title stringlengths 10 172 | question_id int64 469 40.1M | question_body stringlengths 22 48.2k | question_score int64 -44 5.52k | question_date stringlengths 20 20 | answer_id int64 497 40.1M | answer_body stringlengths 18 33.9k | answer_score int64 -38 8.38k | answer_date stringlengths 20 20 | tags list |
|---|---|---|---|---|---|---|---|---|---|
Python Flask wt forms ventilator check if password is matching database | 39,506,137 | <p>I am trying to create a from where before updating records the user must type in their password for validation.</p>
<p>I was thinking of useing something like this.</p>
<pre><code>class AccountSettingsForm(Form):
password_proof= TextField("Password:",[validators.EqualTo(current_user.password, message='Pass... | -1 | 2016-09-15T08:13:51Z | 39,506,421 | <p>You need to create a validator method with the syntax <code>validate_{field_name}</code>. Also, as you are using other data (the user instance, which contains their password), you need to initialize the form with that user instance.</p>
<p>Something like this should work for your example:</p>
<pre><code>from wtfor... | 1 | 2016-09-15T08:29:51Z | [
"python",
"flask",
"flask-sqlalchemy",
"flask-wtforms",
"flask-security"
] |
pandas drop_duplicates using comparison function | 39,506,438 | <p>Is it somehow possible to use <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop_duplicates.html" rel="nofollow">pandas.drop_duplicates</a> with a comparison operator which compares two objects in a particular column in order to identify duplicates? If not, what is the alternative?<... | 3 | 2016-09-15T08:31:04Z | 39,506,753 | <p><strong><em>Option 1</em></strong></p>
<pre><code>df[~pd.DataFrame(df.A.values.tolist()).duplicated()]
</code></pre>
<p><a href="http://i.stack.imgur.com/pQ4BD.png" rel="nofollow"><img src="http://i.stack.imgur.com/pQ4BD.png" alt="enter image description here"></a></p>
<p><strong><em>Option 2</em></strong></p>
<... | 3 | 2016-09-15T08:49:26Z | [
"python",
"pandas"
] |
pandas drop_duplicates using comparison function | 39,506,438 | <p>Is it somehow possible to use <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop_duplicates.html" rel="nofollow">pandas.drop_duplicates</a> with a comparison operator which compares two objects in a particular column in order to identify duplicates? If not, what is the alternative?<... | 3 | 2016-09-15T08:31:04Z | 39,506,999 | <p>IIUC, your question is how to use an <em>arbitrary</em> function to determine what is a duplicate. To emphasize this, let's say that two lists are duplicates if the sum of the first item, plus the square of the second item, is the same in each case</p>
<pre><code>In [59]: In [118]: df = pd.DataFrame( {'A': [[1,2],[... | 3 | 2016-09-15T09:01:47Z | [
"python",
"pandas"
] |
pandas drop_duplicates using comparison function | 39,506,438 | <p>Is it somehow possible to use <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop_duplicates.html" rel="nofollow">pandas.drop_duplicates</a> with a comparison operator which compares two objects in a particular column in order to identify duplicates? If not, what is the alternative?<... | 3 | 2016-09-15T08:31:04Z | 39,507,103 | <p><code>Lists</code> are unhashable in nature. Try converting them to hashable types such as <code>tuples</code> and then you can continue to use <code>drop_duplicates</code>:</p>
<pre><code>df['A'] = df['A'].map(tuple)
df.drop_duplicates('A').applymap(list)
</code></pre>
<p><a href="http://i.stack.imgur.com/Ge4NF.p... | 3 | 2016-09-15T09:06:42Z | [
"python",
"pandas"
] |
How to test function, that has two or more input()'s inside? | 39,506,572 | <p>I need to test some python 3 code, and I got stuck testing function with few input()'s.</p>
<p>Example:</p>
<pre><code>def two_answers():
if input("Input 'go' to proceed") != "go":
return two_answers()
else:
while input("Input 'bananas' to proceed") != "bananas":
print("What?!")... | 2 | 2016-09-15T08:39:18Z | 39,507,214 | <p>What you want is to simulate the user inputs.</p>
<p>You have to use a <a href="https://docs.python.org/3/library/unittest.mock.html" rel="nofollow"><strong>unittest.mock</strong></a> and patch the <code>input</code> function.</p>
<p>See the <a href="https://docs.python.org/3/library/unittest.mock.html#quick-guide... | 0 | 2016-09-15T09:13:08Z | [
"python",
"unit-testing",
"python-3.x",
"python-unittest"
] |
How to test function, that has two or more input()'s inside? | 39,506,572 | <p>I need to test some python 3 code, and I got stuck testing function with few input()'s.</p>
<p>Example:</p>
<pre><code>def two_answers():
if input("Input 'go' to proceed") != "go":
return two_answers()
else:
while input("Input 'bananas' to proceed") != "bananas":
print("What?!")... | 2 | 2016-09-15T08:39:18Z | 39,507,282 | <p>Here is my solution:</p>
<pre><code>class SimulatedInput:
def __init__(self,*args):
self.args = iter(args)
def __call__(self,x):
try:
return next(self.args)
except StopIteration:
raise Exception("No more input")
</code></pre>
<p>Then you could use it like ... | 0 | 2016-09-15T09:16:53Z | [
"python",
"unit-testing",
"python-3.x",
"python-unittest"
] |
How to test function, that has two or more input()'s inside? | 39,506,572 | <p>I need to test some python 3 code, and I got stuck testing function with few input()'s.</p>
<p>Example:</p>
<pre><code>def two_answers():
if input("Input 'go' to proceed") != "go":
return two_answers()
else:
while input("Input 'bananas' to proceed") != "bananas":
print("What?!")... | 2 | 2016-09-15T08:39:18Z | 39,507,428 | <p>A minimalistic example with no dependencies. Play with it to extend it as you wish:</p>
<pre><code>import sys
import io
def two_answers():
if input("Input 'go' to proceed") != "go":
return two_answers()
else:
while input("Input 'bananas' to proceed") != "bananas":
print("What?!"... | -1 | 2016-09-15T09:23:15Z | [
"python",
"unit-testing",
"python-3.x",
"python-unittest"
] |
How to test function, that has two or more input()'s inside? | 39,506,572 | <p>I need to test some python 3 code, and I got stuck testing function with few input()'s.</p>
<p>Example:</p>
<pre><code>def two_answers():
if input("Input 'go' to proceed") != "go":
return two_answers()
else:
while input("Input 'bananas' to proceed") != "bananas":
print("What?!")... | 2 | 2016-09-15T08:39:18Z | 39,537,628 | <p>I would wrap the input in to a function.</p>
<pre><code>def input_wrap(prompt):
return input(prompt)
</code></pre>
<p>Then you can inject it.</p>
<pre><code>def two_answers(input_func):
if input_func('...') != 'go':
return two_answers(input_func)
...
</code></pre>
<p>Now when you want to test it you ca... | 0 | 2016-09-16T18:05:11Z | [
"python",
"unit-testing",
"python-3.x",
"python-unittest"
] |
How to get match result by given range using regular expression? | 39,506,578 | <p>I'm stucking with my code to get all return match by given range. My data sample is:</p>
<pre><code> comment
0 [intj74, you're, whipping, people, is, a, grea...
1 [home, near, kcil2, meniaga, who, intj47, a, l...
2 [thematic, budget, kasi, smooth, sweep]
3 [budget, 2, intj69, most, pe... | 1 | 2016-09-15T08:39:36Z | 39,506,752 | <p>you could replace <code>[t for t in x if t=='intj74']</code> with, e.g.,</p>
<pre><code>[t for t in x if re.match('intj[0-9]+$', t)]
</code></pre>
<p>or even</p>
<pre><code>[t for t in x if re.match('intj[0-9]+$', t)] or [np.nan]
</code></pre>
<p>which would also handle the case if there are no matches (so that ... | 1 | 2016-09-15T08:49:26Z | [
"python",
"pandas"
] |
How to get match result by given range using regular expression? | 39,506,578 | <p>I'm stucking with my code to get all return match by given range. My data sample is:</p>
<pre><code> comment
0 [intj74, you're, whipping, people, is, a, grea...
1 [home, near, kcil2, meniaga, who, intj47, a, l...
2 [thematic, budget, kasi, smooth, sweep]
3 [budget, 2, intj69, most, pe... | 1 | 2016-09-15T08:39:36Z | 39,506,867 | <p>I am new to <code>pandas</code> as well. You might have initialized your DataFrame differently. Anyway, this is what I have:</p>
<pre><code>import pandas as pd
data = {
'comment': [
"intj74, you're, whipping, people, is, a",
"home, near, kcil2, meniaga, who, intj47, a",
"thematic, budge... | 0 | 2016-09-15T08:55:00Z | [
"python",
"pandas"
] |
Django 1.10 full text search by UUIDField returns DataError | 39,506,717 | <p>I have the following model:</p>
<pre><code>class Show(models.Model):
cid = models.UUIDField(
default=uuid.uuid4,
editable=False,
verbose_name="Content ID",
help_text="Unique Identifier"
)
title_short = models.CharField(
max_length=60,
blank=True,
v... | 0 | 2016-09-15T08:47:29Z | 39,507,224 | <p>You may want to file a bug-report.</p>
<p>The Django code creates a COALESCE() statement, assuming that the final fallback value of an empty string (<code>''</code>) is acceptable for fields given.
