filterable", "list", "of", "versions", "of", "a", "layer", "always", "ordered", "newest", "to", "oldest", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L187-L197
koordinates/python-client
koordinates/layers.py
Layer.get_version
def get_version(self, version_id, expand=[]): """ Get a specific version of this layer """ target_url = self._client.get_url('VERSION', 'GET', 'single', {'layer_id': self.id, 'version_id': version_id}) return self._manager._get(target_url, expand=expand)
python
def get_version(self, version_id, expand=[]): """ Get a specific version of this layer """ target_url = self._client.get_url('VERSION', 'GET', 'single', {'layer_id': self.id, 'version_id': version_id}) return self._manager._get(target_url, expand=expand)
[ "def", "get_version", "(", "self", ",", "version_id", ",", "expand", "=", "[", "]", ")", ":", "target_url", "=", "self", ".", "_client", ".", "get_url", "(", "'VERSION'", ",", "'GET'", ",", "'single'", ",", "{", "'layer_id'", ":", "self", ".", "id", ...
Get a specific version of this layer
[ "Get", "a", "specific", "version", "of", "this", "layer" ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L200-L205
koordinates/python-client
koordinates/layers.py
Layer.get_draft_version
def get_draft_version(self, expand=[]): """ Get the current draft version of this layer. :raises NotFound: if there is no draft version. """ target_url = self._client.get_url('VERSION', 'GET', 'draft', {'layer_id': self.id}) return self._manager._get(target_url, expand=ex...
python
def get_draft_version(self, expand=[]): """ Get the current draft version of this layer. :raises NotFound: if there is no draft version. """ target_url = self._client.get_url('VERSION', 'GET', 'draft', {'layer_id': self.id}) return self._manager._get(target_url, expand=ex...
[ "def", "get_draft_version", "(", "self", ",", "expand", "=", "[", "]", ")", ":", "target_url", "=", "self", ".", "_client", ".", "get_url", "(", "'VERSION'", ",", "'GET'", ",", "'draft'", ",", "{", "'layer_id'", ":", "self", ".", "id", "}", ")", "ret...
Get the current draft version of this layer. :raises NotFound: if there is no draft version.
[ "Get", "the", "current", "draft", "version", "of", "this", "layer", ".", ":", "raises", "NotFound", ":", "if", "there", "is", "no", "draft", "version", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L208-L214
koordinates/python-client
koordinates/layers.py
Layer.start_import
def start_import(self, version_id=None): """ Starts importing this draft layerversion (cancelling any running import), even if the data object hasn’t changed from the previous version. :raises Conflict: if this version is already published. """ if not version_id: ...
python
def start_import(self, version_id=None): """ Starts importing this draft layerversion (cancelling any running import), even if the data object hasn’t changed from the previous version. :raises Conflict: if this version is already published. """ if not version_id: ...
[ "def", "start_import", "(", "self", ",", "version_id", "=", "None", ")", ":", "if", "not", "version_id", ":", "version_id", "=", "self", ".", "version", ".", "id", "target_url", "=", "self", ".", "_client", ".", "get_url", "(", "'VERSION'", ",", "'POST'"...
Starts importing this draft layerversion (cancelling any running import), even if the data object hasn’t changed from the previous version. :raises Conflict: if this version is already published.
[ "Starts", "importing", "this", "draft", "layerversion", "(", "cancelling", "any", "running", "import", ")", "even", "if", "the", "data", "object", "hasn’t", "changed", "from", "the", "previous", "version", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L242-L254
koordinates/python-client
koordinates/layers.py
Layer.start_update
def start_update(self): """ A shortcut to create a new version and start importing it. Effectively the same as :py:meth:`.create_draft_version` followed by :py:meth:`koordinates.layers.Layer.start_import`. :rtype: Layer :return: the new version :raises Conflict: if there...
python
def start_update(self): """ A shortcut to create a new version and start importing it. Effectively the same as :py:meth:`.create_draft_version` followed by :py:meth:`koordinates.layers.Layer.start_import`. :rtype: Layer :return: the new version :raises Conflict: if there...
[ "def", "start_update", "(", "self", ")", ":", "target_url", "=", "self", ".", "_client", ".", "get_url", "(", "'LAYER'", ",", "'POST'", ",", "'update'", ",", "{", "'layer_id'", ":", "self", ".", "id", "}", ")", "r", "=", "self", ".", "_client", ".", ...
A shortcut to create a new version and start importing it. Effectively the same as :py:meth:`.create_draft_version` followed by :py:meth:`koordinates.layers.Layer.start_import`. :rtype: Layer :return: the new version :raises Conflict: if there is already a draft version for this layer.
[ "A", "shortcut", "to", "create", "a", "new", "version", "and", "start", "importing", "it", ".", "Effectively", "the", "same", "as", ":", "py", ":", "meth", ":", ".", "create_draft_version", "followed", "by", ":", "py", ":", "meth", ":", "koordinates", "....
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L257-L268
koordinates/python-client
koordinates/layers.py
Layer.publish
def publish(self, version_id=None): """ Creates a publish task just for this version, which publishes as soon as any import is complete. :return: the publish task :rtype: Publish :raises Conflict: If the version is already published, or already has a publish job. """ ...
python
def publish(self, version_id=None): """ Creates a publish task just for this version, which publishes as soon as any import is complete. :return: the publish task :rtype: Publish :raises Conflict: If the version is already published, or already has a publish job. """ ...
[ "def", "publish", "(", "self", ",", "version_id", "=", "None", ")", ":", "if", "not", "version_id", ":", "version_id", "=", "self", ".", "version", ".", "id", "target_url", "=", "self", ".", "_client", ".", "get_url", "(", "'VERSION'", ",", "'POST'", "...
Creates a publish task just for this version, which publishes as soon as any import is complete. :return: the publish task :rtype: Publish :raises Conflict: If the version is already published, or already has a publish job.
[ "Creates", "a", "publish", "task", "just", "for", "this", "version", "which", "publishes", "as", "soon", "as", "any", "import", "is", "complete", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L271-L284
koordinates/python-client
koordinates/layers.py
Layer.save
def save(self, with_data=False): """ Edits this draft layerversion. # If anything in the data object has changed, cancel any existing import and start a new one. :param bool with_data: if ``True``, send the data object, which will start a new import and cancel any existing o...
python
def save(self, with_data=False): """ Edits this draft layerversion. # If anything in the data object has changed, cancel any existing import and start a new one. :param bool with_data: if ``True``, send the data object, which will start a new import and cancel any existing o...
[ "def", "save", "(", "self", ",", "with_data", "=", "False", ")", ":", "target_url", "=", "self", ".", "_client", ".", "get_url", "(", "'VERSION'", ",", "'PUT'", ",", "'edit'", ",", "{", "'layer_id'", ":", "self", ".", "id", ",", "'version_id'", ":", ...
Edits this draft layerversion. # If anything in the data object has changed, cancel any existing import and start a new one. :param bool with_data: if ``True``, send the data object, which will start a new import and cancel any existing one. If ``False``, the data object will *not* be sent,...
[ "Edits", "this", "draft", "layerversion", ".", "#", "If", "anything", "in", "the", "data", "object", "has", "changed", "cancel", "any", "existing", "import", "and", "start", "a", "new", "one", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L287-L298
koordinates/python-client
koordinates/layers.py
Layer.delete_version
def delete_version(self, version_id=None): """ Deletes this draft version (revert to published) :raises NotAllowed: if this version is already published. :raises Conflict: if this version is already deleted. """ if not version_id: version_id = self.version.id...
python
def delete_version(self, version_id=None): """ Deletes this draft version (revert to published) :raises NotAllowed: if this version is already published. :raises Conflict: if this version is already deleted. """ if not version_id: version_id = self.version.id...
[ "def", "delete_version", "(", "self", ",", "version_id", "=", "None", ")", ":", "if", "not", "version_id", ":", "version_id", "=", "self", ".", "version", ".", "id", "target_url", "=", "self", ".", "_client", ".", "get_url", "(", "'VERSION'", ",", "'DELE...
Deletes this draft version (revert to published) :raises NotAllowed: if this version is already published. :raises Conflict: if this version is already deleted.
[ "Deletes", "this", "draft", "version", "(", "revert", "to", "published", ")" ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/layers.py#L301-L313
koordinates/python-client
koordinates/catalog.py
CatalogManager._get_item_class
def _get_item_class(self, url): """ Return the model class matching a URL """ if '/layers/' in url: return Layer elif '/tables/' in url: return Table elif '/sets/' in url: return Set # elif '/documents/' in url: # return Document ...
python
def _get_item_class(self, url): """ Return the model class matching a URL """ if '/layers/' in url: return Layer elif '/tables/' in url: return Table elif '/sets/' in url: return Set # elif '/documents/' in url: # return Document ...
[ "def", "_get_item_class", "(", "self", ",", "url", ")", ":", "if", "'/layers/'", "in", "url", ":", "return", "Layer", "elif", "'/tables/'", "in", "url", ":", "return", "Table", "elif", "'/sets/'", "in", "url", ":", "return", "Set", "# elif '/documents/' in u...
Return the model class matching a URL
[ "Return", "the", "model", "class", "matching", "a", "URL" ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/catalog.py#L40-L51
michaelaye/pyciss
pyciss/solitons.py
get_year_since_resonance
def get_year_since_resonance(ringcube): "Calculate the fraction of the year since moon swap." t0 = dt(2006, 1, 21) td = ringcube.imagetime - t0 return td.days / 365.25
python
def get_year_since_resonance(ringcube): "Calculate the fraction of the year since moon swap." t0 = dt(2006, 1, 21) td = ringcube.imagetime - t0 return td.days / 365.25
[ "def", "get_year_since_resonance", "(", "ringcube", ")", ":", "t0", "=", "dt", "(", "2006", ",", "1", ",", "21", ")", "td", "=", "ringcube", ".", "imagetime", "-", "t0", "return", "td", ".", "days", "/", "365.25" ]
Calculate the fraction of the year since moon swap.
