pd.core.groupby.Groupby.rolling

pandas.core.groupby.Groupby.rolling(window, min_periods=None, center=False, win_type=None, on=None, axis=0, closed=None, method='single')

Supported Arguments

• window: Integer, String, Datetime, Timedelta
• min_periods: Integer
• center: Boolean
• on: Column label
  • Must be constant at Compile Time

Note

This is equivalent to performing the DataFrame API on each groupby. All operations of the rolling API can be used with groupby.

Example Usage

>>> @bodo.jit
... def f(df):
...     return df.groupby("B").rolling(2).mean
>>> df = pd.DataFrame(
...      {
...          "A": [1, 2, 24, None] * 5,
...          "B": ["421", "f31"] * 10,
...          "C": [1.51, 2.421, 233232, 12.21] * 5
...      }
... )
>>> f(df)

           A            C
B
421 0    NaN          NaN
    2    NaN          NaN
    4   12.5  116616.7550
    6    NaN       7.3155
    8   12.5  116616.7550
    10   NaN       7.3155
    12  12.5  116616.7550
    14   NaN       7.3155
    16  12.5  116616.7550
    18   NaN       7.3155
f31 1   12.5  116616.7550
    3    NaN       7.3155
    5   12.5  116616.7550
    7    NaN       7.3155
    9   12.5  116616.7550
    11   NaN       7.3155
    13  12.5  116616.7550
    15   NaN       7.3155
    17  12.5  116616.7550
    19   NaN       7.3155