It is standard matplotlib.pyplot:

    ...
    import matplotlib.pyplot as plt
    plt.ylim(10, 40)

Or simpler, as mwaskom comments below:

    ax.set(ylim=(10, 40))


[![enter image description here][1]][1]


  [1]: http://i.stack.imgur.com/uJ7yk.png

I read the documentation of moment.js that if you want to add 1 month from the current date time you use this code

    var moment = require(&#39;moment&#39;);
    var futureMonth = moment().add(1, &#39;M&#39;).format(&#39;DD-MM-YYYY&#39;);
    
But the problem right now, it is not properly add the date correctly, for example
let say the current date is 31/10/2015, explain in code

    var currentDate = moment().format(&#39;DD-MM-YYYY&#39;);
    var futureMonth = moment().add(1, &#39;M&#39;).format(&#39;DD-MM-YYYY&#39;);

    console.log(currentDate) //  Will result --&gt; 31/10/2015
    console.log(futureMonth) //  Will result --&gt; 30/11/2015 

if you take a look at the current calendar time, 1 month from `31/10/2015` supposed to be `1/12/2015`
    
Could anyone give me some opinion on how to fix this problem.

Thank you


How to properly add 1 month from now to current date in moment.js

How to move a line of text up/down in [Nano linux command line editor](http://www.nano-editor.org/)? 

Is there any analogue way to do that as in [IntelliJ Idea](https://www.jetbrains.com/idea/help/adding-deleting-and-moving-lines.html#d1591098e152):

1. Place the caret at the line to be moved.
2. Do one of the following:

On the main menu, choose `Code | Move Line Up or Code | Move Line Down`.

Press &lt;kbd&gt;Shift&lt;/kbd&gt;+&lt;kbd&gt;Alt&lt;/kbd&gt;+&lt;kbd&gt;Up&lt;/kbd&gt; or &lt;kbd&gt;Shift&lt;/kbd&gt;+&lt;kbd&gt;Alt&lt;/kbd&gt;+&lt;kbd&gt;Down&lt;/kbd&gt;.

Move whole line up/down shortcut in nano (analogue to intelliJ or Visual Studio)

From the [official seaborn documentation][1], I learned that you can create a boxplot as below:

    import seaborn as sns
    sns.set_style(&quot;whitegrid&quot;)
    tips = sns.load_dataset(&quot;tips&quot;)
    ax = sns.boxplot(x=&quot;day&quot;, y=&quot;total_bill&quot;, data=tips)

[![Seaborn Boxplot Example][2]][2]

My question is: how do I limit the range of y-axis of this plot? For example, I want the y-axis to be within [10, 40]. Is there any easy way to do this?


  [1]: https://stanford.edu/~mwaskom/software/seaborn/generated/seaborn.boxplot.html &quot;official seaborn documentation&quot;
  [2]: http://i.stack.imgur.com/O8ALQ.png

How to set the range of y-axis for a seaborn boxplot?

From the [official seaborn documentation][1], I learned that you can create a boxplot as below:
<pre><code class="hljs language-ini">import seaborn as sns
sns.set_style("whitegrid")
tips = sns.load_dataset("tips")
ax = sns.boxplot(x="day", y="total_bill", data=tips)
</code></pre>
[![Seaborn Boxplot Example][2]][2]
My question is: how do I limit the range of y-axis of this plot? For example, I want the y-axis to be within [10, 40]. Is there any easy way to do this?
[1]: <a href="https://stanford.edu/~mwaskom/software/seaborn/generated/seaborn.boxplot.html" target="_blank" rel="noopener noreferrer">https://stanford.edu/~mwaskom/software/seaborn/generated/seaborn.boxplot.html</a> "official seaborn documentation"
[2]: <a href="http://i.stack.imgur.com/O8ALQ.png" target="_blank" rel="noopener noreferrer">http://i.stack.imgur.com/O8ALQ.png</a>

I&#39;m trying to upgrade setuptools. Well actually I&#39;m trying to upgrade ansible but it&#39;s trying to upgrade setuptools and failing. Trying to do it myself also fails. Even trying to uninstall it fails