[ "Calculate", "the", "fraction", "of", "the", "year", "since", "moon", "swap", "." ]
train
https://github.com/michaelaye/pyciss/blob/019256424466060babead7edab86736c881b0831/pyciss/solitons.py#L12-L16
michaelaye/pyciss
pyciss/solitons.py
create_polynoms
def create_polynoms(): """Create and return poly1d objects. Uses the parameters from Morgan to create poly1d objects for calculations. """ fname = pr.resource_filename('pyciss', 'data/soliton_prediction_parameters.csv') res_df = pd.read_csv(fname) polys = {} for resorder, row in zip('65...
python
def create_polynoms(): """Create and return poly1d objects. Uses the parameters from Morgan to create poly1d objects for calculations. """ fname = pr.resource_filename('pyciss', 'data/soliton_prediction_parameters.csv') res_df = pd.read_csv(fname) polys = {} for resorder, row in zip('65...
[ "def", "create_polynoms", "(", ")", ":", "fname", "=", "pr", ".", "resource_filename", "(", "'pyciss'", ",", "'data/soliton_prediction_parameters.csv'", ")", "res_df", "=", "pd", ".", "read_csv", "(", "fname", ")", "polys", "=", "{", "}", "for", "resorder", ...
Create and return poly1d objects. Uses the parameters from Morgan to create poly1d objects for calculations.
[ "Create", "and", "return", "poly1d", "objects", "." ]
train
https://github.com/michaelaye/pyciss/blob/019256424466060babead7edab86736c881b0831/pyciss/solitons.py#L19-L32
michaelaye/pyciss
pyciss/solitons.py
check_for_soliton
def check_for_soliton(img_id): """Workhorse function. Creates the polynom. Calculates radius constraints from attributes in `ringcube` object. Parameters ---------- ringcube : pyciss.ringcube.RingCube A containter class for a ring-projected ISS image file. Returns ------- ...
python
def check_for_soliton(img_id): """Workhorse function. Creates the polynom. Calculates radius constraints from attributes in `ringcube` object. Parameters ---------- ringcube : pyciss.ringcube.RingCube A containter class for a ring-projected ISS image file. Returns ------- ...
[ "def", "check_for_soliton", "(", "img_id", ")", ":", "pm", "=", "io", ".", "PathManager", "(", "img_id", ")", "try", ":", "ringcube", "=", "RingCube", "(", "pm", ".", "cubepath", ")", "except", "FileNotFoundError", ":", "ringcube", "=", "RingCube", "(", ...
Workhorse function. Creates the polynom. Calculates radius constraints from attributes in `ringcube` object. Parameters ---------- ringcube : pyciss.ringcube.RingCube A containter class for a ring-projected ISS image file. Returns ------- dict Dictionary with all solit...
[ "Workhorse", "function", "." ]
train
https://github.com/michaelaye/pyciss/blob/019256424466060babead7edab86736c881b0831/pyciss/solitons.py#L35-L66
koordinates/python-client
koordinates/client.py
Client.get_manager
def get_manager(self, model): """ Return the active manager for the given model. :param model: Model class to look up the manager instance for. :return: Manager instance for the model associated with this client. """ if isinstance(model, six.string_types): # u...
python
def get_manager(self, model): """ Return the active manager for the given model. :param model: Model class to look up the manager instance for. :return: Manager instance for the model associated with this client. """ if isinstance(model, six.string_types): # u...
[ "def", "get_manager", "(", "self", ",", "model", ")", ":", "if", "isinstance", "(", "model", ",", "six", ".", "string_types", ")", ":", "# undocumented string lookup", "for", "k", ",", "m", "in", "self", ".", "_manager_map", ".", "items", "(", ")", ":", ...
Return the active manager for the given model. :param model: Model class to look up the manager instance for. :return: Manager instance for the model associated with this client.
[ "Return", "the", "active", "manager", "for", "the", "given", "model", ".", ":", "param", "model", ":", "Model", "class", "to", "look", "up", "the", "manager", "instance", "for", ".", ":", "return", ":", "Manager", "instance", "for", "the", "model", "asso...
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/client.py#L102-L116
koordinates/python-client
koordinates/client.py
Client._assemble_headers
def _assemble_headers(self, method, user_headers=None): """ Takes the supplied headers and adds in any which are defined at a client level and then returns the result. :param user_headers: a `dict` containing headers defined at the request level, opt...
python
def _assemble_headers(self, method, user_headers=None): """ Takes the supplied headers and adds in any which are defined at a client level and then returns the result. :param user_headers: a `dict` containing headers defined at the request level, opt...
[ "def", "_assemble_headers", "(", "self", ",", "method", ",", "user_headers", "=", "None", ")", ":", "headers", "=", "copy", ".", "deepcopy", "(", "user_headers", "or", "{", "}", ")", "if", "method", "not", "in", "(", "'GET'", ",", "'HEAD'", ")", ":", ...
Takes the supplied headers and adds in any which are defined at a client level and then returns the result. :param user_headers: a `dict` containing headers defined at the request level, optional. :return: a `dict` instance
[ "Takes", "the", "supplied", "headers", "and", "adds", "in", "any", "which", "are", "defined", "at", "a", "client", "level", "and", "then", "returns", "the", "result", "." ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/client.py#L119-L136
koordinates/python-client
koordinates/client.py
Client.reverse_url
def reverse_url(self, datatype, url, verb='GET', urltype='single', api_version=None): """ Extracts parameters from a populated URL :param datatype: a string identifying the data the url accesses. :param url: the fully-qualified URL to extract parameters from. :param verb: the HT...
python
def reverse_url(self, datatype, url, verb='GET', urltype='single', api_version=None): """ Extracts parameters from a populated URL :param datatype: a string identifying the data the url accesses. :param url: the fully-qualified URL to extract parameters from. :param verb: the HT...
[ "def", "reverse_url", "(", "self", ",", "datatype", ",", "url", ",", "verb", "=", "'GET'", ",", "urltype", "=", "'single'", ",", "api_version", "=", "None", ")", ":", "api_version", "=", "api_version", "or", "'v1'", "templates", "=", "getattr", "(", "sel...
Extracts parameters from a populated URL :param datatype: a string identifying the data the url accesses. :param url: the fully-qualified URL to extract parameters from. :param verb: the HTTP verb needed for use with the url. :param urltype: an adjective used to the nature of the reques...
[ "Extracts", "parameters", "from", "a", "populated", "URL" ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/client.py#L185-L210
koordinates/python-client
koordinates/client.py
Client.get_url
def get_url(self, datatype, verb, urltype, params={}, api_host=None, api_version=None): """Returns a fully formed url :param datatype: a string identifying the data the url will access. :param verb: the HTTP verb needed for use with the url. :param urltype: an adjective used to the natu...
python
def get_url(self, datatype, verb, urltype, params={}, api_host=None, api_version=None): """Returns a fully formed url :param datatype: a string identifying the data the url will access. :param verb: the HTTP verb needed for use with the url. :param urltype: an adjective used to the natu...
[ "def", "get_url", "(", "self", ",", "datatype", ",", "verb", ",", "urltype", ",", "params", "=", "{", "}", ",", "api_host", "=", "None", ",", "api_version", "=", "None", ")", ":", "api_version", "=", "api_version", "or", "'v1'", "api_host", "=", "api_h...
Returns a fully formed url :param datatype: a string identifying the data the url will access. :param verb: the HTTP verb needed for use with the url. :param urltype: an adjective used to the nature of the request. :param \*\*params: substitution variables for the URL. :return: ...
[ "Returns", "a", "fully", "formed", "url" ]
train
https://github.com/koordinates/python-client/blob/f3dc7cd164f5a9499b2454cd1d4516e9d4b3c252/koordinates/client.py#L212-L231
Unidata/siphon
siphon/cdmr/xarray_support.py
CDMRemoteStore.open_store_variable
def open_store_variable(self, name, var): """Turn CDMRemote variable into something like a numpy.ndarray.""" data = indexing.LazilyOuterIndexedArray(CDMArrayWrapper(name, self)) return Variable(var.dimensions, data, {a: getattr(var, a) for a in var.ncattrs()})
python
def open_store_variable(self, name, var): """Turn CDMRemote variable into something like a numpy.ndarray.""" data = indexing.LazilyOuterIndexedArray(CDMArrayWrapper(name, self)) return Variable(var.dimensions, data, {a: getattr(var, a) for a in var.ncattrs()})
[ "def", "open_store_variable", "(", "self", ",", "name", ",", "var", ")", ":", "data", "=", "indexing", ".", "LazilyOuterIndexedArray", "(", "CDMArrayWrapper", "(", "name", ",", "self", ")", ")", "return", "Variable", "(", "var", ".", "dimensions", ",", "da...
Turn CDMRemote variable into something like a numpy.ndarray.
[ "Turn", "CDMRemote", "variable", "into", "something", "like", "a", "numpy", ".", "ndarray", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/xarray_support.py#L52-L55
Unidata/siphon
siphon/cdmr/xarray_support.py
CDMRemoteStore.get_attrs
def get_attrs(self): """Get the global attributes from underlying data set.""" return FrozenOrderedDict((a, getattr(self.ds, a)) for a in self.ds.ncattrs())
python
def get_attrs(self): """Get the global attributes from underlying data set.""" return FrozenOrderedDict((a, getattr(self.ds, a)) for a in self.ds.ncattrs())
[ "def", "get_attrs", "(", "self", ")", ":", "return", "FrozenOrderedDict", "(", "(", "a", ",", "getattr", "(", "self", ".", "ds", ",", "a", ")", ")", "for", "a", "in", "self", ".", "ds", ".", "ncattrs", "(", ")", ")" ]
Get the global attributes from underlying data set.
[ "Get", "the", "global", "attributes", "from", "underlying", "data", "set", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/xarray_support.py#L62-L64
Unidata/siphon
siphon/cdmr/xarray_support.py
CDMRemoteStore.get_dimensions
def get_dimensions(self): """Get the dimensions from underlying data set.""" return FrozenOrderedDict((k, len(v)) for k, v in self.ds.dimensions.items())
python
def get_dimensions(self): """Get the dimensions from underlying data set.""" return FrozenOrderedDict((k, len(v)) for k, v in self.ds.dimensions.items())
[ "def", "get_dimensions", "(", "self", ")", ":", "return", "FrozenOrderedDict", "(", "(", "k", ",", "len", "(", "v", ")", ")", "for", "k", ",", "v", "in", "self", ".", "ds", ".", "dimensions", ".", "items", "(", ")", ")" ]
Get the dimensions from underlying data set.