I don't see a way to specify the fallback value through the official API, and since UUID fields are translated to Post... | 0 | 2016-09-15T09:13:30Z | [
"python",
"django",
"postgresql",
"full-text-search",
"uuid"
] |
See stacktrace of hanging Python in futex(..., FUTEX_WAIT_BITSET_PRIVATE|...) | 39,506,737 | <p>A Python process hangs in futex():</p>
<pre><code>root@pc:~# strace -p 9042
strace: Process 9042 attached
futex(0x1e61900, FUTEX_WAIT_BITSET_PRIVATE|FUTEX_CLOCK_REALTIME, 0, NULL, ffffffff
</code></pre>
<p>I want to see the stacktrace if the hanging process.</p>
<p>Unfortunately ctrl-c does not work :-(</p>
<p>H... | 3 | 2016-09-15T08:48:22Z | 39,507,648 | <ol>
<li>install the gdb python extensions if needed for your system (see <a href="https://wiki.python.org/moin/DebuggingWithGdb" rel="nofollow">here</a> for example, or look at your distro documentation)</li>
<li>attach gdb to your hung process</li>
<li><p>run</p>
<pre><code>(gdb) py-bt
</code></pre>
<p>instead of r... | 3 | 2016-09-15T09:32:45Z | [
"python",
"debugging",
"hang",
"futex"
] |
PyQt display 1 widget in 2 layouts? | 39,506,856 | <p>I'd like to add QLineEdit/checkbox/button in 2 layouts. So no matter which one I press in which ever window they both do the same thing, update each other as I type and so on.</p>
<p>Is it possible or do I need to create second set of controls and then signal link each other?</p>
<p>Regards
Dariusz</p>
| 1 | 2016-09-15T08:54:37Z | 39,506,951 | <p>A widget can only exist in one place at a time. You will need to link the two unfortunately. Do yourself a favor and do it properly via a model.</p>
<p>If it were possible for a widget to exist in multiple places, this would lead to a whole lot of problems: cyclic trees, multiple parents, etc.</p>
| 1 | 2016-09-15T08:59:14Z | [
"python",
"pyqt",
"pyqt4"
] |
Random sampling without replacement when more needs to be sampled than there are samples | 39,507,118 | <p>I need to generate samples from a list of numbers in a scenario where I might have the situation that I need to sample more numbers than I have. More explicitly, this is what I need to do: </p>
<ul>
<li><p>Let the total number of elements in my list be N.</p></li>
<li><p>I need to sample randomly without replacemen... | 2 | 2016-09-15T09:07:18Z | 39,507,484 | <p>I would just wrap numpy's <code>random.choice()</code> like so:</p>
<pre><code>L = [1, 2, 3, 4, 5]
def wrap_choice(list_to_sample, no_samples):
list_size = len(list_to_sample)
takes = no_samples // list_size
samples = list_to_sample * (no_samples // list_size) + list(np.random.choice(list_to_sample, no... | 2 | 2016-09-15T09:25:56Z | [
"python",
"numpy",
"sampling"
] |
Random sampling without replacement when more needs to be sampled than there are samples | 39,507,118 | <p>I need to generate samples from a list of numbers in a scenario where I might have the situation that I need to sample more numbers than I have. More explicitly, this is what I need to do: </p>
<ul>
<li><p>Let the total number of elements in my list be N.</p></li>
<li><p>I need to sample randomly without replacemen... | 2 | 2016-09-15T09:07:18Z | 39,507,620 | <p>You can <a href="http://docs.scipy.org/doc/numpy/reference/generated/numpy.concatenate.html" rel="nofollow"><code>concatenate</code></a> the results of <a href="http://docs.scipy.org/doc/numpy/reference/generated/numpy.repeat.html" rel="nofollow"><code>repeat</code></a> and <a href="http://docs.scipy.org/doc/numpy/r... | 3 | 2016-09-15T09:31:38Z | [
"python",
"numpy",
"sampling"
] |
Random sampling without replacement when more needs to be sampled than there are samples | 39,507,118 | <p>I need to generate samples from a list of numbers in a scenario where I might have the situation that I need to sample more numbers than I have. More explicitly, this is what I need to do: </p>
<ul>
<li><p>Let the total number of elements in my list be N.</p></li>
<li><p>I need to sample randomly without replacemen... | 2 | 2016-09-15T09:07:18Z | 39,507,782 | <p>Here is what might be a solution for the <strong>case where 0 < M-N < max(L)</strong> :</p>
<pre><code>import numpy as np
from numpy.random import random
l = np.array([1, 2, 3, 4, 5])
rand = [ i for i in l[np.argsort(np.amax(l))[:M-N]] ]
new_l = np.concatenate(l,rand)
</code></pre>
<p>Here is an example :<... | 1 | 2016-09-15T09:39:02Z | [
"python",
"numpy",
"sampling"
] |
Random sampling without replacement when more needs to be sampled than there are samples | 39,507,118 | <p>I need to generate samples from a list of numbers in a scenario where I might have the situation that I need to sample more numbers than I have. More explicitly, this is what I need to do: </p>
<ul>
<li><p>Let the total number of elements in my list be N.</p></li>
<li><p>I need to sample randomly without replacemen... | 2 | 2016-09-15T09:07:18Z | 39,507,924 | <p>Use <code>divmod()</code> to get the number of repetitions of the list and the remainder/shortfall. The shortfall can then be randomly selected from the list using <code>numpy.random.choice()</code>.</p>
<pre><code>import numpy as np
def get_sample(l, n):
samples, shortfall = divmod(n, len(l))
return np.co... | 1 | 2016-09-15T09:45:27Z | [
"python",
"numpy",
"sampling"
] |
Curses Programming with Python | 39,507,305 | <p>So I have start working with Curses in Python.
I have got this source code to start with and slowly I will make some updates to it:</p>
<pre><code> #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Testing out the curses lib.
"""
import curses
def main(scr):
"""
Draw a border around the screen, move... | 0 | 2016-09-15T09:17:35Z | 39,508,038 | <p>You know the valid range. From <code>0</code> to to <code>y1</code> inclusive. (0 to <code>x1</code> respectively). So just add tests to ensure the coordinates stay within the range:</p>
<pre><code> elif key == 'KEY_UP':
if y > 0:
y -= 1
elif key == 'KEY_DOWN':
if y < y1:
y ... | 1 | 2016-09-15T09:50:46Z | [
"python",
"python-3.x",
"curses"
] |
How to unpack variables from tuple and give them names from another tuple? | 39,507,350 | <p>I have two tuples - one with the keys and another one with a collection of variables of different types (list, float64, int and array) generate with the help of the following formula from a dictionary:</p>
<pre><code>keys, values = zip(*[(key, value) for (key, value) in data_dict.items()])
</code></pre>
<p>Now I w... | 0 | 2016-09-15T09:20:03Z | 39,508,015 | <p>If it's really not possible to store your key/value pairs in a <code>dict</code> and serialise them to data file in that format, you can use <a href="https://docs.python.org/3/library/functions.html#exec" rel="nofollow"><code>exec</code></a> to dynamically construct assignment statements</p>
<pre><code>>>>... | 1 | 2016-09-15T09:49:16Z | [
"python"
] |
How to unpack variables from tuple and give them names from another tuple? | 39,507,350 | <p>I have two tuples - one with the keys and another one with a collection of variables of different types (list, float64, int and array) generate with the help of the following formula from a dictionary:</p>
<pre><code>keys, values = zip(*[(key, value) for (key, value) in data_dict.items()])
</code></pre>
<p>Now I w... | 0 | 2016-09-15T09:20:03Z | 39,508,083 | <p>If you want to create variables in the global scope from your dictionary, perhaps you could update it like this:</p>
<pre><code>globals().update(data_dict)
</code></pre>
<p>without unpacking the dict.</p>
<p>I'm not sure if this is what you're looking for.</p>
| 0 | 2016-09-15T09:52:57Z | [
"python"
] |
The recursive implementation with python for a mathematical puzzle of hailstone sequence or Collatz conjecture? | 39,507,395 | <p>There is a mathematical puzzle:</p>
<ol>
<li>Pick a positive integer n as start. </li>
<li>If n is even, then divide it by 2.</li>
<li>If n is odd, multiply it by 3, and add 1. </li>
<li>continue this process until n is 1.</li>
</ol>
<p>I want to write a recursive function, that takes the n as parameter, and then ... | 0 | 2016-09-15T09:22:01Z | 39,507,961 | <p>You can use an accumulator:</p>
<pre><code>def hailstone(n):
"""
return a tuple that includes the hailstone sequence
starting at n, and the length of sequence.
1) Pick a positive integer n as start.
2) If n is even, then divide it by 2.
3) If n is odd, multiply it by 3, and add 1.
4) con... | 2 | 2016-09-15T09:46:57Z | [
"python",
"algorithm",
"recursion"
] |
The recursive implementation with python for a mathematical puzzle of hailstone sequence or Collatz conjecture? | 39,507,395 | <p>There is a mathematical puzzle:</p>
<ol>
<li>Pick a positive integer n as start. </li>
<li>If n is even, then divide it by 2.</li>
<li>If n is odd, multiply it by 3, and add 1. </li>
<li>continue this process until n is 1.</li>
</ol>
<p>I want to write a recursive function, that takes the n as parameter, and then ... | 0 | 2016-09-15T09:22:01Z | 39,509,530 | <p>First, you need to decide whether to use an iterative or recursive process - in Python it doesn't matter much (since Python doesn't employ tail call optimization), but in languages it could. For a more in-depth explanation of iterative/recursive process see <a href="http://stackoverflow.com/q/17254240/106471" title=... | 1 | 2016-09-15T11:06:14Z | [
"python",
"algorithm",
"recursion"
] |
How can I find one tag between two other tags? | 39,507,399 | <p>I have a document with structure like this:</p>
<pre><code><tag1>some_text_1</tag1>
<tag2>text_1</tag2>
<tag3>....</tag3>
<tag2>text_2</tag2>
<tag1>some_text_2</tag1>
<tag2>text_3</tag2>
...
</code></pre>
<p>And I need to get all <code>tag2</c... | 0 | 2016-09-15T09:22:19Z | 39,507,574 | <p>You should explain better what you need to find because is hard understand exactly what you want.</p>
<p>A good way to do it is using a regular expressions.</p>
<p><strong>Re Library Documentation:</strong>
<a href="https://docs.python.org/2/library/re.html" rel="nofollow">https://docs.python.org/2/library/re.... | -2 | 2016-09-15T09:29:49Z | [
"python",
"python-3.x",
"beautifulsoup"
] |
How can I find one tag between two other tags? | 39,507,399 | <p>I have a document with structure like this:</p>
<pre><code><tag1>some_text_1</tag1>
<tag2>text_1</tag2>
<tag3>....</tag3>
<tag2>text_2</tag2>
<tag1>some_text_2</tag1>
<tag2>text_3</tag2>
...
</code></pre>
<p>And I need to get all <code>tag2</c... | 0 | 2016-09-15T09:22:19Z | 39,508,232 | <pre><code>from bs4 import BeautifulSoup
html = '''<tag1>some_text_1</tag1>
<tag2>text_1</tag2>
<tag3>....</tag3>
<tag2>text_2</tag2>
<tag1>some_text_2</tag1>
<tag2>text_3</tag2>'''
soup = BeautifulSoup(html,"html.parser"... | 0 | 2016-09-15T10:00:29Z | [
"python",
"python-3.x",
"beautifulsoup"
] |
How can I find one tag between two other tags? | 39,507,399 | <p>I have a document with structure like this:</p>
<pre><code><tag1>some_text_1</tag1>
<tag2>text_1</tag2>
<tag3>....</tag3>
<tag2>text_2</tag2>
<tag1>some_text_2</tag1>
<tag2>text_3</tag2>
...
