import preprocessing

import matplotlib.pyplot as plt

import seaborn as sns

sns.set(style="ticks", color_codes=True)

sns.set_style("whitegrid")

sns.set_context("poster")

def show_data():

    """

    Plots features pairwise, of the following set:

    - average allelic fraction

    - hematocrit

    - platelet

    - white blood cell count

    - hemoglobin

    - age

    """

    # Preprocessing

    aml_data = preprocessing.load_csv()

    preprocessing.fill_missing_values(aml_data)

    preprocessing.add_total_genes(aml_data)

    # Delete gene columns

    for column in aml_data.columns:

        if 'Gene.' in column:

            del aml_data[column]

    # Plot pairwise

    sns.set(style='whitegrid')

    cols = ['caseflag', 'Total.Genes', 'Age', 'WBC', 'PLATELET', 'HEMOGLBN', 'HEMATOCR']

    sns.pairplot(aml_data[cols],

                 hue='caseflag',  # different caseflags have different colors

                 markers=['.', r'$+$'],  # markers

                 plot_kws={"s": 250},  # marker size (100 default)

                 size=5.0)  # size of each subplot

    plt.show()