CA fit - TypeError: No loop matching the specified signature and casting was found for ufunc true_divide

I get a TypeError using CA or MCA from the examples posted in the repository

pd.set_option('display.float_format', lambda x: '{:.6f}'.format(x))
X = pd.DataFrame(
    data=[
    [326, 38, 241, 110, 3],
    [688, 116, 584, 188, 4],
    [343, 84, 909, 412, 26],
    [98, 48, 403, 681, 85]
    ],
    columns=pd.Series(['Fair', 'Red', 'Medium', 'Dark', 'Black']),
    index=pd.Series(['Blue', 'Light', 'Medium', 'Dark'])
)

ca = prince.CA( n_components=2, n_iter=3, copy=True, check_input=True, engine='auto', random_state=42)
X.columns.rename('Hair color', inplace=True)
X.index.rename('Eye color', inplace=True)
ca = ca.fit(X)

TypeError                                 Traceback (most recent call last)
<ipython-input-25-6248e8f8c83f> in <module>
      3 X.index.rename('Eye color', inplace=True)
      4 X
----> 5 ca = ca.fit(X)

~\anaconda3\lib\site-packages\prince\ca.py in fit(self, X, y)
     43 
     44         # Compute the correspondence matrix which contains the relative frequencies
---> 45         X /= np.sum(X)
     46 
     47         # Compute row and column masses

TypeError: No loop matching the specified signature and casting was found for ufunc true_divide

[MaxHalford]

This should be fixed with version 0.7.1.

[SammieH21]

Awesome, and thank you!