</code></pre>
<p>And I need to get all <code>tag2</c... | 0 | 2016-09-15T09:22:19Z | 39,510,675 | <p>Your description <em>I need to get all tag2 instances that are after tag1 with some_text_1 and before the next tag2.</em> basically equates to getting the first <code>tag2</code> after any tag1 with the text <code>some_text_</code>.</p>
<p>So find the <code>tag1's</code> with the certain text and check if the next... | 1 | 2016-09-15T12:08:48Z | [
"python",
"python-3.x",
"beautifulsoup"
] |
TensorFlow, Python, Sharing Variables, initialize at top | 39,507,405 | <p>I'm having an issue in TensorFlow with Sharing Variables with the Python API.</p>
<p>I've read the official documentation (<a href="https://www.tensorflow.org/versions/r0.10/how_tos/variable_scope/index.html" rel="nofollow">https://www.tensorflow.org/versions/r0.10/how_tos/variable_scope/index.html</a>), but I stil... | 0 | 2016-09-15T09:22:33Z | 39,513,649 | <p>It seems like the call to tf.variable_scope() finds the variable scope/w even if you run it in an empty session. I have cleaned up your code to demonstrate.</p>
<pre><code>import tensorflow as tf
import numpy as np
def shared_layer(x, output_size, non_linearity, name):
with tf.variable_scope(name):
in... | 0 | 2016-09-15T14:25:58Z | [
"python",
"tensorflow"
] |
Identify cells containing specific strings and overwrite content with numbers using Python | 39,507,417 | <p>I have a dataframe which looks like this:</p>
<p><a href="http://i.stack.imgur.com/qe7Y2.png" rel="nofollow"><img src="http://i.stack.imgur.com/qe7Y2.png" alt="enter image description here"></a></p>
<p>My goal is to identify for each cell of every column if the following strings are contained: <code>'KSS'</code>, ... | 0 | 2016-09-15T09:22:52Z | 39,507,870 | <p>If you create a dict with your lookup and replacement values then you can call <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.map.html#pandas.Series.map" rel="nofollow"><code>map</code></a> on this column, additionally you need to pass <code>na_action='ignore'</code> to <code>map</code>... | 3 | 2016-09-15T09:43:17Z | [
"python",
"pandas",
"replace",
"substitution"
] |
Fill missing values from another Pandas dataframe with different shape | 39,507,433 | <p>I have 2 tables of different sizes which I would like to merge in the following way in Python using Pandas:</p>
<pre><code>UID Property Date
1 A 10/02/2016
2 B NaN
3 A 10/02/2016
4 C NaN
5 C NaN
6 A 10/02/2016
</code></pre>
<p>Table 1 conta... | 0 | 2016-09-15T09:23:19Z | 39,507,621 | <p>First let's merge the two datasets: we don't overwrite the original date:</p>
<pre><code>df_merge = pandas.merge(T1, T2, on='Property')
</code></pre>
<p>then we replace the missing values copying them from the 'DateProxy' field:</p>
<pre><code>df_merge.Date = df_merge.apply(
lambda x: x['Date'] + ' (kept from... | 1 | 2016-09-15T09:31:39Z | [
"python",
"pandas",
"merge"
] |
YAML key consisting of a list of elements | 39,507,595 | <p>I need to have a list of elements as a key, so that I can check if several conditions are met.
Example (don't know if this is possible and if the syntax is correct):</p>
<pre><code>mapping:
c_id:
[pak, gb]: '4711'
[pak, ch]: '4712'
[pak]: '4713'
d_id:
.
.
.
</code></pre>
<p>Now I need ... | 0 | 2016-09-15T09:30:37Z | 39,507,713 | <p>The syntax for your YAML is correct. The only trick is that because in Python a key has to be immutable you need to specify access to the complex key as a tuple:</p>
<pre><code>import ruamel.yaml
yaml_str = """\
mapping:
c_id:
[pak, gb]: '4711'
[pak, ch]: '4712'
[pak]: '4713'
"""
data = ruamel.yaml.... | 2 | 2016-09-15T09:35:36Z | [
"python",
"yaml",
"pyyaml"
] |
YAML key consisting of a list of elements | 39,507,595 | <p>I need to have a list of elements as a key, so that I can check if several conditions are met.
Example (don't know if this is possible and if the syntax is correct):</p>
<pre><code>mapping:
c_id:
[pak, gb]: '4711'
[pak, ch]: '4712'
[pak]: '4713'
d_id:
.
.
.
</code></pre>
<p>Now I need ... | 0 | 2016-09-15T09:30:37Z | 39,510,765 | <p>In addition to Anthon's answer, here is how you can do it with PyYaml:</p>
<pre><code>mapping:
c_id:
!!python/tuple [pak, gb]: '4711'
!!python/tuple [pak, ch]: '4712'
!!python/tuple [pak]: '4713'
</code></pre>
<p>The trick is to tell PyYaml that you want to load the keys into a tuple (since a list ca... | 1 | 2016-09-15T12:13:33Z | [
"python",
"yaml",
"pyyaml"
] |
Python pandas nonzero cumsum | 39,507,774 | <p>I want to apply <code>cumsum</code> on dataframe in <code>pandas</code> in <code>python</code>, but withouth zeros. Simply I want to leave zeros and do <code>cumsum</code> on dataframe. Suppose I have dataframe like this:</p>
<pre><code>import pandas as pd
df = pd.DataFrame({'a' : [1,2,0,1],
... | 2 | 2016-09-15T09:38:41Z | 39,507,811 | <p>You can mask the df so that you only overwrite the non-zero cells:</p>
<pre><code>In [173]:
df[df!=0] = df.cumsum()
df
Out[173]:
a b c
0 1 2 0
1 3 7 1
2 0 0 3
3 4 0 8
</code></pre>
| 5 | 2016-09-15T09:40:19Z | [
"python",
"pandas"
] |
OR-tools routing fails to find 'trivial' optimal solution in the presence of order-constraints | 39,507,824 | <p>In order to better understand the constraint-programming behind or-tools routing, I created a toy example of a depot and 4 other nodes configured to allow for two routes.</p>
<p><a href="http://i.stack.imgur.com/SiZj1.jpg" rel="nofollow"><img src="http://i.stack.imgur.com/SiZj1.jpg" alt="enter image description her... | 0 | 2016-09-15T09:41:01Z | 39,718,730 | <p><strong>@furnon</strong> On github answered my question via the github-issues list: <a href="https://github.com/google/or-tools/issues/252#issuecomment-249646587" rel="nofollow">https://github.com/google/or-tools/issues/252#issuecomment-249646587</a></p>
<p>First, constraint programming performs better on tighter... | 0 | 2016-09-27T07:33:17Z | [
"python",
"or-tools"
] |
Make unittest.mock.Mock() return list of dicts | 39,507,864 | <p>I'm trying to mock a call of method <code>extra_get()</code> which usually returns a list of dicts. As far as I understand from the Mock <a href="https://docs.python.org/3/library/unittest.mock.html#unittest.mock.Mock" rel="nofollow">docs</a>, if I want to return iterable, I should set side_effect param.</p>
<pre><... | 0 | 2016-09-15T09:43:03Z | 39,537,404 | <pre><code>with mock.patch.object(client, 'extra_get', return_value=[{...}, {...}]) as mock_get:
# fill in the rest
</code></pre>
| 1 | 2016-09-16T17:47:41Z | [
"python",
"unit-testing",
"python-unittest"
] |
Calling functions | 39,507,903 | <p>this may sound proper nooby, but I'm having some trouble with python functions.</p>
<p>i do a level computer science and I'm making a currency converter using a dictionary to define the exchange rates of the currencies.</p>
<p>for each conversion, i have made a function that does all the calculations etc for the c... | -2 | 2016-09-15T09:44:28Z | 39,508,139 | <p><code>return</code> is used to return variables from a <a href="https://docs.python.org/3/tutorial/controlflow.html#defining-functions" rel="nofollow">function definition</a>. </p>
<p>To call a function you have simply to write the name of the function with the input parameters in the round brackets. In your case <... | 2 | 2016-09-15T09:55:51Z | [
"python",
"dictionary",
"python-3.5.2"
] |
Creating a list of lists and appending lists | 39,507,943 | <pre><code>a=[[2,3],[3,4]]
b=[[5,6],[7,8],[9,10]]
c=[[11,12],[13,14],[15,16],[17,18]]
c1=[[11,12],[13,14],[15,16],[17,18]]
listr=[]
for number in range(96):
listr.append(number)
list = [[]]*96
for e in a:
for f in b:
for g in c:
for h in d:
for i in listr:
... | -1 | 2016-09-15T09:46:17Z | 39,508,432 | <p>You may want to use <a href="https://docs.python.org/2/library/itertools.html#itertools.product" rel="nofollow"><code>itertools.product</code></a> to solve this.</p>
<p>Assuming you want combinations from <code>a</code>, <code>b</code>, <code>c</code> and <code>d</code> in groups of 4 (and based on your expected ou... | 2 | 2016-09-15T10:10:14Z | [
"python",
"list",
"append"
] |
pandas: rename axis in df | 39,508,001 | <p>I have a df which looks like this:</p>
<pre><code> Column 1
Channel
Apples 1.0
Oranges 2.0
Puppies 3.0
Ducks 4.0
</code></pre>
<p>I would like to rename the axis so it looks like this:</p>
<pre><code>Channel Column 1
Apples ... | 1 | 2016-09-15T09:48:49Z | 39,509,360 | <p>This is kind of a hack to get you what you eventually wanted it to look like.</p>
<pre><code>df = pd.read_csv(data, sep='\s{2,}', index_col='Channel', engine='python')
df
</code></pre>
<p><a href="http://i.stack.imgur.com/CLcCU.png" rel="nofollow"><img src="http://i.stack.imgur.com/CLcCU.png" alt="Image"></a></p>
... | 1 | 2016-09-15T10:57:55Z | [
"python",
"pandas",
"dataframe"
] |
Pandas: Set variable to value in cell, if another cell on same row contains string | 39,508,021 | <p>Let's say my Pandas <code>DataFrame</code> contains the following:</p>
<pre><code>Row Firstname Middlename Lastname
â¦
10 Roy G. Biv
11 Cnyder M. Uk
12 Pan T. One
â¦
</code></pre>
<p>If a cell in <code>["Lastname"]</code> contains <code>"Biv"</cod... | 1 | 2016-09-15T09:49:38Z | 39,508,189 | <p>If you want just the scalar value then you can access the first value in the result array and assign this:</p>
<pre><code>firstname = df.loc[df['Lastname'].str.contains('Biv'), 'Firstname'][0]
</code></pre>
<p>Note that really you should check if it's not empty though:</p>
<pre><code>if len(df.loc[df['Lastname'].... | 1 | 2016-09-15T09:57:56Z | [
"python",
"pandas"
] |
Use scrapy as an item generator | 39,508,095 | <p>I have an existing script (main.py) that requires data to be scraped.</p>
<p>I started a scrapy project for retrieving this data. Now, is there any way main.py can retrieve the data from scrapy as an Item generator, rather than persisting data using the Item pipeline?</p>
<p>Something like this would be really con... | 0 | 2016-09-15T09:53:20Z | 39,508,698 | <p>You could send json data out from the crawler and grab the results. It can be done as follows:</p>
