Using mca package in Python

Question

Hello,

I would like to do a Multiple Correspondence Analysis (MCA) in one of the python files called "Train" following the example of the link in the first line of the code.

The file gives me a matrix but I would like to display it in a graph because the matrix does not give any indication on what percentage each variable explains the pattern.

So when I get to the second part with ax I only have errors, can you help me?

Code:

#https://stackoverflow.com/questions/48521740/using-mca-package-in-python
import pandas as pd
import prince
X=Train[Train.columns[10:54]]
mca=prince.MCA()
mca = mca.fit(X)
mca = mca.transform(X)

ax = mca.plot_coordinates(
X=X,
ax=None,
figsize=(6, 6),
show_row_points=True,
row_points_size=10,
show_row_labels=False,
show_column_points=True,
column_points_size=30,
show_column_labels=False,
legend_n_cols=1
)

ax.get_figure().savefig('images/mca_coordinates.svg')

Answer 1

Are you sure it’s the prince module you want? Because when I tried it in the code playground, it returned an error saying it wasn’t found.