[ "Get", "the", "dimensions", "from", "underlying", "data", "set", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/xarray_support.py#L66-L68
Unidata/siphon
siphon/catalog.py
_find_base_tds_url
def _find_base_tds_url(catalog_url): """Identify the base URL of the THREDDS server from the catalog URL. Will retain URL scheme, host, port and username/password when present. """ url_components = urlparse(catalog_url) if url_components.path: return catalog_url.split(url_components.path)[0...
python
def _find_base_tds_url(catalog_url): """Identify the base URL of the THREDDS server from the catalog URL. Will retain URL scheme, host, port and username/password when present. """ url_components = urlparse(catalog_url) if url_components.path: return catalog_url.split(url_components.path)[0...
[ "def", "_find_base_tds_url", "(", "catalog_url", ")", ":", "url_components", "=", "urlparse", "(", "catalog_url", ")", "if", "url_components", ".", "path", ":", "return", "catalog_url", ".", "split", "(", "url_components", ".", "path", ")", "[", "0", "]", "e...
Identify the base URL of the THREDDS server from the catalog URL. Will retain URL scheme, host, port and username/password when present.
[ "Identify", "the", "base", "URL", "of", "the", "THREDDS", "server", "from", "the", "catalog", "URL", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/catalog.py#L790-L799
Unidata/siphon
siphon/catalog.py
DatasetCollection.filter_time_nearest
def filter_time_nearest(self, time, regex=None): """Filter keys for an item closest to the desired time. Loops over all keys in the collection and uses `regex` to extract and build `datetime`s. The collection of `datetime`s is compared to `start` and the value that has a `datetime` clos...
python
def filter_time_nearest(self, time, regex=None): """Filter keys for an item closest to the desired time. Loops over all keys in the collection and uses `regex` to extract and build `datetime`s. The collection of `datetime`s is compared to `start` and the value that has a `datetime` clos...
[ "def", "filter_time_nearest", "(", "self", ",", "time", ",", "regex", "=", "None", ")", ":", "return", "min", "(", "self", ".", "_get_datasets_with_times", "(", "regex", ")", ",", "key", "=", "lambda", "i", ":", "abs", "(", "(", "i", "[", "0", "]", ...
Filter keys for an item closest to the desired time. Loops over all keys in the collection and uses `regex` to extract and build `datetime`s. The collection of `datetime`s is compared to `start` and the value that has a `datetime` closest to that requested is returned.If none of the keys in the...
[ "Filter", "keys", "for", "an", "item", "closest", "to", "the", "desired", "time", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/catalog.py#L74-L100
Unidata/siphon
siphon/catalog.py
DatasetCollection.filter_time_range
def filter_time_range(self, start, end, regex=None): """Filter keys for all items within the desired time range. Loops over all keys in the collection and uses `regex` to extract and build `datetime`s. From the collection of `datetime`s, all values within `start` and `end` (inclusive) a...
python
def filter_time_range(self, start, end, regex=None): """Filter keys for all items within the desired time range. Loops over all keys in the collection and uses `regex` to extract and build `datetime`s. From the collection of `datetime`s, all values within `start` and `end` (inclusive) a...
[ "def", "filter_time_range", "(", "self", ",", "start", ",", "end", ",", "regex", "=", "None", ")", ":", "return", "[", "item", "[", "-", "1", "]", "for", "item", "in", "self", ".", "_get_datasets_with_times", "(", "regex", ")", "if", "start", "<=", "...
Filter keys for all items within the desired time range. Loops over all keys in the collection and uses `regex` to extract and build `datetime`s. From the collection of `datetime`s, all values within `start` and `end` (inclusive) are returned. If none of the keys in the collection match the reg...
[ "Filter", "keys", "for", "all", "items", "within", "the", "desired", "time", "range", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/catalog.py#L102-L129
Unidata/siphon
siphon/catalog.py
CaseInsensitiveDict.pop
def pop(self, key, *args, **kwargs): """Remove and return the value associated with case-insensitive ``key``.""" return super(CaseInsensitiveDict, self).pop(CaseInsensitiveStr(key))
python
def pop(self, key, *args, **kwargs): """Remove and return the value associated with case-insensitive ``key``.""" return super(CaseInsensitiveDict, self).pop(CaseInsensitiveStr(key))
[ "def", "pop", "(", "self", ",", "key", ",", "*", "args", ",", "*", "*", "kwargs", ")", ":", "return", "super", "(", "CaseInsensitiveDict", ",", "self", ")", ".", "pop", "(", "CaseInsensitiveStr", "(", "key", ")", ")" ]
Remove and return the value associated with case-insensitive ``key``.
[ "Remove", "and", "return", "the", "value", "associated", "with", "case", "-", "insensitive", "key", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/catalog.py#L210-L212
Unidata/siphon
siphon/catalog.py
CaseInsensitiveDict._keys_to_lower
def _keys_to_lower(self): """Convert key set to lowercase.""" for k in list(self.keys()): val = super(CaseInsensitiveDict, self).__getitem__(k) super(CaseInsensitiveDict, self).__delitem__(k) self.__setitem__(CaseInsensitiveStr(k), val)
python
def _keys_to_lower(self): """Convert key set to lowercase.""" for k in list(self.keys()): val = super(CaseInsensitiveDict, self).__getitem__(k) super(CaseInsensitiveDict, self).__delitem__(k) self.__setitem__(CaseInsensitiveStr(k), val)
[ "def", "_keys_to_lower", "(", "self", ")", ":", "for", "k", "in", "list", "(", "self", ".", "keys", "(", ")", ")", ":", "val", "=", "super", "(", "CaseInsensitiveDict", ",", "self", ")", ".", "__getitem__", "(", "k", ")", "super", "(", "CaseInsensiti...
Convert key set to lowercase.
[ "Convert", "key", "set", "to", "lowercase", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/catalog.py#L214-L219
Unidata/siphon
siphon/catalog.py
Dataset.resolve_url
def resolve_url(self, catalog_url): """Resolve the url of the dataset when reading latest.xml. Parameters ---------- catalog_url : str The catalog url to be resolved """ if catalog_url != '': resolver_base = catalog_url.split('catalog.xml')[0] ...
python
def resolve_url(self, catalog_url): """Resolve the url of the dataset when reading latest.xml. Parameters ---------- catalog_url : str The catalog url to be resolved """ if catalog_url != '': resolver_base = catalog_url.split('catalog.xml')[0] ...
[ "def", "resolve_url", "(", "self", ",", "catalog_url", ")", ":", "if", "catalog_url", "!=", "''", ":", "resolver_base", "=", "catalog_url", ".", "split", "(", "'catalog.xml'", ")", "[", "0", "]", "resolver_url", "=", "resolver_base", "+", "self", ".", "url...
Resolve the url of the dataset when reading latest.xml. Parameters ---------- catalog_url : str The catalog url to be resolved
[ "Resolve", "the", "url", "of", "the", "dataset", "when", "reading", "latest", ".", "xml", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/catalog.py#L477-L509
Unidata/siphon
siphon/catalog.py
Dataset.make_access_urls
def make_access_urls(self, catalog_url, all_services, metadata=None): """Make fully qualified urls for the access methods enabled on the dataset. Parameters ---------- catalog_url : str The top level server url all_services : List[SimpleService] list of :...
python
def make_access_urls(self, catalog_url, all_services, metadata=None): """Make fully qualified urls for the access methods enabled on the dataset. Parameters ---------- catalog_url : str The top level server url all_services : List[SimpleService] list of :...
[ "def", "make_access_urls", "(", "self", ",", "catalog_url", ",", "all_services", ",", "metadata", "=", "None", ")", ":", "all_service_dict", "=", "CaseInsensitiveDict", "(", "{", "}", ")", "for", "service", "in", "all_services", ":", "all_service_dict", "[", "...
Make fully qualified urls for the access methods enabled on the dataset. Parameters ---------- catalog_url : str The top level server url all_services : List[SimpleService] list of :class:`SimpleService` objects associated with the dataset metadata : dict...
[ "Make", "fully", "qualified", "urls", "for", "the", "access", "methods", "enabled", "on", "the", "dataset", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/catalog.py#L511-L560
Unidata/siphon
siphon/catalog.py
Dataset.add_access_element_info
def add_access_element_info(self, access_element): """Create an access method from a catalog element.""" service_name = access_element.attrib['serviceName'] url_path = access_element.attrib['urlPath'] self.access_element_info[service_name] = url_path
python
def add_access_element_info(self, access_element): """Create an access method from a catalog element.""" service_name = access_element.attrib['serviceName'] url_path = access_element.attrib['urlPath'] self.access_element_info[service_name] = url_path
[ "def", "add_access_element_info", "(", "self", ",", "access_element", ")", ":", "service_name", "=", "access_element", ".", "attrib", "[", "'serviceName'", "]", "url_path", "=", "access_element", ".", "attrib", "[", "'urlPath'", "]", "self", ".", "access_element_i...
Create an access method from a catalog element.
[ "Create", "an", "access", "method", "from", "a", "catalog", "element", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/catalog.py#L562-L566
Unidata/siphon
siphon/catalog.py
Dataset.download
def download(self, filename=None): """Download the dataset to a local file. Parameters ---------- filename : str, optional The full path to which the dataset will be saved """ if filename is None: filename = self.name with self.remote_ope...
python
def download(self, filename=None): """Download the dataset to a local file. Parameters ---------- filename : str, optional The full path to which the dataset will be saved """ if filename is None: filename = self.name with self.remote_ope...
[ "def", "download", "(", "self", ",", "filename", "=", "None", ")", ":", "if", "filename", "is", "None", ":", "filename", "=", "self", ".", "name", "with", "self", ".", "remote_open", "(", ")", "as", "infile", ":", "with", "open", "(", "filename", ","...
