Add the `title` parameter to the this line:

    legend = plt.legend(handles=[one, two, three], title=&quot;title&quot;,
                        loc=4, fontsize=&#39;small&#39;, fancybox=True)

See also the [official docs for the `legend` constructor][1].


  [1]: https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.legend.html#matplotlib-axes-axes-legend

Just to add to the accepted answer that this also works with an Axes object.

```
fig, ax = plt.subplots()
ax.plot([0, 1, 2], [0, 1, 4], label=&#39;some_label&#39;) # Or however the Axes was created.
ax.legend(title=&#39;This is My Legend Title&#39;)
```

In case you have an already created legend, you can modify its title with `set_title()`. For the first answer:

```python
legend = plt.legend(handles=[one, two, three], loc=4, fontsize=&#39;small&#39;, fancybox=True)
legend.set_title(&quot;title&quot;)   
# plt.gca().get_legend().set_title() if you didn&#39;t store the
# legend in an object or you&#39;re loading a saved figure. 
```
For the second answer based on Axes:
```python
fig, ax = plt.subplots()
ax.plot([0, 1, 2], [0, 1, 4], label=&#39;some_label&#39;) # Or however the Axes was created.
ax.legend()
ax.get_legend().set_title(&quot;title&quot;)

I have problem. I need to write a program in .Net Core(C#) which use app.config like this:

    &lt;?xml version=&quot;1.0&quot; encoding=&quot;utf-8&quot; ?&gt;
    &lt;configuration&gt;
      &lt;configSections&gt;
        &lt;section name=&quot;custom&quot; type=&quot;ConfigurationSample.CustomConfigurationSection, ConfigurationSample&quot;/&gt;
      &lt;/configSections&gt;
      &lt;connectionStrings&gt;
        &lt;add name=&quot;sampleDatabase&quot; connectionString=&quot;Data Source=localhost\SQLExpress;Initial Catalog=SampleDatabase;Integrated Security=True&quot;/&gt;
      &lt;/connectionStrings&gt;
      &lt;appSettings&gt;
        &lt;add key=&quot;sampleApplication&quot; value=&quot;Configuration Sample&quot;/&gt;
      &lt;/appSettings&gt;
      &lt;custom&gt;
        &lt;customConfigurations&gt;
          &lt;add key=&quot;customSample&quot; name=&quot;Mickey Mouse&quot; age=&quot;83&quot;/&gt;
        &lt;/customConfigurations&gt;
      &lt;/custom&gt;
    &lt;/configuration&gt;

and I write:

    string connectionString = ConfigurationManager.ConnectionStrings[&quot;sampleDatabase&quot;].ConnectionString;
    Console.WriteLine(connectionString);
                
    // read appSettings configuration
    string appSettingValue = ConfigurationManager.AppSettings[&quot;sampleApplication&quot;];
    Console.WriteLine(appSettingValue);

and it is example from the internet so I thought would work, but I am getting exceptions:

    System.Configuration.ConfigurationErrorsException: &#39;Error Initializing the configuration system.&#39;
    Inner Exception
    TypeLoadException: Could not load type &#39;System.Configuration.InternalConfigurationHost&#39; from assembly &#39;CoreCompat.System.Configuration, Version=4.2.3.0, Culture=neutral, PublicKeyToken=null&#39; because the method &#39;get_bundled_machine_config&#39; has no implementation (no RVA).

I downloaded via NuGet - Install-Package CoreCompat.System.Configuration -Version 4.2.3-r4 -Pre and still don&#39;t work. Maybe someone can help me? 

Using app.config in .Net Core

I&#39;d like to understand what is intended to be communicated by the words &quot;verb&quot; and &quot;sill&quot; when installing node modules via npm:

    ⋊&gt; ~/t/quill on develop ◦ npm install                                                                                                                                  15:35:02
    ⸨      ░░░░░░░░░░░░⸩ ⠙ fetchMetadata: sill mapToRegistry uri https://registry.npmjs.org/big.js

The `sill` right before `mapToRegistry` also changes to `verb` and back again. What do these mean?

Why does npm flash &quot;verb&quot; and &quot;sill&quot; while installing things?

I know it seems fairly redundant to have a title for a legend, but is it possible using matplotlib?