&lt;!-- language: lang-none --&gt;

	$ sudo -H pip install --upgrade setuptools
	Collecting setuptools
	  Using cached setuptools-18.4-py2.py3-none-any.whl
	Installing collected packages: setuptools
	  Found existing installation: setuptools 1.1.6
	    Uninstalling setuptools-1.1.6:
	Exception:
	Traceback (most recent call last):
	  File &quot;/Library/Python/2.7/site-packages/pip-7.1.2-py2.7.egg/pip/basecommand.py&quot;, line 211, in main
	    status = self.run(options, args)
	  File &quot;/Library/Python/2.7/site-packages/pip-7.1.2-py2.7.egg/pip/commands/install.py&quot;, line 311, in run
	    root=options.root_path,
	  File &quot;/Library/Python/2.7/site-packages/pip-7.1.2-py2.7.egg/pip/req/req_set.py&quot;, line 640, in install
	    requirement.uninstall(auto_confirm=True)
	  File &quot;/Library/Python/2.7/site-packages/pip-7.1.2-py2.7.egg/pip/req/req_install.py&quot;, line 716, in uninstall
	    paths_to_remove.remove(auto_confirm)
	  File &quot;/Library/Python/2.7/site-packages/pip-7.1.2-py2.7.egg/pip/req/req_uninstall.py&quot;, line 125, in remove
	    renames(path, new_path)
	  File &quot;/Library/Python/2.7/site-packages/pip-7.1.2-py2.7.egg/pip/utils/__init__.py&quot;, line 315, in renames
	    shutil.move(old, new)
	  File &quot;/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/shutil.py&quot;, line 299, in move
	    copytree(src, real_dst, symlinks=True)
	  File &quot;/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/shutil.py&quot;, line 208, in copytree
	    raise Error, errors
	Error: [(&#39;/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib/__init__.py&#39;, &#39;/tmp/pip-OyTXsR-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib/__init__.py&#39;, &quot;[Errno 1] Operation not permitted: &#39;/tmp/pip-OyTXsR-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib/__init__.py&#39;&quot;), (&#39;/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib/__init__.pyc&#39;, &#39;/tmp/pip-OyTXsR-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib/__init__.pyc&#39;, &quot;[Errno 1] Operation not permitted: &#39;/tmp/pip-OyTXsR-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib/__init__.pyc&#39;&quot;), (&#39;/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib/markers.py&#39;, &#39;/tmp/pip-OyTXsR-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib/markers.py&#39;, &quot;[Errno 1] Operation not permitted: &#39;/tmp/pip-OyTXsR-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib/markers.py&#39;&quot;), (&#39;/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib/markers.pyc&#39;, &#39;/tmp/pip-OyTXsR-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib/markers.pyc&#39;, &quot;[Errno 1] Operation not permitted: &#39;/tmp/pip-OyTXsR-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib/markers.pyc&#39;&quot;), (&#39;/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib&#39;, &#39;/tmp/pip-OyTXsR-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib&#39;, &quot;[Errno 1] Operation not permitted: &#39;/tmp/pip-OyTXsR-uninstall/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/_markerlib&#39;&quot;)]

I haven&#39;t the foggiest idea what&#39;s wrong. Looking at all the files in `/System/Library/Frameworks/Python.framework/Versions/2.7/` and below every single file is owned by `root:wheel`

How can I fix it?


Upgrading setuptools on OSX El Capitan

What is the best way to get exceptions&#39; messages from components of standard library in Python?

I noticed that in some cases you can get it via `message` field like this:

    try:
      pass
    except Exception as ex:
      print(ex.message)

but in some cases (for example, in case of socket errors) you have to do something like this:


    try:
      pass
    except socket.error as ex:
      print(ex)

I wondered is there any standard way to cover most of these situations?

How to get exception message in Python properly

I want to redirect any path under `/users` to a static app.  The following view should capture these paths and serve the appropriate file (it just prints the path for this example).  This works for `/users`, `/users/604511`, and `/users/604511/action`.  Why does the path `/users/` cause a 404 error?

