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16 changes: 15 additions & 1 deletion doc/source/user_guide/groupby.rst
Original file line number Diff line number Diff line change
Expand Up @@ -488,6 +488,19 @@ column in a group of values.
animals
animals.groupby("kind").sum()

Another real-world style example using sales data:

.. ipython:: python

df = pd.DataFrame({
"Region": ["East", "West", "East", "West"],
"Sales": [250, 300, 150, 200]
})
df
df.groupby("Region")["Sales"].sum()



In the result, the keys of the groups appear in the index by default. They can be
instead included in the columns by passing ``as_index=False``.

Expand Down Expand Up @@ -1577,7 +1590,8 @@ order they are first observed.
Plotting
~~~~~~~~

Groupby also works with some plotting methods. In this case, suppose we
GroupBy also works with some plotting methods. In this case, suppose we

suspect that the values in column 1 are 3 times higher on average in group "B".


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