Here&#39;s a snippet of the code I have:

    import matplotlib.patches as mpatches
    import matplotlib.pyplot as plt

    one = mpatches.Patch(facecolor=&#39;#f3f300&#39;, label=&#39;label1&#39;, linewidth = 0.5, edgecolor = &#39;black&#39;)
    two = mpatches.Patch(facecolor=&#39;#ff9700&#39;, label = &#39;label2&#39;, linewidth = 0.5, edgecolor = &#39;black&#39;)
    three = mpatches.Patch(facecolor=&#39;#ff0000&#39;, label = &#39;label3&#39;, linewidth = 0.5, edgecolor = &#39;black&#39;)

    legend = plt.legend(handles=[one, two, three], loc = 4, fontsize = &#39;small&#39;, fancybox = True)

    frame = legend.get_frame() #sets up for color, edge, and transparency
    frame.set_facecolor(&#39;#b4aeae&#39;) #color of legend
    frame.set_edgecolor(&#39;black&#39;) #edge color of legend
    frame.set_alpha(1) #deals with transparency
    plt.show()

I would want the title of the legend above label1. For reference, this is the output:
[![Showing legend][1]][1]


  [1]: https://i.stack.imgur.com/qK0hz.png

Title for matplotlib legend

I know it seems fairly redundant to have a title for a legend, but is it possible using matplotlib?
Here's a snippet of the code I have:
<pre><code class="hljs language-ini">import matplotlib.patches as mpatches
import matplotlib.pyplot as plt

one = mpatches.Patch(facecolor='#f3f300', label='label1', linewidth = 0.5, edgecolor = 'black')
two = mpatches.Patch(facecolor='#ff9700', label = 'label2', linewidth = 0.5, edgecolor = 'black')
three = mpatches.Patch(facecolor='#ff0000', label = 'label3', linewidth = 0.5, edgecolor = 'black')

legend = plt.legend(handles=[one, two, three], loc = 4, fontsize = 'small', fancybox = True)

frame = legend.get_frame() #sets up for color, edge, and transparency
frame.set_facecolor('#b4aeae') #color of legend
frame.set_edgecolor('black') #edge color of legend
frame.set_alpha(1) #deals with transparency
plt.show()
</code></pre>
I would want the title of the legend above label1. For reference, this is the output:
<a href="https://i.stack.imgur.com/qK0hz.png" target="_blank" rel="noopener noreferrer"><img src="https://i.stack.imgur.com/qK0hz.png" alt="Showing legend"></a>

I was wondering if it&#39;s possible to store an array in a Django model?

I&#39;m asking this because I need to store an array of `int` (e.g [1,2,3]) in a field and then be able to search a specific array and get a match with it or by it&#39;s possible combinations.

I was thinking to store that arrays as strings in `CharField`s and then, when I need to search something, concatenate the values(obtained by filtering other model) with &#39;[&#39;, &#39;]&#39; and &#39;,&#39; and then use a object filter with that generated string. The problem is that I will have to generate each possible combination and then filter them one by one until I get a match, and I believe that this might be inefficient.

So, I hope you can give me other ideas that I could try.

I&#39;m not asking for code, necessarily, any ideas on how to achieve this will be good.


Is it possible to store an array in Django model?

I am facing some attribute error while running face recognizing the code. My face detects code run perfectly.But while I try to run the face recognizing code it shows some attribute error. I googled and tried to follow all the steps. But still, it shows the same error. Here is my code:

face recognition

![enter link description here][1]

and I get the following error:



    C:\Users\MAN\AppData\Local\Programs\Python\Python36\python.exe C:/Users/MAN/PycharmProjects/facerecognition/Recognise/recognize1.py
    Traceback (most recent call last):
      File &quot;C:/Users/MAN/PycharmProjects/facerecognition/Recognise/recognize1.py&quot;, line 4, in &lt;module&gt;
        recognizer = cv2.createLBPHFaceRecognizer()
    AttributeError: module &#39;cv2.cv2&#39; has no attribute &#39;createLBPHFaceRecognizer&#39;
    
    Process finished with exit code 1.

I am using Windows platform. python 3.6 version.Thanks in advance.