Download the dataset to a local file. Parameters ---------- filename : str, optional The full path to which the dataset will be saved
[ "Download", "the", "dataset", "to", "a", "local", "file", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/catalog.py#L568-L581
Unidata/siphon
siphon/catalog.py
Dataset.remote_access
def remote_access(self, service=None, use_xarray=None): """Access the remote dataset. Open the remote dataset and get a netCDF4-compatible `Dataset` object providing index-based subsetting capabilities. Parameters ---------- service : str, optional The name ...
python
def remote_access(self, service=None, use_xarray=None): """Access the remote dataset. Open the remote dataset and get a netCDF4-compatible `Dataset` object providing index-based subsetting capabilities. Parameters ---------- service : str, optional The name ...
[ "def", "remote_access", "(", "self", ",", "service", "=", "None", ",", "use_xarray", "=", "None", ")", ":", "if", "service", "is", "None", ":", "service", "=", "'CdmRemote'", "if", "'CdmRemote'", "in", "self", ".", "access_urls", "else", "'OPENDAP'", "if",...
Access the remote dataset. Open the remote dataset and get a netCDF4-compatible `Dataset` object providing index-based subsetting capabilities. Parameters ---------- service : str, optional The name of the service to use for access to the dataset, either ...
[ "Access", "the", "remote", "dataset", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/catalog.py#L596-L620
Unidata/siphon
siphon/catalog.py
Dataset.subset
def subset(self, service=None): """Subset the dataset. Open the remote dataset and get a client for talking to ``service``. Parameters ---------- service : str, optional The name of the service for subsetting the dataset. Defaults to 'NetcdfSubset' or 'N...
python
def subset(self, service=None): """Subset the dataset. Open the remote dataset and get a client for talking to ``service``. Parameters ---------- service : str, optional The name of the service for subsetting the dataset. Defaults to 'NetcdfSubset' or 'N...
[ "def", "subset", "(", "self", ",", "service", "=", "None", ")", ":", "if", "service", "is", "None", ":", "for", "serviceName", "in", "self", ".", "ncssServiceNames", ":", "if", "serviceName", "in", "self", ".", "access_urls", ":", "service", "=", "servic...
Subset the dataset. Open the remote dataset and get a client for talking to ``service``. Parameters ---------- service : str, optional The name of the service for subsetting the dataset. Defaults to 'NetcdfSubset' or 'NetcdfServer', in that order, depending on t...
[ "Subset", "the", "dataset", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/catalog.py#L622-L650
Unidata/siphon
siphon/catalog.py
Dataset.access_with_service
def access_with_service(self, service, use_xarray=None): """Access the dataset using a particular service. Return an Python object capable of communicating with the server using the particular service. For instance, for 'HTTPServer' this is a file-like object capable of HTTP communicati...
python
def access_with_service(self, service, use_xarray=None): """Access the dataset using a particular service. Return an Python object capable of communicating with the server using the particular service. For instance, for 'HTTPServer' this is a file-like object capable of HTTP communicati...
[ "def", "access_with_service", "(", "self", ",", "service", ",", "use_xarray", "=", "None", ")", ":", "service", "=", "CaseInsensitiveStr", "(", "service", ")", "if", "service", "==", "'CdmRemote'", ":", "if", "use_xarray", ":", "from", ".", "cdmr", ".", "x...
Access the dataset using a particular service. Return an Python object capable of communicating with the server using the particular service. For instance, for 'HTTPServer' this is a file-like object capable of HTTP communication; for OPENDAP this is a netCDF4 dataset. Parameters ...
[ "Access", "the", "dataset", "using", "a", "particular", "service", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/catalog.py#L652-L705
Unidata/siphon
siphon/_tools.py
get_wind_components
def get_wind_components(speed, wdir): r"""Calculate the U, V wind vector components from the speed and direction. Parameters ---------- speed : array_like The wind speed (magnitude) wdir : array_like The wind direction, specified as the direction from which the wind is blowi...
python
def get_wind_components(speed, wdir): r"""Calculate the U, V wind vector components from the speed and direction. Parameters ---------- speed : array_like The wind speed (magnitude) wdir : array_like The wind direction, specified as the direction from which the wind is blowi...
[ "def", "get_wind_components", "(", "speed", ",", "wdir", ")", ":", "u", "=", "-", "speed", "*", "np", ".", "sin", "(", "wdir", ")", "v", "=", "-", "speed", "*", "np", ".", "cos", "(", "wdir", ")", "return", "u", ",", "v" ]
r"""Calculate the U, V wind vector components from the speed and direction. Parameters ---------- speed : array_like The wind speed (magnitude) wdir : array_like The wind direction, specified as the direction from which the wind is blowing, with 0 being North. Returns -...
[ "r", "Calculate", "the", "U", "V", "wind", "vector", "components", "from", "the", "speed", "and", "direction", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/_tools.py#L9-L29
Unidata/siphon
siphon/cdmr/cdmremotefeature.py
CDMRemoteFeature._get_metadata
def _get_metadata(self): """Get header information and store as metadata for the endpoint.""" self.metadata = self.fetch_header() self.variables = {g.name for g in self.metadata.grids}
python
def _get_metadata(self): """Get header information and store as metadata for the endpoint.""" self.metadata = self.fetch_header() self.variables = {g.name for g in self.metadata.grids}
[ "def", "_get_metadata", "(", "self", ")", ":", "self", ".", "metadata", "=", "self", ".", "fetch_header", "(", ")", "self", ".", "variables", "=", "{", "g", ".", "name", "for", "g", "in", "self", ".", "metadata", ".", "grids", "}" ]
Get header information and store as metadata for the endpoint.
[ "Get", "header", "information", "and", "store", "as", "metadata", "for", "the", "endpoint", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/cdmremotefeature.py#L20-L23
Unidata/siphon
siphon/cdmr/cdmremotefeature.py
CDMRemoteFeature.fetch_header
def fetch_header(self): """Make a header request to the endpoint.""" query = self.query().add_query_parameter(req='header') return self._parse_messages(self.get_query(query).content)[0]
python
def fetch_header(self): """Make a header request to the endpoint.""" query = self.query().add_query_parameter(req='header') return self._parse_messages(self.get_query(query).content)[0]
[ "def", "fetch_header", "(", "self", ")", ":", "query", "=", "self", ".", "query", "(", ")", ".", "add_query_parameter", "(", "req", "=", "'header'", ")", "return", "self", ".", "_parse_messages", "(", "self", ".", "get_query", "(", "query", ")", ".", "...
Make a header request to the endpoint.
[ "Make", "a", "header", "request", "to", "the", "endpoint", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/cdmremotefeature.py#L25-L28
Unidata/siphon
siphon/cdmr/cdmremotefeature.py
CDMRemoteFeature.fetch_feature_type
def fetch_feature_type(self): """Request the featureType from the endpoint.""" query = self.query().add_query_parameter(req='featureType') return self.get_query(query).content
python
def fetch_feature_type(self): """Request the featureType from the endpoint.""" query = self.query().add_query_parameter(req='featureType') return self.get_query(query).content
[ "def", "fetch_feature_type", "(", "self", ")", ":", "query", "=", "self", ".", "query", "(", ")", ".", "add_query_parameter", "(", "req", "=", "'featureType'", ")", "return", "self", ".", "get_query", "(", "query", ")", ".", "content" ]
Request the featureType from the endpoint.
[ "Request", "the", "featureType", "from", "the", "endpoint", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/cdmremotefeature.py#L30-L33
Unidata/siphon
siphon/cdmr/cdmremotefeature.py
CDMRemoteFeature.fetch_coords
def fetch_coords(self, query): """Pull down coordinate data from the endpoint.""" q = query.add_query_parameter(req='coord') return self._parse_messages(self.get_query(q).content)
python
def fetch_coords(self, query): """Pull down coordinate data from the endpoint.""" q = query.add_query_parameter(req='coord') return self._parse_messages(self.get_query(q).content)
[ "def", "fetch_coords", "(", "self", ",", "query", ")", ":", "q", "=", "query", ".", "add_query_parameter", "(", "req", "=", "'coord'", ")", "return", "self", ".", "_parse_messages", "(", "self", ".", "get_query", "(", "q", ")", ".", "content", ")" ]
Pull down coordinate data from the endpoint.
[ "Pull", "down", "coordinate", "data", "from", "the", "endpoint", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/cdmremotefeature.py#L35-L38
Unidata/siphon
siphon/simplewebservice/igra2.py
IGRAUpperAir.request_data
def request_data(cls, time, site_id, derived=False): """Retreive IGRA version 2 data for one station. Parameters -------- site_id : str 11-character IGRA2 station identifier. time : datetime The date and time of the desired observation. If list of two tim...
python
def request_data(cls, time, site_id, derived=False): """Retreive IGRA version 2 data for one station. Parameters -------- site_id : str 11-character IGRA2 station identifier. time : datetime The date and time of the desired observation. If list of two tim...
[ "def", "request_data", "(", "cls", ",", "time", ",", "site_id", ",", "derived", "=", "False", ")", ":", "igra2", "=", "cls", "(", ")", "# Set parameters for data query", "if", "derived", ":", "igra2", ".", "ftpsite", "=", "igra2", ".", "ftpsite", "+", "'...
Retreive IGRA version 2 data for one station. Parameters -------- site_id : str 11-character IGRA2 station identifier. time : datetime The date and time of the desired observation. If list of two times is given, dataframes for all dates within the two ...
[ "Retreive", "IGRA", "version", "2", "data", "for", "one", "station", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/igra2.py#L35-L72
Unidata/siphon
siphon/simplewebservice/igra2.py
IGRAUpperAir._get_data
def _get_data(self): """Process the IGRA2 text file for observations at site_id matching time. Return: ------- :class: `pandas.DataFrame` containing the body data. :class: `pandas.DataFrame` containing the header data. """ # Split the list of times into b...
python
def _get_data(self): """Process the IGRA2 text file for observations at site_id matching time. Return: ------- :class: `pandas.DataFrame` containing the body data. :class: `pandas.DataFrame` containing the header data. """ # Split the list of times into b...
[ "def", "_get_data", "(", "self", ")", ":", "# Split the list of times into begin and end dates. If only", "# one date is supplied, set both begin and end dates equal to that date.", "body", ",", "header", ",", "dates_long", ",", "dates", "=", "self", ".", "_get_data_raw", "(", ...
Process the IGRA2 text file for observations at site_id matching time. Return: ------- :class: `pandas.DataFrame` containing the body data. :class: `pandas.DataFrame` containing the header data.
