python 怎么打印Pandas的Groupby对象？

print(df.groupby('A'))
<pandas.core.groupby.DataFrameGroupBy object at 0x05416E90>
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In Jupyter Notebook, if you do the following, it prints a nice grouped version of the object. The apply method helps in creation of a multiindex dataframe.

by = 'A'  # groupby 'by' argument
df.groupby(by).apply(lambda a: a[:])
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Output:

             A  B
A                
one   0    one  0
      1    one  1
      5    one  5
three 3  three  3
      4  three  4
two   2    two  2
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If you want the by column(s) to not appear in the output, just drop the column(s), like so.

df.groupby(by).apply(lambda a: a.drop(by, axis=1)[:])
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Output:

         B
A         
one   0  0
      1  1
      5  5
three 3  3
      4  4
two   2  2
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Here, I am not sure as to why .iloc[:] does not work instead of [:] at the end. So, if there are some issues in future due to updates (or at present), .iloc[:len(a)] also works.