pythonpandasmulti-index
Slice groupby.describe dataframe
I have a dataframe that looks like the following:
I'd like to take all of the outer index, and only the mean and std from the inner index.
I attempted to use idx = pd.IndexSlice in the following ways:
desc_df.loc[idx[:]] yields the entire dataframe
desc_df.loc[idx[3:4,:]] yields only index 3 and 4
desc_df.loc[idx[3:4,'mean']] fails with mean is no in the columns
desc_df.loc[idx[(3:4,'mean')]] fails...etc
How do I execute my desired use case?
Solution
idx = pd.IndexSlice
df.loc[idx[:, ['mean', 'std']], :]
#| | | |
#| | | All columns
#| | |
#| | 'mean' and 'std' locs of 1st level
#| |
#| Everything 0th level
#|
#Slice row index
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