[ "Process", "the", "IGRA2", "text", "file", "for", "observations", "at", "site_id", "matching", "time", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/igra2.py#L74-L97
Unidata/siphon
siphon/simplewebservice/igra2.py
IGRAUpperAir._get_data_raw
def _get_data_raw(self): """Download observations matching the time range. Returns a tuple with a string for the body, string for the headers, and a list of dates. """ # Import need to be here so we can monkeypatch urlopen for testing and avoid # downloading live data fo...
python
def _get_data_raw(self): """Download observations matching the time range. Returns a tuple with a string for the body, string for the headers, and a list of dates. """ # Import need to be here so we can monkeypatch urlopen for testing and avoid # downloading live data fo...
[ "def", "_get_data_raw", "(", "self", ")", ":", "# Import need to be here so we can monkeypatch urlopen for testing and avoid", "# downloading live data for testing", "try", ":", "from", "urllib", ".", "request", "import", "urlopen", "except", "ImportError", ":", "from", "urll...
Download observations matching the time range. Returns a tuple with a string for the body, string for the headers, and a list of dates.
[ "Download", "observations", "matching", "the", "time", "range", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/igra2.py#L99-L119
Unidata/siphon
siphon/simplewebservice/igra2.py
IGRAUpperAir._select_date_range
def _select_date_range(self, lines): """Identify lines containing headers within the range begin_date to end_date. Parameters ----- lines: list list of lines from the IGRA2 data file. """ headers = [] num_lev = [] dates = [] # Get in...
python
def _select_date_range(self, lines): """Identify lines containing headers within the range begin_date to end_date. Parameters ----- lines: list list of lines from the IGRA2 data file. """ headers = [] num_lev = [] dates = [] # Get in...
[ "def", "_select_date_range", "(", "self", ",", "lines", ")", ":", "headers", "=", "[", "]", "num_lev", "=", "[", "]", "dates", "=", "[", "]", "# Get indices of headers, and make a list of dates and num_lev", "for", "idx", ",", "line", "in", "enumerate", "(", "...
Identify lines containing headers within the range begin_date to end_date. Parameters ----- lines: list list of lines from the IGRA2 data file.
[ "Identify", "lines", "containing", "headers", "within", "the", "range", "begin_date", "to", "end_date", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/igra2.py#L121-L174
Unidata/siphon
siphon/simplewebservice/igra2.py
IGRAUpperAir._get_fwf_params
def _get_fwf_params(self): """Produce a dictionary with names, colspecs, and dtype for IGRA2 data. Returns a dict with entries 'body' and 'header'. """ def _cdec(power=1): """Make a function to convert string 'value*10^power' to float.""" def _cdec_power(val): ...
python
def _get_fwf_params(self): """Produce a dictionary with names, colspecs, and dtype for IGRA2 data. Returns a dict with entries 'body' and 'header'. """ def _cdec(power=1): """Make a function to convert string 'value*10^power' to float.""" def _cdec_power(val): ...
[ "def", "_get_fwf_params", "(", "self", ")", ":", "def", "_cdec", "(", "power", "=", "1", ")", ":", "\"\"\"Make a function to convert string 'value*10^power' to float.\"\"\"", "def", "_cdec_power", "(", "val", ")", ":", "if", "val", "in", "[", "'-9999'", ",", "'-...
Produce a dictionary with names, colspecs, and dtype for IGRA2 data. Returns a dict with entries 'body' and 'header'.
[ "Produce", "a", "dictionary", "with", "names", "colspecs", "and", "dtype", "for", "IGRA2", "data", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/igra2.py#L176-L356
Unidata/siphon
siphon/simplewebservice/igra2.py
IGRAUpperAir._clean_body_df
def _clean_body_df(self, df): """Format the dataframe, remove empty rows, and add units attribute.""" if self.suffix == '-drvd.txt': df = df.dropna(subset=('temperature', 'reported_relative_humidity', 'u_wind', 'v_wind'), how='all').reset_index(drop=True) ...
python
def _clean_body_df(self, df): """Format the dataframe, remove empty rows, and add units attribute.""" if self.suffix == '-drvd.txt': df = df.dropna(subset=('temperature', 'reported_relative_humidity', 'u_wind', 'v_wind'), how='all').reset_index(drop=True) ...
[ "def", "_clean_body_df", "(", "self", ",", "df", ")", ":", "if", "self", ".", "suffix", "==", "'-drvd.txt'", ":", "df", "=", "df", ".", "dropna", "(", "subset", "=", "(", "'temperature'", ",", "'reported_relative_humidity'", ",", "'u_wind'", ",", "'v_wind'...
Format the dataframe, remove empty rows, and add units attribute.
[ "Format", "the", "dataframe", "remove", "empty", "rows", "and", "add", "units", "attribute", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/igra2.py#L358-L407
Unidata/siphon
siphon/simplewebservice/igra2.py
IGRAUpperAir._clean_header_df
def _clean_header_df(self, df): """Format the header dataframe and add units.""" if self.suffix == '-drvd.txt': df.units = {'release_time': 'second', 'precipitable_water': 'millimeter', 'inv_pressure': 'hPa', 'inv_height...
python
def _clean_header_df(self, df): """Format the header dataframe and add units.""" if self.suffix == '-drvd.txt': df.units = {'release_time': 'second', 'precipitable_water': 'millimeter', 'inv_pressure': 'hPa', 'inv_height...
[ "def", "_clean_header_df", "(", "self", ",", "df", ")", ":", "if", "self", ".", "suffix", "==", "'-drvd.txt'", ":", "df", ".", "units", "=", "{", "'release_time'", ":", "'second'", ",", "'precipitable_water'", ":", "'millimeter'", ",", "'inv_pressure'", ":",...
Format the header dataframe and add units.
[ "Format", "the", "header", "dataframe", "and", "add", "units", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/igra2.py#L409-L439
Unidata/siphon
siphon/simplewebservice/ndbc.py
NDBC.realtime_observations
def realtime_observations(cls, buoy, data_type='txt'): """Retrieve the realtime buoy data from NDBC. Parameters ---------- buoy : str Name of buoy data_type : str Type of data requested, must be one of 'txt' standard meteorological data ...
python
def realtime_observations(cls, buoy, data_type='txt'): """Retrieve the realtime buoy data from NDBC. Parameters ---------- buoy : str Name of buoy data_type : str Type of data requested, must be one of 'txt' standard meteorological data ...
[ "def", "realtime_observations", "(", "cls", ",", "buoy", ",", "data_type", "=", "'txt'", ")", ":", "endpoint", "=", "cls", "(", ")", "parsers", "=", "{", "'txt'", ":", "endpoint", ".", "_parse_met", ",", "'drift'", ":", "endpoint", ".", "_parse_drift", "...
Retrieve the realtime buoy data from NDBC. Parameters ---------- buoy : str Name of buoy data_type : str Type of data requested, must be one of 'txt' standard meteorological data 'drift' meteorological data from drifting buoys and limited ...
[ "Retrieve", "the", "realtime", "buoy", "data", "from", "NDBC", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/ndbc.py#L26-L67
Unidata/siphon
siphon/simplewebservice/ndbc.py
NDBC._parse_met
def _parse_met(content): """Parse standard meteorological data from NDBC buoys. Parameters ---------- content : str Data to parse Returns ------- :class:`pandas.DataFrame` containing the data """ col_names = ['year', 'month', 'da...
python
def _parse_met(content): """Parse standard meteorological data from NDBC buoys. Parameters ---------- content : str Data to parse Returns ------- :class:`pandas.DataFrame` containing the data """ col_names = ['year', 'month', 'da...
[ "def", "_parse_met", "(", "content", ")", ":", "col_names", "=", "[", "'year'", ",", "'month'", ",", "'day'", ",", "'hour'", ",", "'minute'", ",", "'wind_direction'", ",", "'wind_speed'", ",", "'wind_gust'", ",", "'wave_height'", ",", "'dominant_wave_period'", ...
Parse standard meteorological data from NDBC buoys. Parameters ---------- content : str Data to parse Returns ------- :class:`pandas.DataFrame` containing the data
[ "Parse", "standard", "meteorological", "data", "from", "NDBC", "buoys", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/ndbc.py#L70-L111
Unidata/siphon
siphon/simplewebservice/ndbc.py
NDBC._parse_supl
def _parse_supl(content): """Parse supplemental measurements data. Parameters ---------- content : str Data to parse Returns ------- :class:`pandas.DataFrame` containing the data """ col_names = ['year', 'month', 'day', 'hour', '...
python
def _parse_supl(content): """Parse supplemental measurements data. Parameters ---------- content : str Data to parse Returns ------- :class:`pandas.DataFrame` containing the data """ col_names = ['year', 'month', 'day', 'hour', '...
[ "def", "_parse_supl", "(", "content", ")", ":", "col_names", "=", "[", "'year'", ",", "'month'", ",", "'day'", ",", "'hour'", ",", "'minute'", ",", "'hourly_low_pressure'", ",", "'hourly_low_pressure_time'", ",", "'hourly_high_wind'", ",", "'hourly_high_wind_directi...
Parse supplemental measurements data. Parameters ---------- content : str Data to parse Returns ------- :class:`pandas.DataFrame` containing the data
[ "Parse", "supplemental", "measurements", "data", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/ndbc.py#L369-L414
Unidata/siphon
siphon/simplewebservice/ndbc.py
NDBC._check_if_url_valid
def _check_if_url_valid(url): """Check if a url is valid (returns 200) or not. Parameters ---------- url : str URL to check Returns ------- bool if url is valid """ r = requests.head(url) if r.status_code == 200: ...
python
def _check_if_url_valid(url): """Check if a url is valid (returns 200) or not. Parameters ---------- url : str URL to check Returns ------- bool if url is valid """ r = requests.head(url) if r.status_code == 200: ...