    @bp.route(&#39;/users&#39;)
    @bp.route(&#39;/users/&lt;path:path&gt;&#39;)
    def serve_client_app(path=None):
        return path

Trailing slash triggers 404 in Flask path rule

My `Django` project structure is:

    /proj
      /frontend
      /server
        /proj
        /app1
        /app2
      manage.py

How do I run `python manage.py startapp app_name` so that my newly created apps are within the `/server` directory? I tried running `django-admin.py startapp appname` within the `server` directory to create the app but I would end up with this error:

    $ ./manage.py runserver
    Traceback (most recent call last):
      File &quot;./manage.py&quot;, line 10, in &lt;module&gt;
        execute_from_command_line(sys.argv)
      File &quot;/Users/bli1/Development/Django/CL/cherngloong/cherngloong/lib/python2.7/site-packages/django/core/management/__init__.py&quot;, line 351, in execute_from_command_line
        utility.execute()
      File &quot;/Users/bli1/Development/Django/CL/cherngloong/cherngloong/lib/python2.7/site-packages/django/core/management/__init__.py&quot;, line 343, in execute
        self.fetch_command(subcommand).run_from_argv(self.argv)
      File &quot;/Users/bli1/Development/Django/CL/cherngloong/cherngloong/lib/python2.7/site-packages/django/core/management/__init__.py&quot;, line 177, in fetch_command
        commands = get_commands()
      File &quot;/Users/bli1/Development/Django/CL/cherngloong/cherngloong/lib/python2.7/site-packages/django/utils/lru_cache.py&quot;, line 101, in wrapper
        result = user_function(*args, **kwds)
      File &quot;/Users/bli1/Development/Django/CL/cherngloong/cherngloong/lib/python2.7/site-packages/django/core/management/__init__.py&quot;, line 72, in get_commands
        for app_config in reversed(list(apps.get_app_configs())):
      File &quot;/Users/bli1/Development/Django/CL/cherngloong/cherngloong/lib/python2.7/site-packages/django/apps/registry.py&quot;, line 137, in get_app_configs
        self.check_apps_ready()
      File &quot;/Users/bli1/Development/Django/CL/cherngloong/cherngloong/lib/python2.7/site-packages/django/apps/registry.py&quot;, line 124, in check_apps_ready
        raise AppRegistryNotReady(&quot;Apps aren&#39;t loaded yet.&quot;)
    django.core.exceptions.AppRegistryNotReady: Apps aren&#39;t loaded yet.

startapp with manage.py to create app in another directory

I&#39;m somewhat new to pandas. I have a pandas data frame that is 1 row by 23 columns.

I want to convert this into a series? I&#39;m wondering what the most pythonic way to do this is?

I&#39;ve tried `pd.Series(myResults)` but it complains `ValueError: cannot copy sequence with size 23 to array axis with dimension 1`. It&#39;s not smart enough to realize it&#39;s still a &quot;vector&quot; in math terms. 

Thanks!

Convert pandas data frame to series

Using Matplotlib, I want to plot a 2D heat map. My data is an n-by-n Numpy array, each with a value between 0 and 1. So for the (i, j) element of this array, I want to plot a square at the (i, j) coordinate in my heat map, whose color is proportional to the element&#39;s value in the array.

How can I do this?

Plotting a 2D heatmap with Matplotlib

I have used spline interpolation to smooth a time series and would also like to add a horizontal line to the plot. But there seems to be an issue that is out of my grips. Any assistance would be really helpful. Here is what I have:

    annual = np.arange(1,21,1)
    l = np.array(value_list) # a list with 20 values
    spl = UnivariateSpline(annual,l)
    xs = np.linspace(1,21,200)
    plt.plot(xs,spl(xs),&#39;b&#39;)

    plt.plot([0,len(xs)],[40,40],&#39;r--&#39;,lw=2)
    pylab.ylim([0,200])
    plt.show()

problem seems to be with my use of `[0,len(xs)]` for horizontal line plotting. 


