Styling a heat map of correlations

This is an example of styling a heat map for showing correlations between variables. The correlation between variables is obtained as the Pearson correlation coefficient.

from matplotlib import pyplot as plt
import pandas as pd
from sklearn.datasets import load_wine as load_data
from psynlig import plot_correlation_heatmap
plt.style.use('ggplot')


data_set = load_data()
data = pd.DataFrame(data_set['data'], columns=data_set['feature_names'])

kwargs = {
    'text': {
        'fontsize': 'large',
    },
    'heatmap': {
        'vmin': -1,
        'vmax': 1,
        'cmap': 'magma',
    },
    'figure': {'figsize': (14, 10)},
}

plot_correlation_heatmap(data, textcolors=['white', 'black'], **kwargs)
plt.show()