[ "def", "_check_if_url_valid", "(", "url", ")", ":", "r", "=", "requests", ".", "head", "(", "url", ")", "if", "r", ".", "status_code", "==", "200", ":", "return", "True", "else", ":", "return", "False" ]
Check if a url is valid (returns 200) or not. Parameters ---------- url : str URL to check Returns ------- bool if url is valid
[ "Check", "if", "a", "url", "is", "valid", "(", "returns", "200", ")", "or", "not", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/ndbc.py#L462-L479
Unidata/siphon
siphon/simplewebservice/ndbc.py
NDBC.buoy_data_types
def buoy_data_types(cls, buoy): """Determine which types of data are available for a given buoy. Parameters ---------- buoy : str Buoy name Returns ------- dict of valid file extensions and their descriptions """ endpoint = cls()...
python
def buoy_data_types(cls, buoy): """Determine which types of data are available for a given buoy. Parameters ---------- buoy : str Buoy name Returns ------- dict of valid file extensions and their descriptions """ endpoint = cls()...
[ "def", "buoy_data_types", "(", "cls", ",", "buoy", ")", ":", "endpoint", "=", "cls", "(", ")", "file_types", "=", "{", "'txt'", ":", "'standard meteorological data'", ",", "'drift'", ":", "'meteorological data from drifting buoys and limited moored'", "'buoy data mainly...
Determine which types of data are available for a given buoy. Parameters ---------- buoy : str Buoy name Returns ------- dict of valid file extensions and their descriptions
[ "Determine", "which", "types", "of", "data", "are", "available", "for", "a", "given", "buoy", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/ndbc.py#L482-L518
Unidata/siphon
siphon/simplewebservice/ndbc.py
NDBC.raw_buoy_data
def raw_buoy_data(cls, buoy, data_type='txt'): """Retrieve the raw buoy data contents from NDBC. Parameters ---------- buoy : str Name of buoy data_type : str Type of data requested, must be one of 'txt' standard meteorological data ...
python
def raw_buoy_data(cls, buoy, data_type='txt'): """Retrieve the raw buoy data contents from NDBC. Parameters ---------- buoy : str Name of buoy data_type : str Type of data requested, must be one of 'txt' standard meteorological data ...
[ "def", "raw_buoy_data", "(", "cls", ",", "buoy", ",", "data_type", "=", "'txt'", ")", ":", "endpoint", "=", "cls", "(", ")", "resp", "=", "endpoint", ".", "get_path", "(", "'data/realtime2/{}.{}'", ".", "format", "(", "buoy", ",", "data_type", ")", ")", ...
Retrieve the raw buoy data contents from NDBC. Parameters ---------- buoy : str Name of buoy data_type : str Type of data requested, must be one of 'txt' standard meteorological data 'drift' meteorological data from drifting buoys and lim...
[ "Retrieve", "the", "raw", "buoy", "data", "contents", "from", "NDBC", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/ndbc.py#L521-L556
Unidata/siphon
siphon/http_util.py
HTTPSessionManager.create_session
def create_session(self): """Create a new HTTP session with our user-agent set. Returns ------- session : requests.Session The created session See Also -------- urlopen, set_session_options """ ret = requests.Session() ret.he...
python
def create_session(self): """Create a new HTTP session with our user-agent set. Returns ------- session : requests.Session The created session See Also -------- urlopen, set_session_options """ ret = requests.Session() ret.he...
[ "def", "create_session", "(", "self", ")", ":", "ret", "=", "requests", ".", "Session", "(", ")", "ret", ".", "headers", "[", "'User-Agent'", "]", "=", "self", ".", "user_agent", "for", "k", ",", "v", "in", "self", ".", "options", ".", "items", "(", ...
Create a new HTTP session with our user-agent set. Returns ------- session : requests.Session The created session See Also -------- urlopen, set_session_options
[ "Create", "a", "new", "HTTP", "session", "with", "our", "user", "-", "agent", "set", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/http_util.py#L71-L88
Unidata/siphon
siphon/http_util.py
HTTPSessionManager.urlopen
def urlopen(self, url, **kwargs): """GET a file-like object for a URL using HTTP. This is a thin wrapper around :meth:`requests.Session.get` that returns a file-like object wrapped around the resulting content. Parameters ---------- url : str The URL to requ...
python
def urlopen(self, url, **kwargs): """GET a file-like object for a URL using HTTP. This is a thin wrapper around :meth:`requests.Session.get` that returns a file-like object wrapped around the resulting content. Parameters ---------- url : str The URL to requ...
[ "def", "urlopen", "(", "self", ",", "url", ",", "*", "*", "kwargs", ")", ":", "return", "BytesIO", "(", "self", ".", "create_session", "(", ")", ".", "get", "(", "url", ",", "*", "*", "kwargs", ")", ".", "content", ")" ]
GET a file-like object for a URL using HTTP. This is a thin wrapper around :meth:`requests.Session.get` that returns a file-like object wrapped around the resulting content. Parameters ---------- url : str The URL to request kwargs : arbitrary keyword argum...
[ "GET", "a", "file", "-", "like", "object", "for", "a", "URL", "using", "HTTP", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/http_util.py#L90-L114
Unidata/siphon
siphon/http_util.py
DataQuery.lonlat_box
def lonlat_box(self, west, east, south, north): """Add a latitude/longitude bounding box to the query. This adds a request for a spatial bounding box, bounded by ('north', 'south') for latitude and ('east', 'west') for the longitude. This modifies the query in-place, but returns `self` ...
python
def lonlat_box(self, west, east, south, north): """Add a latitude/longitude bounding box to the query. This adds a request for a spatial bounding box, bounded by ('north', 'south') for latitude and ('east', 'west') for the longitude. This modifies the query in-place, but returns `self` ...
[ "def", "lonlat_box", "(", "self", ",", "west", ",", "east", ",", "south", ",", "north", ")", ":", "self", ".", "_set_query", "(", "self", ".", "spatial_query", ",", "west", "=", "west", ",", "east", "=", "east", ",", "south", "=", "south", ",", "no...
Add a latitude/longitude bounding box to the query. This adds a request for a spatial bounding box, bounded by ('north', 'south') for latitude and ('east', 'west') for the longitude. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on...
[ "Add", "a", "latitude", "/", "longitude", "bounding", "box", "to", "the", "query", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/http_util.py#L197-L226
Unidata/siphon
siphon/http_util.py
DataQuery.lonlat_point
def lonlat_point(self, lon, lat): """Add a latitude/longitude point to the query. This adds a request for a (`lon`, `lat`) point. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on one line. This replaces any existing spatia...
python
def lonlat_point(self, lon, lat): """Add a latitude/longitude point to the query. This adds a request for a (`lon`, `lat`) point. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on one line. This replaces any existing spatia...
[ "def", "lonlat_point", "(", "self", ",", "lon", ",", "lat", ")", ":", "self", ".", "_set_query", "(", "self", ".", "spatial_query", ",", "longitude", "=", "lon", ",", "latitude", "=", "lat", ")", "return", "self" ]
Add a latitude/longitude point to the query. This adds a request for a (`lon`, `lat`) point. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on one line. This replaces any existing spatial queries that have been set. Parame...
[ "Add", "a", "latitude", "/", "longitude", "point", "to", "the", "query", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/http_util.py#L228-L251
Unidata/siphon
siphon/http_util.py
DataQuery.time
def time(self, time): """Add a request for a specific time to the query. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on one line. This replaces any existing temporal queries that have been set. Parameters ------...
python
def time(self, time): """Add a request for a specific time to the query. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on one line. This replaces any existing temporal queries that have been set. Parameters ------...
[ "def", "time", "(", "self", ",", "time", ")", ":", "self", ".", "_set_query", "(", "self", ".", "time_query", ",", "time", "=", "self", ".", "_format_time", "(", "time", ")", ")", "return", "self" ]
Add a request for a specific time to the query. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on one line. This replaces any existing temporal queries that have been set. Parameters ---------- time : datetime.date...
[ "Add", "a", "request", "for", "a", "specific", "time", "to", "the", "query", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/http_util.py#L277-L297
Unidata/siphon
siphon/http_util.py
DataQuery.time_range
def time_range(self, start, end): """Add a request for a time range to the query. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on one line. This replaces any existing temporal queries that have been set. Parameters ...
python
def time_range(self, start, end): """Add a request for a time range to the query. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on one line. This replaces any existing temporal queries that have been set. Parameters ...
[ "def", "time_range", "(", "self", ",", "start", ",", "end", ")", ":", "self", ".", "_set_query", "(", "self", ".", "time_query", ",", "time_start", "=", "self", ".", "_format_time", "(", "start", ")", ",", "time_end", "=", "self", ".", "_format_time", ...
Add a request for a time range to the query. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on one line. This replaces any existing temporal queries that have been set. Parameters ---------- start : datetime.dateti...
[ "Add", "a", "request", "for", "a", "time", "range", "to", "the", "query", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/http_util.py#L299-L322
Unidata/siphon
siphon/http_util.py
HTTPEndPoint.get_query
def get_query(self, query): """Make a GET request, including a query, to the endpoint. The path of the request is to the base URL assigned to the endpoint. Parameters ---------- query : DataQuery The query to pass when making the request Returns ---...
python
def get_query(self, query): """Make a GET request, including a query, to the endpoint. The path of the request is to the base URL assigned to the endpoint. Parameters ---------- query : DataQuery The query to pass when making the request Returns ---...
[ "def", "get_query", "(", "self", ",", "query", ")", ":", "url", "=", "self", ".", "_base", "[", ":", "-", "1", "]", "if", "self", ".", "_base", "[", "-", "1", "]", "==", "'/'", "else", "self", ".", "_base", "return", "self", ".", "get", "(", ...
Make a GET request, including a query, to the endpoint. The path of the request is to the base URL assigned to the endpoint. Parameters ---------- query : DataQuery The query to pass when making the request Returns ------- resp : requests.Response ...
[ "Make", "a", "GET", "request", "including", "a", "query", "to", "the", "endpoint", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/http_util.py#L381-L402
Unidata/siphon
siphon/http_util.py
HTTPEndPoint.get_path
def get_path(self, path, query=None): """Make a GET request, optionally including a query, to a relative path. The path of the request includes a path on top of the base URL assigned to the endpoint. Parameters ---------- path : str The path to request, rela...
python
def get_path(self, path, query=None): """Make a GET request, optionally including a query, to a relative path. The path of the request includes a path on top of the base URL assigned to the endpoint. Parameters ---------- path : str The path to request, rela...