<p>Having the spider:</p>
<pre><code>class MySpider(scrapy.Spider):
# some attributes
accomulated=[]
def parse(self, response):
# do your logic here
page_text = response.xpath('//text()')... | 0 | 2016-09-15T10:23:04Z | [
"python",
"scrapy",
"scrapy-pipeline"
] |
Use scrapy as an item generator | 39,508,095 | <p>I have an existing script (main.py) that requires data to be scraped.</p>
<p>I started a scrapy project for retrieving this data. Now, is there any way main.py can retrieve the data from scrapy as an Item generator, rather than persisting data using the Item pipeline?</p>
<p>Something like this would be really con... | 0 | 2016-09-15T09:53:20Z | 39,517,256 | <p>You can do it this way in a Twisted or Tornado app:</p>
<pre><code>import collections
from twisted.internet.defer import Deferred
from scrapy.crawler import Crawler
from scrapy import signals
def scrape_items(crawler_runner, crawler_or_spidercls, *args, **kwargs):
"""
Start a crawl and return an object (... | 0 | 2016-09-15T17:43:47Z | [
"python",
"scrapy",
"scrapy-pipeline"
] |
Python list from .txt file | 39,508,166 | <p>I`m trying to create primitive dictionary (or list) in Python with basic functions that I learned from book (Mark Summerfield).</p>
<p>Here is my question.</p>
<p>All works as I need, but I had a problem with writing strings to the file.</p>
<p>This is a piece of my code:</p>
<pre><code> word = input("New word ... | 3 | 2016-09-15T09:57:04Z | 39,508,466 | <p>The issue is created in this line:</p>
<pre><code>word = word[:x] + ",\n" # =adding shift to the end of str
</code></pre>
<p>You need to remember that variable <code>word</code> isn't contain your word any more. You have there for example "0. word" there.</p>
<p>So you have to update <code>x</code> - line count t... | 0 | 2016-09-15T10:11:50Z | [
"python"
] |
Python list from .txt file | 39,508,166 | <p>I`m trying to create primitive dictionary (or list) in Python with basic functions that I learned from book (Mark Summerfield).</p>
<p>Here is my question.</p>
<p>All works as I need, but I had a problem with writing strings to the file.</p>
<p>This is a piece of my code:</p>
<pre><code> word = input("New word ... | 3 | 2016-09-15T09:57:04Z | 39,508,470 | <p>The length of word has increased after inserting <code>numeration</code>, so <code>x</code> holds the value of the old length before the update. You should move the line where <code>x</code> is assigned after the update:</p>
<pre><code>numeration = str(count) + ". "
word = numeration + word[0:] # length of word ch... | 0 | 2016-09-15T10:12:02Z | [
"python"
] |
Python list from .txt file | 39,508,166 | <p>I`m trying to create primitive dictionary (or list) in Python with basic functions that I learned from book (Mark Summerfield).</p>
<p>Here is my question.</p>
<p>All works as I need, but I had a problem with writing strings to the file.</p>
<p>This is a piece of my code:</p>
<pre><code> word = input("New word ... | 3 | 2016-09-15T09:57:04Z | 39,508,476 | <p>Your problem is that you set <code>x</code> to be the length of the input word, but then add <code>numeration</code> to the string, making it several characters longer (three characters, in the case of a single-digit <code>count</code>). If you were to change</p>
<pre><code>word = word[:x] + ",\n" # =adding shift t... | 0 | 2016-09-15T10:12:27Z | [
"python"
] |
BeautifulSoup use unique CSS Selector | 39,508,252 | <p>From this <a href="https://www.placetel.de/status" rel="nofollow">page</a>, I need to get the status from "Anbindung an das Telefonnetz". </p>
<p>I identified 2 ways to get it: </p>
<ol>
<li>If the status contains the sentence "Das System arbeitet einwandfrei";</li>
<li>If the color of the background is green. </l... | 1 | 2016-09-15T10:01:07Z | 39,509,270 | <p>As far as I know <a href="http://stackoverflow.com/a/24720912/4241180">nth-of-child</a> is still not implemented in <code>BeautifulSoup4</code>. Also if you investigate the website's CSS (namely <code>_system.scss</code> file), you'll find out that there are 3 statuses:</p>
<ol>
<li><code>system-item-green</code> <... | 1 | 2016-09-15T10:53:04Z | [
"python",
"html",
"css",
"beautifulsoup"
] |
BeautifulSoup use unique CSS Selector | 39,508,252 | <p>From this <a href="https://www.placetel.de/status" rel="nofollow">page</a>, I need to get the status from "Anbindung an das Telefonnetz". </p>
<p>I identified 2 ways to get it: </p>
<ol>
<li>If the status contains the sentence "Das System arbeitet einwandfrei";</li>
<li>If the color of the background is green. </l... | 1 | 2016-09-15T10:01:07Z | 39,509,738 | <p>You can use the text to find the h6 for <code>Anbindung an das Telefonnetz</code> and get the p sibling:</p>
<pre><code>import requests
import re
r = requests.get("https://www.placetel.de/status").content
soup = BeautifulSoup(r, "lxml")
h6 = soup.find("h6", text=re.compile(ur"Anbindung an das Telefonnetz", re.I)... | 1 | 2016-09-15T11:16:56Z | [
"python",
"html",
"css",
"beautifulsoup"
] |
reading all the file content in directory | 39,508,469 | <p>I have directory <code>poem</code> which contains 50 files and I want to read them all.</p>
<pre><code>for file in os.listdir("/home/ubuntu/Desktop/temp/poem"):
print file
f = open(file, 'r')
print f.read()
f.close()
</code></pre>
<p>This code reads file name of all the files in directory.
But it ... | 0 | 2016-09-15T10:11:59Z | 39,508,529 | <p><code>os.listdir</code> only returns filenames, to get the full path you need to join that filename with the folder you're reading:</p>
<pre><code>folder = "/home/ubuntu/Desktop/temp/poem"
for file in os.listdir(folder):
print file
filepath = os.path.join(folder, file)
f = open(filepath, 'r')
print ... | 5 | 2016-09-15T10:14:45Z | [
"python",
"io"
] |
reading all the file content in directory | 39,508,469 | <p>I have directory <code>poem</code> which contains 50 files and I want to read them all.</p>
<pre><code>for file in os.listdir("/home/ubuntu/Desktop/temp/poem"):
print file
f = open(file, 'r')
print f.read()
f.close()
</code></pre>
<p>This code reads file name of all the files in directory.
But it ... | 0 | 2016-09-15T10:11:59Z | 39,508,643 | <p>you are searching file in current join file path with directory folder.</p>
<pre><code>import os
for i in os.listdir("/home/ubuntu/Desktop/temp/poem"):
if os.path.isfile(os.path.join("/home/ubuntu/Desktop/temp/poem",i)):
print os.path.join("/home/ubuntu/Desktop/temp/poem",i)
f=open(os.path.join... | 1 | 2016-09-15T10:20:22Z | [
"python",
"io"
] |
Repeating code 3 times, and making sure input is only a number in Python 2.7 | 39,508,667 | <p>I am trying to find out how to make my code repeat its self 3 times at the end of the set of questions and also I'm trying to make sure my validation is correct so that the input to the questions is only a number. </p>
<p><strong>This is my code...</strong></p>
<pre><code>import random
correct = 0
name = raw_inp... | 0 | 2016-09-15T10:21:22Z | 39,510,953 | <p>Your <code>answer != int</code> should be <code>if not isinstance(answer, int)</code>
Furthermore, you will get <code>ValueError</code> each time user tries to insert characters.</p>
<p>Because of this, you should edit your code to look like this:</p>
<pre><code>from __future__ import division
import random
for i... | 0 | 2016-09-15T12:23:51Z | [
"python",
"python-2.7"
] |
What's the equivalent of MatLab/Octave filt/bode in scipy? | 39,508,726 | <p>To create a digital system that could be used e.g. in bode or spectrum in matlab or octave I could use:</p>
<pre><code>b = [1,0.1,0.2,0.3]
a = [1,-1]
sys = filt(b,a)
bode(sys)
spectrum(sys)
</code></pre>
<p>What will be the scipy equivalent for this command(s)?</p>
| 1 | 2016-09-15T10:24:34Z | 39,529,035 | <p>There are a few options, you can use <a href="http://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.signal.bode.html" rel="nofollow"><code>scipy.signal.bode</code></a> or <a href="http://python-control.readthedocs.io/en/latest/generated/control.bode.html#control.bode" rel="nofollow"><code>python-control.b... | 0 | 2016-09-16T10:19:02Z | [
"python",
"matlab",
"scipy",
"signal-processing"
] |
Numpy efficient indexing with varied size arrays | 39,508,846 | <p>Take a look at this piece of code:</p>
<pre><code>import numpy as np
a = np.random.random(10)
indicies = [
np.array([1, 4, 3]),
np.array([2, 5, 8, 7, 3]),
np.array([1, 2]),
np.array([3, 2, 1])
]
result = np.zeros(2)
result[0] = a[indicies[0]].sum()
result[1] = a[indicies[2]].sum()
</code></pre>
... | 1 | 2016-09-15T10:31:01Z | 39,509,169 | <p>If your array <strong>a</strong> is very large you might have <strong>memory issues</strong> if your array of indices contains many arrays of many indices when looping through it.</p>
<p>To avoid this issue use an iterator instead of a list :</p>
<pre><code>indices = iter(indices)
</code></pre>
<p>and then loop t... | -1 | 2016-09-15T10:46:54Z | [
"python",
"arrays",
"numpy"
] |
Numpy efficient indexing with varied size arrays | 39,508,846 | <p>Take a look at this piece of code:</p>
<pre><code>import numpy as np
a = np.random.random(10)
indicies = [
np.array([1, 4, 3]),
np.array([2, 5, 8, 7, 3]),
np.array([1, 2]),
np.array([3, 2, 1])
]
result = np.zeros(2)
result[0] = a[indicies[0]].sum()
result[1] = a[indicies[2]].sum()
</code></pre>
... | 1 | 2016-09-15T10:31:01Z | 39,515,877 | <p>With your <code>a</code> and <code>indicies</code> list:</p>
<pre><code>In [280]: [a[i].sum() for i in indicies]
Out[280]:
[1.3986792680307709,
2.6354365193743732,
0.83324677494990895,
1.8195179021311731]
</code></pre>
<p>Which of course could wrapped in <code>np.array()</code>.</p>
<p>For a subset of the <co... | 0 | 2016-09-15T16:17:29Z | [
"python",
"arrays",
"numpy"
] |
Grouping dictionary items by attribute | 39,508,956 | <p>I am trying to group the items in a dictionary by a particular key, let's say we have the following dictionary:</p>
<pre><code>[{'type': 'animal', 'name': 'rabbit'}, {'type': 'animal', 'name': 'cow'}, {'type': 'plant', 'name': 'orange tree'}, {'type': 'animal', 'name': 'coyote'}]
