.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "_examples\visualization\plot_piechart_biomarker.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download__examples_visualization_plot_piechart_biomarker.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr__examples_visualization_plot_piechart_biomarker.py:


Piechart Biomarkers
===================

.. GENERATED FROM PYTHON SOURCE LINES 5-142



.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /_examples/visualization/images/sphx_glr_plot_piechart_biomarker_001.png
         :alt: plot piechart biomarker
         :srcset: /_examples/visualization/images/sphx_glr_plot_piechart_biomarker_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /_examples/visualization/images/sphx_glr_plot_piechart_biomarker_002.png
         :alt: plot piechart biomarker
         :srcset: /_examples/visualization/images/sphx_glr_plot_piechart_biomarker_002.png
         :class: sphx-glr-multi-img





.. code-block:: default
   :lineno-start: 6


    from __future__ import division

    # Libraries.
    import sys
    import numpy as np
    import pandas as pd
    import seaborn as sns
    import matplotlib as mpl
    import matplotlib.cm as cm
    import matplotlib.pyplot as plt

    # Matplotlib font size configuration.
    mpl.rcParams['font.size'] = 9.0

    # ------------------------------------------------------------------------
    #                            HELPER METHODS
    # ------------------------------------------------------------------------
    def transparency(cmap, alpha):
        """
        """
        for i,rgb in enumerate(cmap):
            cmap[i] = rgb + (alpha,)
        return cmap

    # ------------------------------------------------------------------------
    #                            CONFIGURATION
    # ------------------------------------------------------------------------
    # Common configuration.
    title_font_size = 30
    labels = ['CRP','ALT','BIL','ALP','CRE','WBC']    # labels
    labels_empty = ['', '', '', '', '', '']           # labels empty
    colors = transparency(sns.color_palette("Set2", desat=0.75, n_colors=7), 0.5)
    explode = (0,0,0,0,0,0)   # proportion with which to offset each wedge
    autopct = '%1.0f%%'       # print values inside the wedges  
    pctdistance = 0.4         # ratio betwen center and text (default=0.6)
    labeldistance = 0.7       # radial distance wich pie labels are drawn
    shadow = False            # shadow
    startangle = 90           # rotate piechart (default=0)
    radius = 1                # size of piechart (default=1)
    counterclock = False      # fractions direction.
    center = (0,0)            # center position of the chart.
    frame = False             # plot axes frame with the pie chart.

    # map with arguments for the text objects.
    textprops = {'fontsize':'x-large'}

    # map with arguments for the wedge objects.           
    wedgeprops = {}

    # Color manually selected 
    colors_manual = ['mediumpurple',  
                     'violet',                           
                     'mediumaquamarine',
                     'lightskyblue', 
                     'lightsalmon',
                     'indianred'] 




    # -------------------------------------------------------------------------
    #                              FIGURE 1
    # -------------------------------------------------------------------------
    # Number of pathology laboratory data for each of the selected biochemical
    # markers (ALP, ALT, BIL, CRE, CRP, WBC) for the non-infection category
    # during the years 2014 and 2015.

    # Portions.
    sizes = [11, 15, 16, 17, 19, 21]               # Add proportions

    # reset feature
    startangle = 130

    # Plot.
    plt.figure()
    plt.pie(sizes,             
            explode=explode,     
            labels=labels,   # Use: labels / labels_empty   
            colors=colors,   # Use: colors / colors_manual 
            autopct=autopct,   
            pctdistance=pctdistance,
            labeldistance=labeldistance,
            shadow=shadow,       
            startangle=startangle,
            radius=radius,
            counterclock=counterclock,
            center=center,
            frame=frame,
            textprops=textprops,
            wedgeprops={'linewidth':0.35,
                        'edgecolor':'k'})
    # Format figure.
    plt.axis('equal')
    plt.tight_layout()
    plt.title("", fontsize=title_font_size)          # Add title.
    #plt.legend(labels=labels, fontsize='xx-large')  # Add legend.

    # -------------------------------------------------------------------------
    #                              FIGURE 2
    # -------------------------------------------------------------------------
    # Number of pathology laboratory data for each of the selected biochemical
    # markers (ALP, ALT, BIL, CRE, CRP, WBC) for the infection category
    # during the years 2014 and 2015. ['CRP','ALP','BIL','ALT','CRE','WBC']

    # Portions
    sizes = [18, 13, 14, 15, 20, 20]                  # Add proportions

    # reset feature
    startangle = 155

    # Plot.
    plt.figure()
    plt.pie(sizes,             
            explode=explode,     
            labels=labels,               # Use: labels / labels_empty  
            colors=colors,               # Use: colors / colors_manual
            autopct=autopct,   
            pctdistance=pctdistance,
            labeldistance=labeldistance,
            shadow=shadow,       
            startangle=startangle,
            radius=radius,
            counterclock=counterclock,
            center=center,
            frame=frame,
            textprops=textprops,
            wedgeprops={'linewidth':0.35,
                        'edgecolor':'k'})

    # Format figure.
    plt.axis('equal')
    plt.tight_layout()
    plt.title("", fontsize=title_font_size)  # Add title
    #plt.legend(labels=labels)               # Add legend.

    # Show figures
    plt.show()

.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.134 seconds)


.. _sphx_glr_download__examples_visualization_plot_piechart_biomarker.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example




    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_piechart_biomarker.py <plot_piechart_biomarker.py>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_piechart_biomarker.ipynb <plot_piechart_biomarker.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_