[ "def", "get_path", "(", "self", ",", "path", ",", "query", "=", "None", ")", ":", "return", "self", ".", "get", "(", "self", ".", "url_path", "(", "path", ")", ",", "query", ")" ]
Make a GET request, optionally including a query, to a relative path. The path of the request includes a path on top of the base URL assigned to the endpoint. Parameters ---------- path : str The path to request, relative to the endpoint query : DataQuery, o...
[ "Make", "a", "GET", "request", "optionally", "including", "a", "query", "to", "a", "relative", "path", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/http_util.py#L426-L449
Unidata/siphon
siphon/http_util.py
HTTPEndPoint.get
def get(self, path, params=None): """Make a GET request, optionally including a parameters, to a path. The path of the request is the full URL. Parameters ---------- path : str The URL to request params : DataQuery, optional The query to pass whe...
python
def get(self, path, params=None): """Make a GET request, optionally including a parameters, to a path. The path of the request is the full URL. Parameters ---------- path : str The URL to request params : DataQuery, optional The query to pass whe...
[ "def", "get", "(", "self", ",", "path", ",", "params", "=", "None", ")", ":", "resp", "=", "self", ".", "_session", ".", "get", "(", "path", ",", "params", "=", "params", ")", "if", "resp", ".", "status_code", "!=", "200", ":", "if", "resp", ".",...
Make a GET request, optionally including a parameters, to a path. The path of the request is the full URL. Parameters ---------- path : str The URL to request params : DataQuery, optional The query to pass when making the request Returns ...
[ "Make", "a", "GET", "request", "optionally", "including", "a", "parameters", "to", "a", "path", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/http_util.py#L451-L488
Unidata/siphon
siphon/cdmr/dataset.py
Group.path
def path(self): """Return the full path to the Group, including any parent Groups.""" # If root, return '/' if self.dataset is self: return '' else: # Otherwise recurse return self.dataset.path + '/' + self.name
python
def path(self): """Return the full path to the Group, including any parent Groups.""" # If root, return '/' if self.dataset is self: return '' else: # Otherwise recurse return self.dataset.path + '/' + self.name
[ "def", "path", "(", "self", ")", ":", "# If root, return '/'", "if", "self", ".", "dataset", "is", "self", ":", "return", "''", "else", ":", "# Otherwise recurse", "return", "self", ".", "dataset", ".", "path", "+", "'/'", "+", "self", ".", "name" ]
Return the full path to the Group, including any parent Groups.
[ "Return", "the", "full", "path", "to", "the", "Group", "including", "any", "parent", "Groups", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/dataset.py#L53-L59
Unidata/siphon
siphon/cdmr/dataset.py
Group.load_from_stream
def load_from_stream(self, group): """Load a Group from an NCStream object.""" self._unpack_attrs(group.atts) self.name = group.name for dim in group.dims: new_dim = Dimension(self, dim.name) self.dimensions[dim.name] = new_dim new_dim.load_from_strea...
python
def load_from_stream(self, group): """Load a Group from an NCStream object.""" self._unpack_attrs(group.atts) self.name = group.name for dim in group.dims: new_dim = Dimension(self, dim.name) self.dimensions[dim.name] = new_dim new_dim.load_from_strea...
[ "def", "load_from_stream", "(", "self", ",", "group", ")", ":", "self", ".", "_unpack_attrs", "(", "group", ".", "atts", ")", "self", ".", "name", "=", "group", ".", "name", "for", "dim", "in", "group", ".", "dims", ":", "new_dim", "=", "Dimension", ...
Load a Group from an NCStream object.
[ "Load", "a", "Group", "from", "an", "NCStream", "object", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/dataset.py#L61-L89
Unidata/siphon
siphon/cdmr/dataset.py
Variable.load_from_stream
def load_from_stream(self, var): """Populate the Variable from an NCStream object.""" dims = [] for d in var.shape: dim = Dimension(None, d.name) dim.load_from_stream(d) dims.append(dim) self.dimensions = tuple(dim.name for dim in dims) self.s...
python
def load_from_stream(self, var): """Populate the Variable from an NCStream object.""" dims = [] for d in var.shape: dim = Dimension(None, d.name) dim.load_from_stream(d) dims.append(dim) self.dimensions = tuple(dim.name for dim in dims) self.s...
[ "def", "load_from_stream", "(", "self", ",", "var", ")", ":", "dims", "=", "[", "]", "for", "d", "in", "var", ".", "shape", ":", "dim", "=", "Dimension", "(", "None", ",", "d", ".", "name", ")", "dim", ".", "load_from_stream", "(", "d", ")", "dim...
Populate the Variable from an NCStream object.
[ "Populate", "the", "Variable", "from", "an", "NCStream", "object", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/dataset.py#L288-L310
Unidata/siphon
siphon/cdmr/dataset.py
Dimension.load_from_stream
def load_from_stream(self, dim): """Load from an NCStream object.""" self.unlimited = dim.isUnlimited self.private = dim.isPrivate self.vlen = dim.isVlen if not self.vlen: self.size = dim.length
python
def load_from_stream(self, dim): """Load from an NCStream object.""" self.unlimited = dim.isUnlimited self.private = dim.isPrivate self.vlen = dim.isVlen if not self.vlen: self.size = dim.length
[ "def", "load_from_stream", "(", "self", ",", "dim", ")", ":", "self", ".", "unlimited", "=", "dim", ".", "isUnlimited", "self", ".", "private", "=", "dim", ".", "isPrivate", "self", ".", "vlen", "=", "dim", ".", "isVlen", "if", "not", "self", ".", "v...
Load from an NCStream object.
[ "Load", "from", "an", "NCStream", "object", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/dataset.py#L349-L355
Unidata/siphon
siphon/cdmr/coveragedataset.py
CoverageDataset._read_header
def _read_header(self): """Get the needed header information to initialize dataset.""" self._header = self.cdmrf.fetch_header() self.load_from_stream(self._header)
python
def _read_header(self): """Get the needed header information to initialize dataset.""" self._header = self.cdmrf.fetch_header() self.load_from_stream(self._header)
[ "def", "_read_header", "(", "self", ")", ":", "self", ".", "_header", "=", "self", ".", "cdmrf", ".", "fetch_header", "(", ")", "self", ".", "load_from_stream", "(", "self", ".", "_header", ")" ]
Get the needed header information to initialize dataset.
[ "Get", "the", "needed", "header", "information", "to", "initialize", "dataset", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/coveragedataset.py#L45-L48
Unidata/siphon
siphon/cdmr/coveragedataset.py
CoverageDataset.load_from_stream
def load_from_stream(self, header): """Populate the CoverageDataset from the protobuf information.""" self._unpack_attrs(header.atts) self.name = header.name self.lon_lat_domain = header.latlonRect self.proj_domain = header.projRect self.date_range = header.dateRange ...
python
def load_from_stream(self, header): """Populate the CoverageDataset from the protobuf information.""" self._unpack_attrs(header.atts) self.name = header.name self.lon_lat_domain = header.latlonRect self.proj_domain = header.projRect self.date_range = header.dateRange ...
[ "def", "load_from_stream", "(", "self", ",", "header", ")", ":", "self", ".", "_unpack_attrs", "(", "header", ".", "atts", ")", "self", ".", "name", "=", "header", ".", "name", "self", ".", "lon_lat_domain", "=", "header", ".", "latlonRect", "self", ".",...
Populate the CoverageDataset from the protobuf information.
[ "Populate", "the", "CoverageDataset", "from", "the", "protobuf", "information", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/cdmr/coveragedataset.py#L50-L69
Unidata/siphon
siphon/simplewebservice/iastate.py
IAStateUpperAir.request_data
def request_data(cls, time, site_id, **kwargs): """Retrieve upper air observations from Iowa State's archive for a single station. Parameters ---------- time : datetime The date and time of the desired observation. site_id : str The three letter ICAO ide...
python
def request_data(cls, time, site_id, **kwargs): """Retrieve upper air observations from Iowa State's archive for a single station. Parameters ---------- time : datetime The date and time of the desired observation. site_id : str The three letter ICAO ide...
[ "def", "request_data", "(", "cls", ",", "time", ",", "site_id", ",", "*", "*", "kwargs", ")", ":", "endpoint", "=", "cls", "(", ")", "df", "=", "endpoint", ".", "_get_data", "(", "time", ",", "site_id", ",", "None", ",", "*", "*", "kwargs", ")", ...
Retrieve upper air observations from Iowa State's archive for a single station. Parameters ---------- time : datetime The date and time of the desired observation. site_id : str The three letter ICAO identifier of the station for which data should be ...
[ "Retrieve", "upper", "air", "observations", "from", "Iowa", "State", "s", "archive", "for", "a", "single", "station", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/iastate.py#L28-L50
Unidata/siphon
siphon/simplewebservice/iastate.py
IAStateUpperAir.request_all_data
def request_all_data(cls, time, pressure=None, **kwargs): """Retrieve upper air observations from Iowa State's archive for all stations. Parameters ---------- time : datetime The date and time of the desired observation. pressure : float, optional The ma...
python
def request_all_data(cls, time, pressure=None, **kwargs): """Retrieve upper air observations from Iowa State's archive for all stations. Parameters ---------- time : datetime The date and time of the desired observation. pressure : float, optional The ma...
[ "def", "request_all_data", "(", "cls", ",", "time", ",", "pressure", "=", "None", ",", "*", "*", "kwargs", ")", ":", "endpoint", "=", "cls", "(", ")", "df", "=", "endpoint", ".", "_get_data", "(", "time", ",", "None", ",", "pressure", ",", "*", "*"...
Retrieve upper air observations from Iowa State's archive for all stations. Parameters ---------- time : datetime The date and time of the desired observation. pressure : float, optional The mandatory pressure level at which to request data (in hPa). If none is ...
[ "Retrieve", "upper", "air", "observations", "from", "Iowa", "State", "s", "archive", "for", "all", "stations", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/iastate.py#L53-L75
Unidata/siphon
siphon/simplewebservice/iastate.py
IAStateUpperAir._get_data
def _get_data(self, time, site_id, pressure=None): """Download data from Iowa State's upper air archive. Parameters ---------- time : datetime Date and time for which data should be downloaded site_id : str Site id for which data should be downloaded ...
python
def _get_data(self, time, site_id, pressure=None): """Download data from Iowa State's upper air archive. Parameters ---------- time : datetime Date and time for which data should be downloaded site_id : str Site id for which data should be downloaded ...
