I have the following code:
omgangar = (matcher[
(matcher['rank'] >= 1) &
(matcher['rank'] <= 1) &
(matcher['odds'] >= oddsrank1) &
(matcher['odds'] <= oddsrank1)]
['omg'].value_counts() == 1)
which returns following output:
3296 False
3985 False
2937 True
2984 True
3231 True
Name: omg, dtype: bool
Desired output is to only receive the omg
which has True bool to a list:
[2937, 2984, 3231]
I've tried some code but it only throws error. Any advice?
CodePudding user response:
IIUC, If you have this:
>>> omgangar = [3296, 3985, 2937, 2984, 3231]
>>> omgangar = pd.Series([False, False, True, True, True], index=omgangar)
>>> omgangar
3296 False
3985 False
2937 True
2984 True
3231 True
dtype: bool
You can try this:
>>> omgangar[omgangar].index.tolist()
[2937, 2984, 3231]