Plot a horizontal line using matplotlib

(Mac OSX 10.10.5)

I can reproduce from the matplotlib website [mplot3d][1] the example code for a 3D scatter plot [scatter3d_demo.py][2], however the plot renders as a static image. I can not click on the graph and dynamically rotate to view the 3D plotted data. 

I have achieved the static 3D plot using the example code - using (a) ipython from within Terminal, (b) ipython notebook from within terminal, and (c) ipython notebook launched from the Anaconda launcher. 

I think I am missing some very basic step as assumed knowledge. 

In past learning, plotting has opened a GUI Python App which has a graph viewer. (Solution 2 in code shown below opens this.) Perhaps I need to know the code to export the output graph to that display method? (Yes, use %matplotlib (only) as first line without inline or notebook as shown in comments in code block below.)

As an example in ipython notebook:
        
        # These lines are comments
        # Initial setup from an online python notebook tutorial is below. 
        # Note the first line &quot;%matplotlib inline&quot; this is how the tutorial has it.
        # Two solutions 1. use: &quot;%matplotlib notebook&quot; graphs appear dynamic in the notebook.
        #               2. use: &quot;%matplotlib&quot; (only) graphs appear dynamic in separate window. 
        #    ( 2. is the best solution for detailed graphs/plots. )
        
        %matplotlib inline  
        import pandas as pd
        import numpy as np
        import matplotlib as mpl
        import matplotlib.pyplot as plt
        from mpl_toolkits.mplot3d import Axes3D

        pd.set_option(&#39;html&#39;,False)
        pd.set_option(&#39;max_columns&#39;,30)
        pd.set_option(&#39;max_rows&#39;,10)


        # What follows is a copy of the 3D plot example code.
        # Data is randomly generated so there is no external data import.
        
        def randrange(n, vmin, vmax):
            return (vmax-vmin)*np.random.rand(n) + vmin

        fig = plt.figure()
        ax = fig.add_subplot(111, projection=&#39;3d&#39;)
        n = 100
        for c, m, zl, zh in [(&#39;r&#39;, &#39;o&#39;, -60, -25), (&#39;b&#39;, &#39;^&#39;, -30, -5)]:
            xs = randrange(n, 23, 50)
            ys = randrange(n, 0, 100)
            zs = randrange(n, zl, zh)
            ax.scatter(xs, ys, zs, c=c, marker=m)
        
        ax.set_xlabel(&#39;X Label&#39;)
        ax.set_ylabel(&#39;Y Label&#39;)
        ax.set_zlabel(&#39;Z Label&#39;)
        
        plt.show()


Can someone identify what I am missing?

Looking at Python 3.3.6 documentation, section 25.1perhaps the tkinter package ...

&gt; The tkinter package (“Tk interface”) is the standard Python interface to the Tk GUI toolkit. Both Tk and tkinter are available on most Unix platforms, as well as on Windows systems.

I think though, this relates to development of GUI programs so I am not sure this is relevant.  (Correct, this was not needed for the solution.) 


    


  [1]: https://matplotlib.org/gallery/#d-plotting
  [2]: https://matplotlib.org/gallery/mplot3d/scatter3d.html#sphx-glr-gallery-mplot3d-scatter3d-py

Displaying rotatable 3D plots in IPython or Jupyter Notebook

Can someone explain to me what &quot;bins&quot; in histogram are (the [matplotlib hist][1] function)? And assuming I need to plot the probability density function of some data, how do the bins I choose influence that? and how do I choose them? (I already read about them in the [matplotlib.pyplot.hist][1] and the [numpy.histogram][2] libraries but I did not get the idea)


  [1]: http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.hist
  [2]: https://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram.html

How to choose bins in matplotlib histogram

I am trying to extract discrete colors from a matplotlib colormap by manipulating [this example][1]. However, I cannot find the `N` discrete colors that are extracted from the colormap.

