Context
I am currently processing some data and encountered a problem. I would like to filter a Pandas DataFrame using Values from a Series. However, this always throws the following Error:
ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
Code
# DataFrame userID (Int) | startTS (Int) | endTS (Int) | placeID (String) # Group Data into Subgroups, one for each User. stayGroup = stayData.groupby('userID') for userID, data in stayGroup: for index, row in data.iterrows(): # Stays starting during this Stay. staysA = data[row['startTS'] < data['startTS'] < row['endTS']] # Stays ending during this Stay. staysB = data[row['startTS'] < data['endTS'] < row['endTS']] # Stays starting before and ending after this Stay. staysC = data[(row['startTS'] >= data['startTS']) & (row['endTS'] <= data['endTS'])]
Question
Does anyone have an idea what’s this error means and how I can solve it? Thanks a lot for your assistance in advance!
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Answer
Problem is row['startTS'] < data['startTS'] < row['endTS']
, you can use
data['startTS'].between(row['startTS'], row['endTS'], inclusive='neither') # or (row['startTS'] < data['startTS']) & (df['startTS'] < row['endTS'])