</code></pre>
<p>And I wanted to g... | 0 | 2016-09-15T10:36:29Z | 39,508,993 | <p>use <code>defaultdict(list)</code>, not <code>defaultdict()</code>. Read the docs for defaultdict to find out more.</p>
<p>Also, you cannot use some_dict.a_key (in your case: .type) - you must use some_dict['a_key'] (in your case ['type'])</p>
| 2 | 2016-09-15T10:38:38Z | [
"python",
"dictionary"
] |
Grouping dictionary items by attribute | 39,508,956 | <p>I am trying to group the items in a dictionary by a particular key, let's say we have the following dictionary:</p>
<pre><code>[{'type': 'animal', 'name': 'rabbit'}, {'type': 'animal', 'name': 'cow'}, {'type': 'plant', 'name': 'orange tree'}, {'type': 'animal', 'name': 'coyote'}]
</code></pre>
<p>And I wanted to g... | 0 | 2016-09-15T10:36:29Z | 39,509,221 | <p>You can also use a normal dictionary and its <a href="https://docs.python.org/2/library/stdtypes.html#dict.setdefault" rel="nofollow"><code>setdefault</code></a> method:</p>
<pre><code>l = [{'type': 'animal', 'name': 'rabbit'}, {'type': 'animal', 'name': 'cow'}, {'type': 'plant', 'name': 'orange tree'}, {'type': 'a... | 0 | 2016-09-15T10:50:23Z | [
"python",
"dictionary"
] |
Grouping dictionary items by attribute | 39,508,956 | <p>I am trying to group the items in a dictionary by a particular key, let's say we have the following dictionary:</p>
<pre><code>[{'type': 'animal', 'name': 'rabbit'}, {'type': 'animal', 'name': 'cow'}, {'type': 'plant', 'name': 'orange tree'}, {'type': 'animal', 'name': 'coyote'}]
</code></pre>
<p>And I wanted to g... | 0 | 2016-09-15T10:36:29Z | 39,509,441 | <pre><code>from collections import defaultdict
animals=[{'type': 'animal', 'name': 'rabbit'}, {'type': 'animal', 'name': 'cow'},
{'type': 'plant', 'name': 'orange tree'}, {'type': 'animal', 'name': 'coyote'}]
animal_by_type = defaultdict(list)
for animal in animals:
animal_by_type[animal['type']].append(animal['... | 0 | 2016-09-15T11:02:15Z | [
"python",
"dictionary"
] |
SVM Scikit-Learn : Why prediction time decrease with SVC when increasing parameter C? | 39,509,080 | <p>Iâm trying to evaluate the influence of the # of features & parameter C (SVM regularization) on the prediction time. I am using a modified version of <a href="http://scikit-learn.org/stable/auto_examples/applications/plot_prediction_latency.html#example-applications-plot-prediction-latency-py" rel="nofollow">c... | 1 | 2016-09-15T10:42:54Z | 39,513,160 | <p>Having a larger C will lead to smaller values for the slack variables. This means that the number of support vectors will decrease. When you run the prediction, it will need to calculate the indicator function for each support vector. </p>
<p>Thus; smaller C -> more support vectors -> more calculations -> slower pr... | 0 | 2016-09-15T14:03:53Z | [
"python",
"machine-learning",
"scikit-learn",
"svm",
"latency"
] |
Nearest neighbour in pyspark using euclidean distance or similar | 39,509,095 | <p>So I need to find nearest neighbors of a given row in pyspark DF using euclidean distance or anything. the data that I have 20+ columns, more than thousand rows and all the values are numbers.</p>
<p>I am trying to oversample some data in pyspark, as mllib doesn't have inbuilt support for it, i decided to create it... | 0 | 2016-09-15T10:43:38Z | 39,530,374 | <p>Not tried but Ive found this script: <a href="https://github.com/jakac/spark-python-knn/blob/master/python/gaussalgo/knn/knn.py" rel="nofollow">https://github.com/jakac/spark-python-knn/blob/master/python/gaussalgo/knn/knn.py</a></p>
<p>If your data are dataframe, you should first merge your column into a vector wi... | 1 | 2016-09-16T11:28:16Z | [
"python",
"pyspark",
"nearest-neighbor",
"knn"
] |
Progress bar in tkinter not working | 39,509,185 | <p>I am writing a small app to copy some files. I have made almost everything that I wanted but 3 things:</p>
<p>1) Progress-bar to move while the copy option is in motion. I can display it but it won't react. </p>
<p>I am using this to show it:</p>
<pre><code>self.p = ttk.Progressbar(self, orient=HORIZONTAL, length... | 0 | 2016-09-15T10:48:05Z | 39,667,184 | <p>I compacted the loading bar I got working in an older project of mine. The only way I had figured it out was to call the progress bar handling calls in a new thread and call the work-intensive functions from this thread into another new thread. </p>
<p>It is bad practice to have a separate threads handling UI el... | 0 | 2016-09-23T18:17:08Z | [
"python",
"tkinter",
"progress-bar"
] |
Progress bar in tkinter not working | 39,509,185 | <p>I am writing a small app to copy some files. I have made almost everything that I wanted but 3 things:</p>
<p>1) Progress-bar to move while the copy option is in motion. I can display it but it won't react. </p>
<p>I am using this to show it:</p>
<pre><code>self.p = ttk.Progressbar(self, orient=HORIZONTAL, length... | 0 | 2016-09-15T10:48:05Z | 39,775,063 | <p>So I have used your code to make the improvements in mine and it works :) Unfortunately there is a "but". So the progress bar is nicely moving while files are being copied. What is still not perfect that after the button is pressed to execute the coping there is quite substantial delay time before the copying start.... | 0 | 2016-09-29T16:02:02Z | [
"python",
"tkinter",
"progress-bar"
] |
Full blocking generator in twisted thread that runs forever | 39,509,254 | <p>Let's assume we have a <em>blackbox</em> generator that is fully blocking and runs forever. We're running Twisted, so standard way to handle blocking things is use <code>defers</code> or <code>defers + threads</code>.</p>
<pre><code># some very naive example
from twisted.internet import reactor
def aSillyBlockingM... | 0 | 2016-09-15T10:52:07Z | 39,518,362 | <p>I took the answer provided from <a href="http://stackoverflow.com/a/2244899/2172464">this post</a> and added example code. Also keep in mind it's always best to have well defined start and end points for threads. As you can see, it can cause some pretty sticky situations if a thread runs forever in an uncontrolled f... | 0 | 2016-09-15T18:50:55Z | [
"python",
"multithreading",
"twisted"
] |
Django not creating database table after deleting migrations files and migration table | 39,509,392 | <p>I have created two tables profile and details through django model and mistakenly i have deleted both these tables.
Further when i tried to create table using</p>
<pre><code>python2.7 manage.py makemigrations
</code></pre>
<p>and </p>
<pre><code>python2.7 manage.py migrate
</code></pre>
<p>then it was not creat... | 0 | 2016-09-15T10:59:49Z | 39,509,767 | <p>Run following command:</p>
<pre><code>python manage.py migrate --fake-initial
</code></pre>
| 0 | 2016-09-15T11:18:02Z | [
"python",
"django"
] |
Django not creating database table after deleting migrations files and migration table | 39,509,392 | <p>I have created two tables profile and details through django model and mistakenly i have deleted both these tables.
Further when i tried to create table using</p>
<pre><code>python2.7 manage.py makemigrations
</code></pre>
<p>and </p>
<pre><code>python2.7 manage.py migrate
</code></pre>
<p>then it was not creat... | 0 | 2016-09-15T10:59:49Z | 39,509,790 | <p>You need to first fake migrations for each of those built-in apps</p>
<p><strong>python manage.py migrate --fake auth</strong><br>
<strong>python manage.py migrate --fake contenttypes</strong></p>
<p>the run fake initial</p>
<p><strong>python manage.py migrate --fake-initial</strong></p>
<p>This most probably sh... | 0 | 2016-09-15T11:19:22Z | [
"python",
"django"
] |
Reducing rows in a column for a panda DataFrame for plotting | 39,509,404 | <p>So I have a csv table of data which I have read into a panda DataFrame, however one of the columns has the same string in multiple rows, which is correct as its a classification data, but when I plot this column against another of values, it treats each cell in this column as separate rather than combining them.</p>... | 0 | 2016-09-15T11:00:28Z | 39,510,033 | <p>I presume you want a stacked bar plot, so starting with your dataframe looking like this </p>
<pre><code>Classification Value
0 MIR-weak 0.089657
1 MIR-weak 0.199028
2 MIR-bright 0.285053
3 MIR-bright 0.080708
4 FIR-dark/MIR-bright 1.761086
5 ... | 0 | 2016-09-15T11:32:53Z | [
"python",
"pandas",
"plot",
"dataframe"
] |
KD Tree gives different results to brute force method | 39,509,562 | <p>I have an array of 1000 random 3D points & I am interested in the closest 10 points to any given point. <a href="http://stackoverflow.com/questions/2486093/millions-of-3d-points-how-to-find-the-10-of-them-closest-to-a-given-point">In essence the same as this post.</a></p>
<p>I checked the 2 solutions offered by... | 0 | 2016-09-15T11:07:38Z | 39,512,661 | <p><code>KDTree</code> algorithm is computing the nearest points based on the square-root of the same distance used by <code>Brute-force</code> algorithm.</p>
<p>Basically KDtree uses: <code>sqrt(x^2+y^2+z^2)</code>
and Brute-force algorithm uses: <code>x^2+y^2+z^2</code></p>
| 1 | 2016-09-15T13:43:03Z | [
"python",
"numpy",
"scipy",
"kdtree"
] |
KD Tree gives different results to brute force method | 39,509,562 | <p>I have an array of 1000 random 3D points & I am interested in the closest 10 points to any given point. <a href="http://stackoverflow.com/questions/2486093/millions-of-3d-points-how-to-find-the-10-of-them-closest-to-a-given-point">In essence the same as this post.</a></p>
<p>I checked the 2 solutions offered by... | 0 | 2016-09-15T11:07:38Z | 39,513,237 | <p>distances = ((a-point)**2).sum(axis=1) **0.5<a href="http://i.stack.imgur.com/3idkJ.png" rel="nofollow"><img src="http://i.stack.imgur.com/3idkJ.png" alt="enter image description here"></a></p>
| 0 | 2016-09-15T14:07:04Z | [
"python",
"numpy",
"scipy",
"kdtree"
] |
python speech to text and voice level differences visualisation | 39,509,624 | <p>Hi am using pyttsx for converting text to speech and then vise versa making a sort of automatic call replying system.