[ "def", "_get_data", "(", "self", ",", "time", ",", "site_id", ",", "pressure", "=", "None", ")", ":", "json_data", "=", "self", ".", "_get_data_raw", "(", "time", ",", "site_id", ",", "pressure", ")", "data", "=", "{", "}", "for", "profile", "in", "j...
Download data from Iowa State's upper air archive. Parameters ---------- time : datetime Date and time for which data should be downloaded site_id : str Site id for which data should be downloaded pressure : float, optional Mandatory pressure ...
[ "Download", "data", "from", "Iowa", "State", "s", "upper", "air", "archive", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/iastate.py#L77-L139
Unidata/siphon
siphon/simplewebservice/iastate.py
IAStateUpperAir._get_data_raw
def _get_data_raw(self, time, site_id, pressure=None): r"""Download data from the Iowa State's upper air archive. Parameters ---------- time : datetime Date and time for which data should be downloaded site_id : str Site id for which data should be downlo...
python
def _get_data_raw(self, time, site_id, pressure=None): r"""Download data from the Iowa State's upper air archive. Parameters ---------- time : datetime Date and time for which data should be downloaded site_id : str Site id for which data should be downlo...
[ "def", "_get_data_raw", "(", "self", ",", "time", ",", "site_id", ",", "pressure", "=", "None", ")", ":", "query", "=", "{", "'ts'", ":", "time", ".", "strftime", "(", "'%Y%m%d%H00'", ")", "}", "if", "site_id", "is", "not", "None", ":", "query", "[",...
r"""Download data from the Iowa State's upper air archive. Parameters ---------- time : datetime Date and time for which data should be downloaded site_id : str Site id for which data should be downloaded pressure : float, optional Mandatory p...
[ "r", "Download", "data", "from", "the", "Iowa", "State", "s", "upper", "air", "archive", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/iastate.py#L141-L178
Unidata/siphon
siphon/radarserver.py
parse_station_table
def parse_station_table(root): """Parse station list XML file.""" stations = [parse_xml_station(elem) for elem in root.findall('station')] return {st.id: st for st in stations}
python
def parse_station_table(root): """Parse station list XML file.""" stations = [parse_xml_station(elem) for elem in root.findall('station')] return {st.id: st for st in stations}
[ "def", "parse_station_table", "(", "root", ")", ":", "stations", "=", "[", "parse_xml_station", "(", "elem", ")", "for", "elem", "in", "root", ".", "findall", "(", "'station'", ")", "]", "return", "{", "st", ".", "id", ":", "st", "for", "st", "in", "...
Parse station list XML file.
[ "Parse", "station", "list", "XML", "file", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/radarserver.py#L217-L220
Unidata/siphon
siphon/radarserver.py
parse_xml_station
def parse_xml_station(elem): """Create a :class:`Station` instance from an XML tag.""" stid = elem.attrib['id'] name = elem.find('name').text lat = float(elem.find('latitude').text) lon = float(elem.find('longitude').text) elev = float(elem.find('elevation').text) return Station(id=stid, ele...
python
def parse_xml_station(elem): """Create a :class:`Station` instance from an XML tag.""" stid = elem.attrib['id'] name = elem.find('name').text lat = float(elem.find('latitude').text) lon = float(elem.find('longitude').text) elev = float(elem.find('elevation').text) return Station(id=stid, ele...
[ "def", "parse_xml_station", "(", "elem", ")", ":", "stid", "=", "elem", ".", "attrib", "[", "'id'", "]", "name", "=", "elem", ".", "find", "(", "'name'", ")", ".", "text", "lat", "=", "float", "(", "elem", ".", "find", "(", "'latitude'", ")", ".", ...
Create a :class:`Station` instance from an XML tag.
[ "Create", "a", ":", "class", ":", "Station", "instance", "from", "an", "XML", "tag", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/radarserver.py#L223-L230
Unidata/siphon
siphon/radarserver.py
RadarQuery.stations
def stations(self, *stns): """Specify one or more stations for the query. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on one line. This replaces any existing spatial queries that have been set. Parameters ------...
python
def stations(self, *stns): """Specify one or more stations for the query. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on one line. This replaces any existing spatial queries that have been set. Parameters ------...
[ "def", "stations", "(", "self", ",", "*", "stns", ")", ":", "self", ".", "_set_query", "(", "self", ".", "spatial_query", ",", "stn", "=", "stns", ")", "return", "self" ]
Specify one or more stations for the query. This modifies the query in-place, but returns `self` so that multiple queries can be chained together on one line. This replaces any existing spatial queries that have been set. Parameters ---------- stns : one or more string...
[ "Specify", "one", "or", "more", "stations", "for", "the", "query", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/radarserver.py#L23-L43
Unidata/siphon
siphon/radarserver.py
RadarServer.validate_query
def validate_query(self, query): """Validate a query. Determines whether `query` is well-formed. This includes checking for all required parameters, as well as checking parameters for valid values. Parameters ---------- query : RadarQuery The query to valida...
python
def validate_query(self, query): """Validate a query. Determines whether `query` is well-formed. This includes checking for all required parameters, as well as checking parameters for valid values. Parameters ---------- query : RadarQuery The query to valida...
[ "def", "validate_query", "(", "self", ",", "query", ")", ":", "valid", "=", "True", "# Make sure all stations are in the table", "if", "'stn'", "in", "query", ".", "spatial_query", ":", "valid", "=", "valid", "and", "all", "(", "stid", "in", "self", ".", "st...
Validate a query. Determines whether `query` is well-formed. This includes checking for all required parameters, as well as checking parameters for valid values. Parameters ---------- query : RadarQuery The query to validate Returns ------- ...
[ "Validate", "a", "query", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/radarserver.py#L101-L127
Unidata/siphon
siphon/radarserver.py
RadarServer.get_catalog
def get_catalog(self, query): """Fetch a parsed THREDDS catalog from the radar server. Requests a catalog of radar data files data from the radar server given the parameters in `query` and returns a :class:`~siphon.catalog.TDSCatalog` instance. Parameters ---------- que...
python
def get_catalog(self, query): """Fetch a parsed THREDDS catalog from the radar server. Requests a catalog of radar data files data from the radar server given the parameters in `query` and returns a :class:`~siphon.catalog.TDSCatalog` instance. Parameters ---------- que...
[ "def", "get_catalog", "(", "self", ",", "query", ")", ":", "# TODO: Refactor TDSCatalog so we don't need two requests, or to do URL munging", "try", ":", "url", "=", "self", ".", "_base", "[", ":", "-", "1", "]", "if", "self", ".", "_base", "[", "-", "1", "]",...
Fetch a parsed THREDDS catalog from the radar server. Requests a catalog of radar data files data from the radar server given the parameters in `query` and returns a :class:`~siphon.catalog.TDSCatalog` instance. Parameters ---------- query : RadarQuery The parameter...
[ "Fetch", "a", "parsed", "THREDDS", "catalog", "from", "the", "radar", "server", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/radarserver.py#L129-L161
Unidata/siphon
siphon/simplewebservice/acis.py
acis_request
def acis_request(method, params): """Request data from the ACIS Web Services API. Makes a request from the ACIS Web Services API for data based on a given method (StnMeta,StnData,MultiStnData,GridData,General) and parameters string. Information about the parameters can be obtained at: http://www.rc...
python
def acis_request(method, params): """Request data from the ACIS Web Services API. Makes a request from the ACIS Web Services API for data based on a given method (StnMeta,StnData,MultiStnData,GridData,General) and parameters string. Information about the parameters can be obtained at: http://www.rc...
[ "def", "acis_request", "(", "method", ",", "params", ")", ":", "base_url", "=", "'http://data.rcc-acis.org/'", "# ACIS Web API URL", "timeout", "=", "300", "if", "method", "==", "'MultiStnData'", "else", "60", "try", ":", "response", "=", "session_manager", ".", ...
Request data from the ACIS Web Services API. Makes a request from the ACIS Web Services API for data based on a given method (StnMeta,StnData,MultiStnData,GridData,General) and parameters string. Information about the parameters can be obtained at: http://www.rcc-acis.org/docs_webservices.html If ...
[ "Request", "data", "from", "the", "ACIS", "Web", "Services", "API", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/simplewebservice/acis.py#L11-L63
Unidata/siphon
siphon/ncss.py
parse_xml
def parse_xml(data, handle_units): """Parse XML data returned by NCSS.""" root = ET.fromstring(data) return squish(parse_xml_dataset(root, handle_units))
python
def parse_xml(data, handle_units): """Parse XML data returned by NCSS.""" root = ET.fromstring(data) return squish(parse_xml_dataset(root, handle_units))
[ "def", "parse_xml", "(", "data", ",", "handle_units", ")", ":", "root", "=", "ET", ".", "fromstring", "(", "data", ")", "return", "squish", "(", "parse_xml_dataset", "(", "root", ",", "handle_units", ")", ")" ]
Parse XML data returned by NCSS.
[ "Parse", "XML", "data", "returned", "by", "NCSS", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/ncss.py#L315-L318
Unidata/siphon
siphon/ncss.py
parse_xml_point
def parse_xml_point(elem): """Parse an XML point tag.""" point = {} units = {} for data in elem.findall('data'): name = data.get('name') unit = data.get('units') point[name] = float(data.text) if name != 'date' else parse_iso_date(data.text) if unit: units[nam...
python
def parse_xml_point(elem): """Parse an XML point tag.""" point = {} units = {} for data in elem.findall('data'): name = data.get('name') unit = data.get('units') point[name] = float(data.text) if name != 'date' else parse_iso_date(data.text) if unit: units[nam...
[ "def", "parse_xml_point", "(", "elem", ")", ":", "point", "=", "{", "}", "units", "=", "{", "}", "for", "data", "in", "elem", ".", "findall", "(", "'data'", ")", ":", "name", "=", "data", ".", "get", "(", "'name'", ")", "unit", "=", "data", ".", ...
Parse an XML point tag.
[ "Parse", "an", "XML", "point", "tag", "." ]
train
https://github.com/Unidata/siphon/blob/53fb0d84fbce1c18c8e81c9e68bc81620ee0a6ac/siphon/ncss.py#L321-L331