Asking this question mostly to people who use google trends, although it is quite a generic one.
My code in Google Trends returns a df such as the one below.
1 2 3
Spain isPartial France isPartial Italy isPartial
date
2020-10-11 41 False 37 False 25 False
2020-10-18 40 False 39 False 23 False
2020-10-25 42 True 43 True 25 True
Naturally, I have tried many ways to delete the last row, in case it contains True.
1) df2 = df[~df['isPartial].str.contains('True')] --> AttributeError: 'DataFrame' object has no attribute 'str'
2) df2 = df[~df.eq('True').any(1)] --> does nothing
3) df2 = df.[~[df[.iloc[:,1]].str.contains('True')] --> AttributeError: 'list' object has no attribute 'str'
What should I do?
Thank you.
Use DataFrame.xs for select by second level of MultiIndex in columns:
df1 = df[~df.xs('isPartial', axis=1, level=1).any(1)]
print (df1)
1 2 3
Spain isPartial France isPartial Italy isPartial
date
2020-10-11 41 False 37 False 25 False
2020-10-18 40 False 39 False 23 False
Detail:
print (df.xs('isPartial', axis=1, level=1))
1 2 3
date
2020-10-11 False False False
2020-10-18 False False False
2020-10-25 True True True