Where one will ask questions and then python will convert it into text and reply with voice(Like SIRI in apple)
Now what i want is to have a tool which will show different values of bar when the syst... | 0 | 2016-09-15T11:11:26Z | 39,510,471 | <p>A tool to make that is the standard <a href="https://docs.python.org/2/library/turtle.html" rel="nofollow"><code>turtle</code> library</a> for output, the necessary calculations (how much the bar must go up) can be done without any library.</p>
| 0 | 2016-09-15T11:58:06Z | [
"python",
"text-to-speech"
] |
Python or LibreOffice Save xlsx file encrypted with password | 39,509,741 | <p>I am trying to save an Excel file <em>encrypted</em> with password. I have tried following the guide on <a href="https://help.libreoffice.org/Common/Protecting_Content_in" rel="nofollow">https://help.libreoffice.org/Common/Protecting_Content_in</a> - and works perfectly. However, this is in the GUI, but I am looking... | 1 | 2016-09-15T11:16:59Z | 39,898,408 | <p>There is solution using <a href="http://jython.org" rel="nofollow">Jython</a> and <a href="https://poi.apache.org/" rel="nofollow">Apache POI</a>. If you want like to use it from CPython/PyPy, you can use <a href="https://docs.python.org/3/library/subprocess.html" rel="nofollow">subprocess</a> module to call externa... | 1 | 2016-10-06T14:15:05Z | [
"python",
"excel",
"encryption",
"ubuntu-14.04",
"libreoffice-calc"
] |
Does python perform tasks on lists in parallel by itself? | 39,509,770 | <p>I stumbled upon this piece of work:</p>
<pre><code>def getChild(self, childName):
for child in self.children :
if(childName == child.data['name']):
return child
return None
</code></pre>
<p>As far as ranting is concerned this code implies everything there is to say and know about this l... | -2 | 2016-09-15T11:18:14Z | 39,510,146 | <p>No, there is no automatic parallelization. Python is about writing your code efficiently, but not about making it computationally efficient. And there is a bigger problem: the GIL - Global Interpreter Lock. That means that only one thread at a time is executed. So there is no big point in parallelization of CPU inte... | 2 | 2016-09-15T11:39:51Z | [
"python",
"list",
"dictionary",
"parallel-processing"
] |
Pandas: KeyError when attempting to print value from df.loc in Excel file | 39,509,803 | <p>I'm attempting to parse an Excel-file using Pandas.</p>
<pre><code>import pandas as pd
import xlrd
xl_file = pd.ExcelFile("file.xlsx")
df = xl_file.parse("Sheet1")
</code></pre>
<p>Now, if I get a value (<code>name</code>) from the sheet:</p>
<pre><code>if len(df.loc[df["Col A"].str.contains("John"), "Col B"]) ... | 2 | 2016-09-15T11:20:15Z | 39,510,639 | <p><code>name</code> is a series, and <code>0</code> is not in the series' index (check <code>name.index</code>). This explains the error message.</p>
<p>If you want to select the first element in the series, do:</p>
<pre><code>name.iloc[0]
</code></pre>
| 3 | 2016-09-15T12:06:35Z | [
"python",
"excel",
"python-2.7",
"pandas"
] |
Python unique values per column in csv file row | 39,509,824 | <p>Crunching on this for a long time. Is there an easy way using Numpy or Pandas or fixing my code to get the unique values for the column in a row separated by "|"</p>
<p>I.e the data:</p>
<pre><code>"id","fname","lname","education","gradyear","attributes"
"1","john","smith","mit|harvard|ft|ft|ft","2003|207|212|212|... | 0 | 2016-09-15T11:21:14Z | 39,510,014 | <p>If you don't care about the order when you have many items separated with <code>|</code>, this will work:</p>
<pre><code>lst = ["id","fname","lname","education","gradyear","attributes",
"1","john","smith","mit|harvard|ft|ft|ft","2003|207|212|212|212","qa|admin,co|master|NULL|NULL",
"2","john","doe","htw","2000","de... | 0 | 2016-09-15T11:31:30Z | [
"python",
"pandas",
"numpy"
] |
Python unique values per column in csv file row | 39,509,824 | <p>Crunching on this for a long time. Is there an easy way using Numpy or Pandas or fixing my code to get the unique values for the column in a row separated by "|"</p>
<p>I.e the data:</p>
<pre><code>"id","fname","lname","education","gradyear","attributes"
"1","john","smith","mit|harvard|ft|ft|ft","2003|207|212|212|... | 0 | 2016-09-15T11:21:14Z | 39,510,118 | <p><code>numpy</code>/<code>pandas</code> is a bit overkill for what you can achieve with <code>csv.DictReader</code> and <code>csv.DictWriter</code> with a <code>collections.OrderedDict</code>, eg:</p>
<pre><code>import csv
from collections import OrderedDict
# If using Python 2.x - use `open('output.csv', 'wb') ins... | 2 | 2016-09-15T11:38:31Z | [
"python",
"pandas",
"numpy"
] |
Python write multiline data in a column of a single row in csv | 39,509,837 | <p>I have a json response similar to as dt1 and i'm writing the json data into CSV with fieldnames NAME, Total and details , below is my code.</p>
<pre><code>dt1 = { u'Name': ABC,
u'total': 6 ,
u'Details':{
u'Subject1': {u'Opted': False, u'value': u'100'},
u'Subject2': {u'Opted... | 0 | 2016-09-15T11:22:01Z | 39,537,872 | <p>try something like this:</p>
<pre><code>import csv
dt1 = {
u'Name': 'ABC',
u'Total': 6 ,
u'Details':{
u'Subject1': {u'Opted': False, u'value': u'100'},
u'Subject2': {u'Opted': True, u'value': u'200'},
u'Subject3': {u'Opted': True, u'value': u'200'}
}
}
with open('fi... | 0 | 2016-09-16T18:22:56Z | [
"python",
"json",
"csv",
"dictionary"
] |
Can I save a list in Memcache in Google-AppEngine in Python? | 39,509,956 | <p>I want to save a list in MemCache in AppEngine with Python and I am having the next error : </p>
<p>TypeError: <strong>new</strong>() takes exactly 4 arguments (1 given).</p>
<p>This is the link of the image with the error :
<a href="http://i.stack.imgur.com/we3VU.png" rel="nofollow">http://i.stack.imgur.com/we3V... | 1 | 2016-09-15T11:28:26Z | 39,515,702 | <p>You are not storing a list. You are storing a query object. To store a list, use <code>.fetch()</code>:</p>
<pre><code>list_version = WikiPostVersion.query().filter(WikiPostVersion.r_post == postobj.key).fetch()
</code></pre>
<p>You can store a simple query object, but when you add <code>.order()</code> or <code... | 3 | 2016-09-15T16:07:52Z | [
"python",
"google-app-engine",
"memcached"
] |
How to set the "chunk size" of read lines from file read with Python subprocess.Popen() or open()? | 39,509,959 | <p>I have a fairly large text file which I would like to run in chunks. In order to do this with the <code>subprocess</code> library, one would execute following shell command:</p>
<pre><code>"cat hugefile.log"
</code></pre>
<p>with the code:</p>
<pre><code>import subprocess
task = subprocess.Popen("cat hugefile.log... | 0 | 2016-09-15T11:28:34Z | 39,510,102 | <p>Using a file, you can iterate on the file handle (no need for subprocess to open <code>cat</code>):</p>
<pre><code>with open('hugefile.log', 'r') as f:
for read_line in f:
print(read_line)
</code></pre>
<p>Python reads a line by reading all the chars up to <code>\n</code>. To simulate the line-by-line... | 1 | 2016-09-15T11:37:35Z | [
"python",
"bash",
"shell",
"subprocess",
"chunking"
] |
In Python subprocess, what is the difference between using Popen() and check_output()? | 39,510,029 | <p>Take the shell command "cat file.txt" as an example. </p>
<p>With Popen, this could be run with</p>
<pre><code>import subprocess
task = subprocess.Popen("cat file.txt", shell=True, stdout=subprocess.PIPE)
data = task.stdout.read()
</code></pre>
<p>With check_output, one could run</p>
<pre><code>import subproces... | 1 | 2016-09-15T11:32:29Z | 39,510,073 | <p>From <a href="https://docs.python.org/3/library/subprocess.html#exceptions" rel="nofollow">the documentation</a>:</p>
<blockquote>
<p><code>check_call()</code> and <code>check_output()</code> will raise <code>CalledProcessError</code> if the called process returns a non-zero return code.</p>
</blockquote>
| 1 | 2016-09-15T11:35:33Z | [
"python",
"bash",
"shell",
"subprocess"
] |
In Python subprocess, what is the difference between using Popen() and check_output()? | 39,510,029 | <p>Take the shell command "cat file.txt" as an example. </p>
<p>With Popen, this could be run with</p>
<pre><code>import subprocess
task = subprocess.Popen("cat file.txt", shell=True, stdout=subprocess.PIPE)
data = task.stdout.read()
</code></pre>
<p>With check_output, one could run</p>
<pre><code>import subproces... | 1 | 2016-09-15T11:32:29Z | 39,510,272 | <p><code>Popen</code> is the class that defines an object used to interact with an external process. <code>check_output()</code> is just a wrapper around an instance of <code>Popen</code> to examine its standard output. Here's the definition from Python 2.7 (sans docstring):</p>
