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Great plot libraries
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.. topic:: Introduction

     few notes on some great plotting libraries.
    
Matplotlib
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Matplotlib: main functions
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For figure printing, this allows to automatically crop the figure so that only used space is printed:

.. sourcecode:: python

  fig.savefig('2016.png',dpi=600, bbox_inches='tight') 

Here is the DataCamp Cheat Sheet:  
  
.. figure:: Cheatsheets/Matplotlib_Cheat_Sheet.png
   :scale: 100 %
   :alt: map to buried treasure

   This plot is taken from DataCamp.
   
     

The Swarbee plot of seaborn
--------------------------------------------

.. sourcecode:: python

  import matplotlib.pyplot as plt
  import seaborn as sns
  from sklearn.datasets import load_iris
  import pandas as pd
  import numpy as np

  iris = load_iris()

  df = pd.DataFrame(data= np.c_[iris['data'], iris['target']],
                     columns= iris['feature_names'] + ['species'])

  # Create bee swarm plot with Seaborn's default settings
  sns.swarmplot(x='species',y='petal length (cm)',data=df)
  plt.xlabel('species')
  plt.ylabel('length')
  plt.show()
  
  
.. figure:: Images/Swarbee_plot.png
   :scale: 100 %
   :alt: map to buried treasure

   This plot is taken from DataCamp.

   
   
Computation of PDF and CDF plots (having only PDF)
--------------------------------------------------------------------   

Here I don't have the data behind, but it is roughly a dataframe with a PDF called df['fraction']. We want a multiplot with both PDF and CDF.

.. sourcecode:: python

  # This formats the plots such that they appear on separate rows
  fig, axes = plt.subplots(nrows=2, ncols=1)

  # Plot the PDF
  df.fraction.plot(ax=axes[0], kind='hist', bins=30, normed=True, range=(0,.3))
  plt.show()

  # Plot the CDF
  df.fraction.plot(ax=axes[1], kind='hist', bins=30, normed=True, cumulative=True, range=(0,.3))
  plt.show()
  
And the output is:  

.. figure:: Images/PDF_CDF.png
   :scale: 100 %
   :alt: map to buried treasure

   This plot is taken from DataCamp.  


     
    
Plotly and Dash
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Installation
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.. sourcecode:: python

  conda install -c conda-forge dash-renderer
  conda install -c conda-forge dash 
  conda install -c conda-forge dash-html-components 
  conda install -c conda-forge dash-core-components
  conda install -c conda-forge plotly