In the code below I&#39;ve used `cmap._segmentdata`, but I&#39;ve found that it is the definition of the entire colormap. Given a colormap and an integer `N`, how do I extract `N` discrete colors from the colormap and export them in hex-format?

    from pylab import *
    
    delta = 0.01
    x = arange(-3.0, 3.0, delta)
    y = arange(-3.0, 3.0, delta)
    X,Y = meshgrid(x, y)
    Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
    Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
    Z = Z2 - Z1 # difference of Gaussians
    
    cmap = cm.get_cmap(&#39;seismic&#39;, 5)    # PiYG
    cmap_colors = cmap._segmentdata
    
    def print_hex(r,b,g):
                   if not(0 &lt;= r &lt;= 255 or 0 &lt;= b &lt;= 255 or 0 &lt;= g &lt;= 255):
                                  raise ValueError(&#39;rgb not in range(256)&#39;)
                   print &#39;#%02x%02x%02x&#39; % (r, b, g)
    
    
    for i in range(len(cmap_colors[&#39;blue&#39;])):
                   r = int(cmap_colors[&#39;red&#39;][i][2]*255)
                   b = int(cmap_colors[&#39;blue&#39;][i][2]*255)
                   g = int(cmap_colors[&#39;green&#39;][i][2]*255)
                   print_hex(r, g, b)
    
    
    
    im = imshow(Z, cmap=cmap, interpolation=&#39;bilinear&#39;,
                vmax=abs(Z).max(), vmin=-abs(Z).max())
    axis(&#39;off&#39;)
    colorbar()
    
    show()


  [1]: http://matplotlib.org/1.2.1/examples/pylab_examples/poormans_contour.html

Extract matplotlib colormap in hex-format

I have a dataframe like this

    import seaborn as sns
    import pandas as pd
    %pylab inline

    df = pd.DataFrame({&#39;a&#39; :[&#39;one&#39;,&#39;one&#39;,&#39;two&#39;,&#39;two&#39;,&#39;one&#39;,&#39;two&#39;,&#39;one&#39;,&#39;one&#39;,&#39;one&#39;,&#39;two&#39;], 
                       &#39;b&#39;: [1,2,1,2,1,2,1,2,1,1], 
                       &#39;c&#39;: [1,2,3,4,6,1,2,3,4,6]})

A single boxplot is OK:

    sns.boxplot(y=&quot;b&quot;, x=&quot;a&quot;, data=df, orient=&#39;v&#39;)

But I want to build a subplot for all variables. I tried:

    names = [&#39;b&#39;, &#39;c&#39;]
    plt.subplots(1,2)
    sub = []

    for name in names:
        ax = sns.boxplot(  y=name, x= &quot;a&quot;, data=df,  orient=&#39;v&#39; )
        sub.append(ax)

but it outputs:

[![enter image description here][1]][1]


  [1]: https://i.stack.imgur.com/tEqqC.png

Subplot for seaborn boxplot

Does anyone know how to display the regression equation in seaborn using sns.regplot or sns.jointplot? regplot doesn&#39;t seem to have any parameter that you can be pass to display regression diagnostics, and jointplot only displays the pearson R^2, and p-value. I&#39;m looking for a way to see the slope coefficient, standard error, and intercept as well. 

Thanks

Display regression equation in seaborn regplot

Have a look at
[this][1]
heatmap found in the seaborn heatmap documentation.

Right now the y-axis starts with 9 at the bottom, and ends with 0 on top.
Is there a way to turn this around, i.e. start with 0 at bottom and end with 9 at the top?


  [1]: http://i.stack.imgur.com/3dVxG.png

seaborn heatmap y-axis reverse order

I&#39;m having problem placing Seaborn `Jointplot` inside a multicolumn `subplot`.