  [1]: https://i.stack.imgur.com/z5nKN.png

AttributeError: module &#39;cv2.cv2&#39; has no attribute &#39;createLBPHFaceRecognizer&#39;

This code is from Python&#39;s Documentation. I&#39;m a little confused.

    words = [&#39;cat&#39;, &#39;window&#39;, &#39;defenestrate&#39;]
    for w in words[:]:
	    if len(w) &gt; 6:
		    words.insert(0, w)
    print(words)
And the following is what I thought at first:

    words = [&#39;cat&#39;, &#39;window&#39;, &#39;defenestrate&#39;]
    for w in words:
	    if len(w) &gt; 6:
		    words.insert(0, w)
    print(words)

Why does this code create a infinite loop and the first one doesn&#39;t?

What is the meaning of list[:] in this code?

I can access elements of a named tuple by name as follows(*):

    from collections import namedtuple
    Car = namedtuple(&#39;Car&#39;, &#39;color mileage&#39;)
    my_car = Car(&#39;red&#39;, 100)
    print my_car.color

But how can I use a variable to specify the name of the field I want to access? E.g.

    field = &#39;color&#39;
    my_car[field] # doesn&#39;t work
    my_car.field # doesn&#39;t work

My actual use case is that I&#39;m iterating through a pandas dataframe with `for row in data.itertuples()`. I am doing an operation on the value from a particular column, and I want to be able to specify the column to use by name as a parameter to the method containing this loop.



(*) [example taken from here](https://dbader.org/blog/writing-clean-python-with-namedtuples). I am using Python 2.7.


How to access a field of a namedtuple using a variable for the field name?

I&#39;m trying to do some aggregations on a pandas data frame. Here is a sample code:

    import pandas as pd
    
    df = pd.DataFrame({&quot;User&quot;: [&quot;user1&quot;, &quot;user2&quot;, &quot;user2&quot;, &quot;user3&quot;, &quot;user2&quot;, &quot;user1&quot;],
                      &quot;Amount&quot;: [10.0, 5.0, 8.0, 10.5, 7.5, 8.0]})
    
    df.groupby([&quot;User&quot;]).agg({&quot;Amount&quot;: {&quot;Sum&quot;: &quot;sum&quot;, &quot;Count&quot;: &quot;count&quot;}})

    Out[1]: 
          Amount      
             Sum Count
    User              
    user1   18.0     2
    user2   20.5     3
    user3   10.5     1

Which generates the following warning:

&gt; FutureWarning: using a dict with renaming is deprecated and will be
&gt; removed in a future version   return super(DataFrameGroupBy,
&gt; self).aggregate(arg, *args, **kwargs)

How can I avoid this?

Rename result columns from Pandas aggregation (&quot;FutureWarning: using a dict with renaming is deprecated&quot;)

I would like to be able to hide the axes and gridlines on a 3D matplotlib graph. I want to do this because when zooming in and out the image gets pretty nasty. I&#39;m not sure what code to include here but this is what I use to create the graph. 

    fig = plt.figure()
    ax = fig.gca(projection=&#39;3d&#39;)
    ax.view_init(30, -90)
    ax.set_xlabel(&quot;X&quot;)
    ax.set_ylabel(&quot;Y&quot;)
    ax.set_zlabel(&quot;Z&quot;)
    plt.xlim(0,pL)
    plt.ylim(0,pW)
    ax.set_aspect(&quot;equal&quot;)
    
    plt.show()

This is an example of the plot that I am looking at:  
![This is an example of the plot that I am looking at][1]


  [1]: https://i.stack.imgur.com/MGR1b.png

How to hide axes and gridlines in Matplotlib (python)

I&#39;ve created this plot using Seaborn and a pandas dataframe (`data`): 
    
[![enter image description here][1]][1]

My code: 

    g = sns.lmplot(&#39;credibility&#39;, &#39;percentWatched&#39;, data=data, hue = &#39;millennial&#39;, markers = [&quot;+&quot;, &quot;.&quot;], x_jitter = True, y_jitter = True, size=5)
    g.set(xlabel = &#39;Credibility Ranking\n ← Low       High  →&#39;, ylabel = &#39;Percent of Video Watched [%]&#39;)

You may notice the plot&#39;s legend title is simply the variable name (&#39;millennial&#39;) and the legend items are the variable&#39;s values (0, 1). How can I edit the legend&#39;s title and labels? Ideally, the legend&#39;s title would be &#39;Generation&#39; and the labels would be &quot;Millennial&quot; and &quot;Older Generations&quot;


  [1]: https://i.stack.imgur.com/e17Aj.png

How to edit a seaborn legend title and labels for figure-level functions

I am trying to display 20 random images on a single Figure. The images are indeed displayed, but they are overlaid. I am using:

    import numpy as np
    import matplotlib.pyplot as plt
    w=10
    h=10
    fig=plt.figure()
    for i in range(1,20):
        img = np.random.randint(10, size=(h,w))
        fig.add_subplot(i,2,1)
        plt.imshow(img)
    plt.show()

I would like them to appear naturally in a grid layout (say 4x5), each with the same size. Part of the problem is that I do not know what the arguments to add_subplot mean. The documentation states that the arguments are the number of rows, number of columns, and plot number. There is no positioning argument. Additionally, the plot number can only be 1 or 2. How can I achieve this?


