Plot the correlation matrix (Spearman's) of values within the dataframe

df_correlation.py

import numpy as np

def plot_correlation(dataframe, title='', corr_type=''):
    lang_names = dataframe.columns.tolist()
    tick_indices = np.arange(0.5, len(lang_names) + 0.5)
    plt.figure(figsize=(12,7))
    plt.pcolor(dataframe.values, cmap='RdBu', vmin=-1, vmax=1)
    colorbar = plt.colorbar()
    colorbar.set_label(corr_type)
    plt.title(title)
    plt.xticks(tick_indices, lang_names, rotation='vertical')
    plt.yticks(tick_indices, lang_names)

spearman_corr = data.corr(method='spearman')
plot_correlation(
    spearman_corr,
    title='Predictors Correlation',
    corr_type='Spearman\'s Rank Correlation')