Plot correlation matrix using pandas

Question

I am having difficulty analyzing the correlation matrix as the database has many features.  I want to plot a correlation matrix that we get using a dataframe.corr() function from the panda's library. How can I do this?

Answer 1

Just use pyplot.matshow() from matplotlib:

import matplotlib.pyplot as plt

plt.matshow(dataframe.corr())

plt.show()

If df.corr() method ignores non-numerical columns, use .select_dtypes(['number']) when defining the x and y labels to avoid an unwanted shift of the labels.

Code : 

f = plt.figure(figsize=(19, 15))

plt.matshow(df.corr(), fignum=f.number)

plt.xticks(range(df.select_dtypes(['number']).shape[1]), df.select_dtypes(['number']).columns, fontsize=14, rotation=45)

plt.yticks(range(df.select_dtypes(['number']).shape[1]), df.select_dtypes(['number']).columns, fontsize=14)

cb = plt.colorbar()

cb.ax.tick_params(labelsize=14)

plt.title('Correlation Matrix', fontsize=16);

I hope this helps.