How to display multiple images in one figure correctly?

I want to plot data, in two different subplots. After plotting, I want to go back to the first subplot and plot an additional dataset in it. However, when I do so I get this warning:

&gt; MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
  warnings.warn(message, mplDeprecation, stacklevel=1)

I can reproduce that with a simple piece of code:

    import matplotlib.pyplot as plt
    import numpy as np
    
    # Generate random data
    data = np.random.rand(100)
    
    # Plot in different subplots
    plt.figure()
    plt.subplot(1, 2, 1)
    plt.plot(data)
    
    plt.subplot(1, 2, 2)
    plt.plot(data)
    
    plt.subplot(1, 2, 1) # Warning occurs here
    plt.plot(data + 1)

Any ideas on how to avoid this warning? I use matplotlib 2.1.0. Looks like the same problem as [here][1]


  [1]: https://stackoverflow.com/questions/46883118/matplotlibdeprecationwarning-why-these-error-come-out &quot;this one&quot;

Matplotlib: Adding an axes using the same arguments as a previous axes

&lt;!-- What are you trying to accomplish? (Please include sample data.) --&gt;
I have created a figure using matplotlib but I have realised the plot axis and the drawn line gets zoomed out. 
[![enter image description here][1]][1]

Reading this [earlier discussion thread][2], it explains how to set the figure size.
&lt;!-- Paste the part of the code that shows the problem. (Please indent 4 spaces.) --&gt;

`fig, ax = plt.subplots()`

`fig.set_size_inches(3, 1.5)`

`plt.savefig(file.jpeg, edgecolor=&#39;black&#39;, dpi=400, facecolor=&#39;black&#39;, transparent=True)`

&lt;!-- What do you expect the result to be? --&gt;
With the above code (other configurations removed for brevity), I do get a resulting image file with `1200 X 600` desired dimensions(should we say resolution too?) and desired file size.

&lt;!-- What is the actual result you get? (Please include any errors.) --&gt;
The projected image is scaled out in an unusual way, annotations for example are enlarged. While I can set the size of the labels on the axis, the figure doesn&#39;t look proportional with respect to the scale since the bottom and right spines are  large and so are the plotted lines.

The question therefore is, what configurations are going wrong?


  [1]: https://i.stack.imgur.com/Zncs9.jpg
  [2]: https://stackoverflow.com/questions/332289/how-do-you-change-the-size-of-figures-drawn-with-matplotlib/638443#638443

Content Type	Original Author	Original Content on Stackoverflow
Question	Brandon Molyneaux	View Question on Stackoverflow
Solution 1 - Python	Alper Fırat Kaya	View Answer on Stackoverflow
Solution 2 - Python	ErnestScribbler	View Answer on Stackoverflow
Solution 3 - Python	ibarrond	View Answer on Stackoverflow

Title for matplotlib legend

Python Problem Overview

Python Solutions

Solution 1 - Python

Solution 2 - Python

Solution 3 - Python

Why does npm flash "verb" and "sill" while installing things?

Using app.config in .Net Core

Attributions