<pre><code>def check_output(*popenargs,... | 1 | 2016-09-15T11:47:44Z | [
"python",
"bash",
"shell",
"subprocess"
] |
Concatenate/stack unpacked numpy array in certain axis to other arrays | 39,510,084 | <p>I want to create a numpy array <code>variables</code> with a certain structure, as in the example below, consisting of the variables <code>X</code> and <code>Y</code> for a meshgrid and additional parameters <code>params</code>. I need this in the context of plotting a 3D surface plot for a function <code>f(variable... | 0 | 2016-09-15T11:36:05Z | 39,512,379 | <p>You can't get there from here.</p>
<p>Numpy arrays are for storing cuboidal grids of data, where each entry is the same shape as every other entry.</p>
<p>The best you can do here is have a <code>(5,)</code>-grid, containing <code>object</code>s, where each of the first two objects is itself a numpy array:</p>
<p... | 1 | 2016-09-15T13:30:53Z | [
"python",
"arrays",
"numpy"
] |
Gather rows under the same key in Cassandra/Python | 39,510,113 | <p>I was working through the <a href="https://academy.datastax.com/resources/getting-started-time-series-data-modeling" rel="nofollow">Pattern 1</a> and was wondering if there is a way, in python or otherwise to "gather" all the rows with the same id into a row with dictionaries.</p>
<pre><code>CREATE TABLE temperatur... | 0 | 2016-09-15T11:38:12Z | 39,514,436 | <p>Alex, you will have to do some post execution data processing to get this format. The driver returns row by row, no matter what row_factory you use. </p>
<p>One of the reasons the driver cannot accomplish the format you suggest is that there is pagination involved internally (default fetch_size is 5000). So the res... | 1 | 2016-09-15T15:04:17Z | [
"python",
"cassandra"
] |
skype4py PlaceCall doesn't work on OSX | 39,510,212 | <p>I'm trying to write a python script which calls skype numbers for a music project. For some reason although the script can connect to the skype instance, when I make a call the app just waits and the call never goes through to the calling device. </p>
<p>I've tried this in my own script, and the example record.py s... | 0 | 2016-09-15T11:43:38Z | 39,531,246 | <p>I tried this on windows 8, and osx the API seems to be broken. On ubuntu trusty, the code works exactly as expected. </p>
| 1 | 2016-09-16T12:12:59Z | [
"python",
"osx",
"skype",
"skype4py"
] |
Django Auth user date_joined field datetime to string | 39,510,274 | <p>When i am fetching the stored datetime value from auth user in django the value comes as below is there a way to convert this into normal date time format may be like <code>"dd:mm:yyyy hh:mm:ss"</code> or some string value that can be displayed in better(other) format</p>
<pre><code> date_joined = request.user.dat... | 0 | 2016-09-15T11:47:50Z | 39,511,082 | <p>You can format a datetime object using its <a href="https://docs.python.org/2/library/datetime.html#strftime-strptime-behavior" rel="nofollow"><code>strftime()</code></a> method, for example like this:</p>
<pre><code> date_joined = request.user.date_joined
date_joined.strftime("%d:%m:%y %H:M:S")
</code></pre>
<p>... | 1 | 2016-09-15T12:30:11Z | [
"python",
"django",
"datetime"
] |
Django project template loader setup | 39,510,368 | <p>Is it possible to set the django project template loading priority so that first of all it loads the apps' "templates" folder and after that the project "templates". If the template exists in the app folder, then use it. If it does not exist in the app folder, then try load from project folder.</p>
<p>Or it is not... | 0 | 2016-09-15T11:53:46Z | 39,510,662 | <p>Update your <code>TEMPLATES</code> setting, and put the <code>app_directories</code> loader before the <code>filesystem</code> loader.</p>
<p>If you currently have <code>'APP_DIRS': True</code>, you will have to remove this, and add the <code>loaders</code> option.</p>
<p>For example, you could change your <code>T... | 1 | 2016-09-15T12:08:13Z | [
"python",
"django",
"django-templates"
] |
Producing a sorted football league table in Python | 39,510,399 | <p>I have created a program which simulates an entire football season between teams. The user inputs the teams' names and their skill ratings. It then uses the Poisson distribution to compare their skill ratings and calculate the result between the two teams. After each match, the relevant lists are updated: the winnin... | 2 | 2016-09-15T11:54:46Z | 39,511,038 | <p>While your current approach is (barely) workable, it makes it very difficult to (for example) change the information you want to store about each team. You might consider defining a Team class instead, each instance of which stores all the information about a specific team.</p>
<pre><code>class Team:
def __init... | 3 | 2016-09-15T12:28:07Z | [
"python",
"list",
"sorting"
] |
Django combine different tables in separate table | 39,510,526 | <p>I have 2 tables and wanted to <code>combine</code> 1st and 2nd table and show it in 3rd table</p>
<pre><code> class Date(models.Model):
name = models.CharField(max_length=50)
def __unicode__(self):
return self.name
class Month(models.Model):
name = models.CharField(max_len... | 0 | 2016-09-15T12:00:54Z | 39,511,339 | <p>To get 1st and 2nd table content into 3rd table you need to write separate foreign keys for each model. We should not assign a single foreign key for both models.</p>
<pre><code>class Group(models.Model):
date = models.ForeignKey(Date)
month = models.ForeignKey(Month)
def __unicode__(self):
ret... | 2 | 2016-09-15T12:42:13Z | [
"python",
"django",
"django-models"
] |
How to do regression using tensorflow with series output? | 39,510,597 | <p>I want to build a regression model with 2 output nodes using tensorflow. I search a code which can build regression model but with 1 output nodes.</p>
<p><a href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/skflow/boston.py" rel="nofollow">https://github.com/tensorflow/tensorflow/blob/m... | 0 | 2016-09-15T12:04:29Z | 39,528,834 | <p>Actually, I find a workable code using DNNRegressor:</p>
<pre><code>import numpy as np
from sklearn.cross_validation import train_test_split
from tensorflow.contrib import learn
import tensorflow as tf
import logging
#logging.getLogger().setLevel(logging.INFO)
#Some fake data
N=200
X=np.array(range(N),dtype=np.fl... | 0 | 2016-09-16T10:07:19Z | [
"python",
"output",
"tensorflow",
"regression"
] |
Convert list of list of integers into a list of strings | 39,510,778 | <p>I have a list of strings:</p>
<pre><code>['[2, 8]', '[8, 2]', '[2, 5, 3]', '[2, 5, 3, 0]', '[5, 3, 0, 2]']
</code></pre>
<p>I want output to look like </p>
<pre><code>['28','82','253',2530',5302']
</code></pre>
<p>I've tried using </p>
<pre><code>string1= ''.join(str(e) for e in list[0])
</code></pre>
<p>I... | 2 | 2016-09-15T12:14:01Z | 39,510,804 | <p>You actually don't have a <code>list</code> of <code>list</code>, you have a <code>list</code> of <code>str</code>. Therefore you can use <a href="https://docs.python.org/3/library/ast.html#ast.literal_eval" rel="nofollow"><code>ast.literal_eval</code></a> to interpret each string as a list, then convert to <code>st... | 4 | 2016-09-15T12:16:01Z | [
"python",
"string",
"list"
] |
Convert list of list of integers into a list of strings | 39,510,778 | <p>I have a list of strings:</p>
<pre><code>['[2, 8]', '[8, 2]', '[2, 5, 3]', '[2, 5, 3, 0]', '[5, 3, 0, 2]']
</code></pre>
<p>I want output to look like </p>
<pre><code>['28','82','253',2530',5302']
</code></pre>
<p>I've tried using </p>
<pre><code>string1= ''.join(str(e) for e in list[0])
</code></pre>
<p>I... | 2 | 2016-09-15T12:14:01Z | 39,510,866 | <p>If you want to use built-in functions only (without imports), you can define a function that parses only the numbers and map that function to your list.</p>
<pre><code>def remove_non_digits(z):
return "".join(k if k.isdigit() else "" for k in z)
>>> map(remove_non_digits, a)
['28', '82', '253', '2530'... | 2 | 2016-09-15T12:19:12Z | [
"python",
"string",
"list"
] |
Mean or max pooling with masking support in Keras | 39,510,809 | <pre><code>...
print('Build model...')
model = Sequential()
model.add(Embedding(max_features, 128))
model.add(LSTM(size, return_sequences=True, dropout_W=0.2 dropout_U=0.2))
model.add(GlobalAveragePooling1D())
model.add(Dense(1))
model.add(Activation('sigmoid'))
....
