Seaborn plots not showing up

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暖寄归人
暖寄归人 2020-11-27 09:54

I\'m sure I\'m forgetting something very simple, but I cannot get certain plots to work with Seaborn.

If I do:

import seaborn as sns
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  • 2020-11-27 10:17

    To avoid confusion (as there seems to be some in the comments). Assuming you are on Jupyter:

    %matplotlib inline > displays the plots INSIDE the notebook

    sns.plt.show() > displays the plots OUTSIDE of the notebook

    %matplotlib inline will OVERRIDE sns.plt.show() in the sense that plots will be shown IN the notebook even when sns.plt.show() is called.

    And yes, it is easy to include the line in to your config:

    Automatically run %matplotlib inline in IPython Notebook

    But it seems a better convention to keep it together with imports in the actual code.

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  • 2020-11-27 10:18

    Plots created using seaborn need to be displayed like ordinary matplotlib plots. This can be done using the

    plt.show()
    

    function from matplotlib.

    Originally I posted the solution to use the already imported matplotlib object from seaborn (sns.plt.show()) however this is considered to be a bad practice. Therefore, simply directly import the matplotlib.pyplot module and show your plots with

    import matplotlib.pyplot as plt
    plt.show()
    

    If the IPython notebook is used the inline backend can be invoked to remove the necessity of calling show after each plot. The respective magic is

    %matplotlib inline
    
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  • 2020-11-27 10:26

    This worked for me

    import matplotlib.pyplot as plt
    import seaborn as sns
    .
    .
    .
    plt.show(sns)
    
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  • 2020-11-27 10:27

    My advice is just to give a

    plt.figure() and give some sns plot. For example

    sns.distplot(data).

    Though it will look it doesnt show any plot, When you maximise the figure, you will be able to see the plot.

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  • 2020-11-27 10:31

    If you plot in IPython console (where you can't use %matplotlib inline) instead of Jupyter notebook, and don't want to run plt.show() repeatedly, you can start IPython console with ipython --pylab:

    $ ipython --pylab     
    Python 3.6.6 |Anaconda custom (64-bit)| (default, Jun 28 2018, 17:14:51) 
    Type 'copyright', 'credits' or 'license' for more information
    IPython 7.0.1 -- An enhanced Interactive Python. Type '?' for help.
    Using matplotlib backend: Qt5Agg
    
    In [1]: import seaborn as sns
    
    In [2]: tips = sns.load_dataset("tips")
    
    In [3]: sns.relplot(x="total_bill", y="tip", data=tips) # you can see the plot now
    
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  • 2020-11-27 10:38

    I come to this question quite regularly and it always takes me a while to find what I search:

    import seaborn as sns
    import matplotlib.pyplot as plt
    
    plt.show()  # <--- This is what you are looking for
    

    Please note: In Python 2, you can also use sns.plt.show(), but not in Python 3.

    Complete Example

    #!/usr/bin/env python
    # -*- coding: utf-8 -*-
    
    """Visualize C_0.99 for all languages except the 10 with most characters."""
    
    import seaborn as sns
    import matplotlib.pyplot as plt
    
    l = [41, 44, 46, 46, 47, 47, 48, 48, 49, 51, 52, 53, 53, 53, 53, 55, 55, 55,
         55, 56, 56, 56, 56, 56, 56, 57, 57, 57, 57, 57, 57, 57, 57, 58, 58, 58,
         58, 59, 59, 59, 59, 59, 59, 59, 59, 60, 60, 60, 60, 60, 60, 60, 60, 61,
         61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 62, 62, 62, 62, 62, 62, 62, 62,
         62, 63, 63, 63, 63, 63, 63, 63, 63, 63, 64, 64, 64, 64, 64, 64, 64, 65,
         65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 66, 66, 66, 66, 66, 66, 66,
         67, 67, 67, 67, 67, 67, 67, 67, 68, 68, 68, 68, 68, 69, 69, 69, 70, 70,
         70, 70, 71, 71, 71, 71, 71, 72, 72, 72, 72, 73, 73, 73, 73, 73, 73, 73,
         74, 74, 74, 74, 74, 75, 75, 75, 76, 77, 77, 78, 78, 79, 79, 79, 79, 80,
         80, 80, 80, 81, 81, 81, 81, 83, 84, 84, 85, 86, 86, 86, 86, 87, 87, 87,
         87, 87, 88, 90, 90, 90, 90, 90, 90, 91, 91, 91, 91, 91, 91, 91, 91, 92,
         92, 93, 93, 93, 94, 95, 95, 96, 98, 98, 99, 100, 102, 104, 105, 107, 108,
         109, 110, 110, 113, 113, 115, 116, 118, 119, 121]
    
    sns.distplot(l, kde=True, rug=False)
    
    plt.show()
    

    Gives

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