[Python] ValueError: zero-size array to reduction operation maximum which has no identity in...

I'm trying to fit a Structural Vector Autoregression (SVAR) model using statsmodels in Python, but I'm encountering the following error ValueError: zero-size array to reduction operation maximum which has no identity.

There is my code:

import pandas as pd
import numpy as np
from statsmodels.tsa.vector_ar.svar_model import SVAR

df_sample = pd.DataFrame(
{
'Product_1': np.random.rand(240) * 10000,
'Product_2': np.random.rand(240) * 10000,
'Product_3': np.random.rand(240) * 10000
},
index=pd.date_range(start='2019-11-16', periods=240, freq='W-SAT'))

A = np.array([
[1, 0, 0],
[np.nan, 1, 0],
[np.nan, np.nan, 1]
], dtype='U')

# Fit SVAR
model = SVAR(df_sample, svar_type='A', A=A)
res = model.fit(maxlags=4)

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