</code></pre>
<p>I need to be able to take the mea... | 1 | 2016-09-15T12:16:22Z | 39,534,110 | <p>Since average pooling is only doing a mean over one axis, you just need to correct the number of elements in the mean since loss masking is handled at the end, not here. You can do this probably with something like this:</p>
<pre><code>class GlobalAveragePooling1DMasked(GlobalAveragePooling1D):
def call(self, x... | 0 | 2016-09-16T14:35:28Z | [
"python",
"masking",
"keras",
"lstm",
"pooling"
] |
Process each line of text file using Python | 39,510,824 | <p>I am fairly new to Python. I have a text file containing many blocks of data in following format along with other unnecessary blocks.</p>
<pre><code> NOT REQUIRED :: 123
Connected Part-1:: A ~$
Connected Part-3:: B ~$
Connector Location:: 100 200 300 ~$
NOT REQUIRED :: 456
Connected ... | 0 | 2016-09-15T12:17:14Z | 39,512,204 | <p>I will try to make it clear, and show how I would do it without <code>regex</code>. First of all, the biggest issue with the code presented is that when using the <code>string.strip</code> function the entire content list is being read:</p>
<pre><code>connected_part_1 = [s.strip(' \n ~ $ Connected Part -1 ::') for ... | 0 | 2016-09-15T13:24:02Z | [
"python",
"python-3.x"
] |
How to copy a .bin file to a text file in Python | 39,510,827 | <p>I'm trying to take a file with .bin suffix, encode it and then to send it to someone(sending it as .bin is not supported)...the problem is that when i use the command :</p>
<pre><code>with open('myfile.bin','r') as fileToCopy:
</code></pre>
<p>I got an error messages </p>
<pre><code>'charmap' codec can't decode b... | 0 | 2016-09-15T12:17:19Z | 39,511,331 | <p>It's not clear what you are trying to do. Either you are trying to copy an existing file <code>myfile.bin</code> to a new file <code>newfile.txt</code> or you're trying to convert the binary file to a human readable format.</p>
<p>Assuming it's your goal to copy the file <code>myfile.bin</code> to <code>newfile.txt... | 2 | 2016-09-15T12:41:36Z | [
"python",
"file",
"text",
"binary",
"bin"
] |
extract data from website using python | 39,510,830 | <p>I recently started learning python and one of the first projects I did was to scrap updates from my son's classroom web page and send me notifications that they updated the site. This turned out to be an easy project so I wanted to expand on this and create a script that would automatically check if any of our lott... | 0 | 2016-09-15T12:17:31Z | 39,511,176 | <p>If you look closely at the source of the page (I just used <code>curl</code>) you can see this block</p>
<pre><code><script type="text/javascript">
// <![CDATA[
var dataPath = '../../';
var json_filename = 'data/json/games/lottery/recent.json';
var games = new Array();
var sessions = ne... | 0 | 2016-09-15T12:34:02Z | [
"python",
"python-3.x"
] |
lambda python function in reversing list | 39,511,011 | <pre><code>scores = []
with open("scores.txt") as f:
for line in f:
name, score = line.split(',')
score = int(score)
scores.append((name, score))
scores.sort(key=lambda s: s[1])
for name, score in scores:
print(name + ", " + str(score))
</code></pre>
<p>This code can be used to ... | 0 | 2016-09-15T12:26:40Z | 39,511,040 | <p>Use the <a href="https://docs.python.org/3/library/functions.html#sorted" rel="nofollow"><code>reverse</code></a> argument to <code>list.sort()</code>:</p>
<pre><code>scores.sort(key=lambda s: s[1], reverse=True)
</code></pre>
<p>From the documentation:</p>
<blockquote>
<p><em>reverse</em> is a boolean value. I... | 1 | 2016-09-15T12:28:12Z | [
"python"
] |
lambda python function in reversing list | 39,511,011 | <pre><code>scores = []
with open("scores.txt") as f:
for line in f:
name, score = line.split(',')
score = int(score)
scores.append((name, score))
scores.sort(key=lambda s: s[1])
for name, score in scores:
print(name + ", " + str(score))
</code></pre>
<p>This code can be used to ... | 0 | 2016-09-15T12:26:40Z | 39,511,066 | <p>Just use <code>scores[::-1]</code> instead of <code>scores</code> in the last for-loop. Here's a small illustration of this behaviour:</p>
<pre><code>a=list(range(10))
print(a[::-1])
</code></pre>
| 1 | 2016-09-15T12:29:28Z | [
"python"
] |
lambda python function in reversing list | 39,511,011 | <pre><code>scores = []
with open("scores.txt") as f:
for line in f:
name, score = line.split(',')
score = int(score)
scores.append((name, score))
scores.sort(key=lambda s: s[1])
for name, score in scores:
print(name + ", " + str(score))
</code></pre>
<p>This code can be used to ... | 0 | 2016-09-15T12:26:40Z | 39,511,311 | <p>Use <code>reverse</code> when you sort: </p>
<pre><code>>>> l = [('a', 1), ('c',5), ('a', 2), ('b', 1)]
>>> l.sort(key=lambda i: i[1], reverse=True)
>>> l
[('c', 5), ('a', 2), ('a', 1), ('b', 1)]
</code></pre>
<p>You can use it with <code>sorted</code>: </p>
<pre><code>>>> l... | 0 | 2016-09-15T12:40:29Z | [
"python"
] |
Resample xarray Dataset to annual frequency using only winter data | 39,511,062 | <p>I have a dataset which consists of daily x,y gridded meteorological data for several years. I am interested in calculating annual means of winter data only, ie. not including the summer data as well.</p>
<p>I think that I need to use the <code>resample</code> command with, e.g. a frequency of <code>AS-OCT</code> to... | 1 | 2016-09-15T12:29:15Z | 39,516,454 | <p>The trick is to create a mask for the dates you wish to exclude. You can do this by using groupby to extract the month.</p>
<pre class="lang-python prettyprint-override"><code>import xarray as xr
import pandas as pd
import numpy as np
# create some example data at daily resolution that also has a space dimension
t... | 3 | 2016-09-15T16:51:52Z | [
"python",
"python-xarray"
] |
Extract nested tags with other text data as string in scrapy | 39,511,122 | <p>I am trying to extract data.
Here is the specific part of the html-</p>
<pre><code> <div class="readable">
<span id="freeTextContainer2123443890291117716">I write because I need to. <br>I review because I want to.
<br>I pay taxes because I have to.
<br><br>... | 0 | 2016-09-15T12:31:51Z | 39,513,567 | <p>As per my comment, you can use xpath with <code>//text()</code> to get all the children's text content.</p>
| 0 | 2016-09-15T14:22:16Z | [
"python",
"scrapy"
] |
Python NetworkX creating graph from incidence matrix | 39,511,179 | <p>I have an incidence matrix (where the rows are nodes and the columns are edges) as follows (it is read from a text file into a NumPy array):</p>
<pre><code>[[1 1 1 1 1 1 1 1 1 1]
[1 1 1 1 1 1 1 0 0 0]
[1 1 1 1 1 0 1 1 0 0]
[0 0 1 1 1 0 1 0 0 0]
[1 1 1 1 1 1 0 0 0 0]
[1 1 0 1 1 0 0 0 0 0]
[1 0 1 0 0 1 0 1 0 0]... | 2 | 2016-09-15T12:34:09Z | 39,515,259 | <p>Networkx has a handy <a href="http://networkx.github.io/documentation/networkx-1.7/reference/generated/networkx.convert.from_numpy_matrix.html" rel="nofollow"><code>nx.from_numpy_matrix</code> function</a> taking an adjacency matrix, so once we convert the incidence matrix to an adjacency matrix, we're good.</p>
<p... | 2 | 2016-09-15T15:44:59Z | [
"python",
"networkx"
] |
Python - Add checkbox to every row in QTableWidget | 39,511,181 | <p>I am trying to add a checkbow to every row in a QTableWidget, unfortunately it only seems to appear in the first row. Here is my code:</p>
<pre><code>data = ['first_row', 'second_row', 'third_row']
nb_row = len(data)
nb_col = 2
qTable = self.dockwidget.tableWidget
qTable.setRowCount(nb_row)
qTable.setColumnCount(n... | 0 | 2016-09-15T12:34:10Z | 39,511,449 | <p>Ok, I just had to put <code>chkBoxItem = QTableWidgetItem()</code> inside the last loop (<em>I guess it has to create a new <code>QTableWidgetItem()</code> item for each row</em>...):</p>
<pre><code>for col in [1]:
chkBoxItem = QTableWidgetItem()
chkBoxItem.setFlags(QtCore.Qt.ItemIsUserCheckable | QtCore.Qt... | 0 | 2016-09-15T12:48:59Z | [
"python",
"pyqt",
"qtablewidget",
"qcheckbox"
] |
SQLAlchemy can't join two tables with two foreign keys between them | 39,511,232 | <p>The code below does not work due to this line <code>owner_id = Column(Integer, ForeignKey('employees.employee_id'))</code> in Manager class. SQLAlchemy generates error message:</p>
<blockquote>
<p>AmbiguousForeignKeysError: Can't determine join between 'employees' and > 'managers'; tables have more than one fore... | 0 | 2016-09-15T12:36:46Z | 39,514,965 | <p>You are both extending parent model as well as defining relationship to the same parent model.</p>
<p>simply use one way, you could simply created relations and have all your models extend base class</p>
<pre><code>class Employee(Base):
__tablename__ = 'employees'
employee_id = Column(Integer, primary_key... | 0 | 2016-09-15T15:29:51Z | [
"python",
"sqlalchemy"
] |
SQLAlchemy can't join two tables with two foreign keys between them | 39,511,232 | <p>The code below does not work due to this line <code>owner_id = Column(Integer, ForeignKey('employees.employee_id'))</code> in Manager class. SQLAlchemy generates error message:</p>
<blockquote>
<p>AmbiguousForeignKeysError: Can't determine join between 'employees' and > 'managers'; tables have more than one fore... | 0 | 2016-09-15T12:36:46Z | 39,518,177 | <p>SQLAlchemy is confused about how to join <code>Manager</code> to <code>Employee</code> because you have multiple foreign keys between the two tables, <code>employee_id</code> and <code>owner_id</code>. In this case, you need to specify the <code>inherit_condition</code> to the mapper explicitly:</p>
<pre><code>clas... | 1 | 2016-09-15T18:39:16Z | [
"python",
"sqlalchemy"
] |
Filtering a pandas data frame with a variable | 39,511,378 | <p>I'm stuck on something simple but I can't see it despite reading the docs and relevant SO questions. This involves filtering records from data that comes out of a WordPress database. </p>
<p>Create some data:</p>
<pre><code>import pandas as pd
data = {'number': [1,2,3],\
'field': ['billing_last_name', 'sh... | 0 | 2016-09-15T12:44:24Z | 39,511,431 | <p>Maybe you should create match as:</p>
<pre><code>match = str(choice['name'][0])
</code></pre>
<p>cause <strong>choice['name']</strong> is Series</p>
| 0 | 2016-09-15T12:47:59Z | [
"python",
"pandas"
] |
Filtering a pandas data frame with a variable | 39,511,378 | <p>I'm stuck on something simple but I can't see it despite reading the docs and relevant SO questions. This involves filtering records from data that comes out of a WordPress database. </p>
<p>Create some data:</p>
<pre><code>import pandas as pd
data = {'number': [1,2,3],\
'field': ['billing_last_name', 'sh... | 0 | 2016-09-15T12:44:24Z | 39,511,457 | <p>The problem is that <code>str(choice.name)</code> will not do what you think. The type is</p>
<pre><code>In [205]: type(choice.name)
Out[205]: pandas.core.series.Series
</code></pre>
<p>so <code>str</code> just finds the string representation of the Series.</p>
<p>In order to access it the way you want, you can u... | 1 | 2016-09-15T12:49:20Z | [
"python",
"pandas"
] |
Filtering a pandas data frame with a variable | 39,511,378 | <p>I'm stuck on something simple but I can't see it despite reading the docs and relevant SO questions. This involves filtering records from data that comes out of a WordPress database. </p>
<p>Create some data:</p>
<pre><code>import pandas as pd
data = {'number': [1,2,3],\
'field': ['billing_last_name', 'sh... | 0 | 2016-09-15T12:44:24Z | 39,511,539 | <p><code>match</code> is actually a <code>pandas</code> <code>series</code>, not the <code>string</code> variable "jones". In this case, you need to access the <code>string</code> values within the <code>series</code>:</p>
<pre><code>field_filter = 'billing_last_name'
number_filter = 1
choice = dframe[(dframe['field'... | 2 | 2016-09-15T12:52:49Z | [
"python",
"pandas"
] |
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