16 февр. 2017 г. · In your case, the index equals to integer position. Thus you can use either .loc or .iloc . .loc is primarily label based.

30 нояб. 2016 г. · If I were you I would use the simpler method: df['2015-11-17']. in my opinion this would be more 'pandas logic' than using .loc[] for a ...

18 июл. 2018 г. · You can index by Name and then use pd.DataFrame.at for fast scalar access: df = df.set_index('Name') res = df.at['5B', 'Values'] # also ...

4 июн. 2019 г. · I'm having trouble using boolean indexing from pandas query for dataframes with double column index. I have the following dataframe: df2 = val1 ...

19 сент. 2017 г. · How to use Pandas.DataFrame query method for index of datetime or period type? · python · pandas · datetime · dataframe · period.

29 июл. 2013 г. · To query the df by the MultiIndex values, for example where (A > 1.7) and (B < 666):

28 авг. 2019 г. · I am performing a query on a DataFrame: Index Category 1 Foo 2 Bar 3 Cho 4 Foo. I would like to return the rows where the category is "Foo ...

11 апр. 2022 г. · Call the index after df.query with get_indexer: [*df.index.get_indexer(df.query("Col1 > 5").index)].

14 июл. 2016 г. · You can use loc : In [11]: meanscore Out[11]: score name John 95.0 Mary 87.5 Suzie 90.0 In [12]: meanscore.loc["John", "score"] Out[12]: ...

18 мар. 2015 г. · Use isin on the index and invert the boolean index to perform label selection: In [239]: df = pd.DataFrame({'a':np.random.randn(5)}) df ...