Prince FAMD unable to transform data (shapes not aligned:(dim 1) != (dim 0)) - pca

Question

I'm using prince to perform Factor Analysis of Mixed Data (FAMD). During training everything goes as planned, but when I try to transform new data, I get an error (shapes not aligned:(dim 1) != (dim 0)).
I've seen people claiming to have this problem before and they claim the problem is that they're trying to transform data from a test set, but I tried different approaches and I still get this error. Let me describe my situation:
My dataset has some 500k rows and some 20 columns.
Originally, I separated the dataset into a train(80%) and test(20%) and everything worked fine
The problem appears when I try to transform a small subset of the data
When I try transforming less than 100 rows, I get the aforementioned error
Between 100 and 2000 rows, there's no error, but the output is all nan
Over 2000 rows it works properly
Does anyone know how to fix this? I think it may be some issue with matrix rank, but right now I'm clueless
Here's the error message
ValueError Traceback (most recent call
last) in
----> 7 famd.transform(c)
\site-packages\prince\mfa.py in
transform(self, X)
135 def transform(self, X):
136 """Returns the row principal coordinates of a dataset."""
--> 137 return self.row_coordinates(X)
138
139 def _row_coordinates_from_global(self, X_global):
\site-packages\prince\mfa.py in
row_coordinates(self, X)
152 X = self._prepare_input(X)
153
--> 154 return self._row_coordinates_from_global(self._build_X_global(X))
155
156 def row_contributions(self, X):
\site-packages\prince\mfa.py in
_row_coordinates_from_global(self, X_global)
139 def _row_coordinates_from_global(self, X_global):
140 """Returns the row principal coordinates."""
--> 141 return len(X_global) ** 0.5 * super().row_coordinates(X_global)
142
143 def row_coordinates(self, X):
\site-packages\prince\pca.py in
row_coordinates(self, X)
136 X = self.scaler_.transform(X)
137
--> 138 return pd.DataFrame(data=X.dot(self.V_.T), index=index, dtype=np.float64)
139
140 def row_standard_coordinates(self, X):
ValueError: shapes (100,41) and (43,10) not aligned: 41 (dim 1) != 43
(dim 0)