    import pandas as pd
    import seaborn as sns

    df = pd.DataFrame({&#39;C1&#39;: {&#39;a&#39;: 1,&#39;b&#39;: 15,&#39;c&#39;: 9,&#39;d&#39;: 7,&#39;e&#39;: 2,&#39;f&#39;: 2,&#39;g&#39;: 6,&#39;h&#39;: 5,&#39;k&#39;: 5,&#39;l&#39;: 8},
              &#39;C2&#39;: {&#39;a&#39;: 6,&#39;b&#39;: 18,&#39;c&#39;: 13,&#39;d&#39;: 8,&#39;e&#39;: 6,&#39;f&#39;: 6,&#39;g&#39;: 8,&#39;h&#39;: 9,&#39;k&#39;: 13,&#39;l&#39;: 15}})

    fig = plt.figure();   
    ax1 = fig.add_subplot(121);  
    ax2 = fig.add_subplot(122);

    sns.jointplot(&quot;C1&quot;, &quot;C2&quot;, data=df, kind=&#39;reg&#39;, ax=ax1)
    sns.jointplot(&quot;C1&quot;, &quot;C2&quot;, data=df, kind=&#39;kde&#39;, ax=ax2)

Notice how only a portion of the `jointplot` is placed inside the subplot and the rest left inside another two plot frames. What I&#39;d want is to have both the `distributions` also inserted inside the `subplots`. 

Can anyone help with this?

    

How to plot multiple Seaborn Jointplot in Subplot

I&#39;m starting to learn a bit of python (been using R) for data analysis. I&#39;m trying to create two plots using `seaborn`, but it keeps saving the second on top of the first. How do I stop this behavior?

    import seaborn as sns
    iris = sns.load_dataset(&#39;iris&#39;)
    
    length_plot = sns.barplot(x=&#39;sepal_length&#39;, y=&#39;species&#39;, data=iris).get_figure()
    length_plot.savefig(&#39;ex1.pdf&#39;)
    width_plot = sns.barplot(x=&#39;sepal_width&#39;, y=&#39;species&#39;, data=iris).get_figure()
    width_plot.savefig(&#39;ex2.pdf&#39;)


Stop seaborn plotting multiple figures on top of one another

I&#39;m currently trying to use Seaborn to create plots for my academic papers. The plots look great and easy to generate, but one problem that I&#39;m having some trouble with is having the fine control on the font size in the plots. 

My font size in my paper is 9pt and I would like to make sure the font size in my plots are either 9pt or 10pt. But in seaborn, the font size is mainly controlled through font scale `sns.set_context(&quot;paper&quot;, font_scale=0.9)`. So it&#39;s hard for me to find the right font size except through trial and error. Is there a more efficient way to do this?

I also want to make sure the font size is consistent between different seaborn plots. But not all my seaborn plots have the same dimension, so it seems like using the *same font_scale* on all the plots does not necessarily create the same font size across these different plots?

I&#39;ve attached my code below. I appreciate any comments on how to format the plot for a two column academic paper. My goal is to be able to control the size of the figure without distorting the font size or the plot. I use Latex to write my paper. 

    # Seaborn setting                                                                                                                                              
    sns.set(style=&#39;whitegrid&#39;, rc={&quot;grid.linewidth&quot;: 0.1})
    sns.set_context(&quot;paper&quot;, font_scale=0.9)                                                  
    plt.figure(figsize=(3.1, 3)) # Two column paper. Each column is about 3.15 inch wide.                                                                                                                                                                                                                                 
    color = sns.color_palette(&quot;Set2&quot;, 6)

    # Create a box plot for my data                                                      
    splot = sns.boxplot(data=df, palette=color, whis=np.inf,                              
            width=0.5, linewidth = 0.7)

    # Labels and clean up on the plot                                                                                                                                                                                                                                                                                              
    splot.set_ylabel(&#39;Normalized WS&#39;)                                                     
    plt.xticks(rotation=90)                                                               
    plt.tight_layout()                                                                    
    splot.yaxis.grid(True, clip_on=False)                                                 
    sns.despine(left=True, bottom=True)                                                   
    plt.savefig(&#39;test.pdf&#39;, bbox_inches=&#39;tight&#39;)                                          

Content Type	Original Author	Original Content on Stackoverflow
Question	Xin	View Question on Stackoverflow
Solution 1 - Python	Dave X	View Answer on Stackoverflow

How to set the range of y-axis for a seaborn boxplot?

Python Problem Overview

Python Solutions

Solution 1 - Python

Move whole line up/down shortcut in nano (analogue to intelliJ or Visual Studio)

How to properly add 1 month from now to current date in moment.js

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