import light_famdfrom light_famd import PCAimport pandas as pdimport numpy as npX_n = pd.DataFrame(data=np.random.randint(0,100,size=(10,2)),columns=list('AB'))X_c =pd.DataFrame(np.random.choice(list('abcde'),size=(10,4),replace=True),columns =list('CDEF'))X=pd.concat([X_n,X_c],axis=1)famd = light_famd.FAMD(n_components=2)famd.fit(X)
After running this it shows following error.
TypeError: SparseDataFrame() takes no arguments
It looks like because of the latest pandas version incompatibility. Do you have any plans to update the package?
import light_famd
from light_famd import PCA
import pandas as pd
import numpy as np
X_n = pd.DataFrame(data=np.random.randint(0,100,size=(10,2)),columns=list('AB'))
X_c =pd.DataFrame(np.random.choice(list('abcde'),size=(10,4),replace=True),columns =list('CDEF'))
X=pd.concat([X_n,X_c],axis=1)
famd = light_famd.FAMD(n_components=2)
famd.fit(X)
After running this it shows following error.TypeError: SparseDataFrame() takes no arguments
It looks like because of the latest pandas version incompatibility. Do you have any plans to update the package?