The source code is following. I ran example code in google colab.
import pandas as pd
from causalimpact import CausalImpact
data = pd.read_csv('https://raw.githubusercontent.com/WillianFuks/tfcausalimpact/master/tests/fixtures/comparison_data.csv', index_col=['DATE'])
pre_period = ['2019-04-16', '2019-07-14']
post_period = ['2019-7-15', '2019-08-01']
ci = CausalImpact(data, pre_period, post_period)
pd.version
1.5.2
print(ci.summary())
AttributeError Traceback (most recent call last)
in
----> 1 print(ci.summary())
/usr/local/lib/python3.8/dist-packages/causalimpact/analysis.py in summary(self, output, width, path)
727 confidence = "{}%".format(int((1 - alpha) * 100))
728 post_period = self.params["post_period"]
--> 729 post_inf = self.inferences.loc[post_period[0] : post_period[1], :]
730 post_point_resp = post_inf.loc[:, "response"]
731 post_point_pred = post_inf.loc[:, "point_pred"]
AttributeError: 'NoneType' object has no attribute 'loc'