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Window

Rolling functionality is documented in pandas.DataFrame.rolling.

pd.core.window.rolling.Rolling.count

  • pandas.core.window.rolling.Rolling.count()

    Example Usage

    >>> @bodo.jit
... def f(I):
...   df = pd.DataFrame({"A": [1,2,3,4,5], "B": [6,7,None,9,10]})
...   return df.rolling(3).count()
  A    B
0  1.0  1.0
1  2.0  2.0
2  3.0  3.0
3  3.0  2.0
4  3.0  2.0
5  3.0  2.0
6  3.0  3.0

pd.core.window.rolling.Rolling.sum

  • pandas.core.window.rolling.Rolling.sum(engine=None, engine_kwargs=None)

    Supported Arguments: None

    Example Usage

    >>> @bodo.jit
... def f(I):
...   df = pd.DataFrame({"A": [1,2,3,4,5,6,7], "B": [8,9,10,None,11,12,13]})
...   return df.rolling(3).sum()
    A     B
0   NaN   NaN
1   NaN   NaN
2   6.0  27.0
3   9.0   NaN
4  12.0   NaN
5  15.0   NaN
6  18.0  36.0

pd.core.window.rolling.Rolling.mean

  • pandas.core.window.rolling.Rolling.mean(engine=None, engine_kwargs=None)

    Supported Arguments: None

    Example Usage

    >>> @bodo.jit
... def f(I):
...   df = pd.DataFrame({"A": [1,2,3,4,5,6,7], "B": [8,9,10,None,11,12,13]})
...   return df.rolling(3).mean()
  A     B
0  NaN   NaN
1  NaN   NaN
2  2.0   9.0
3  3.0   NaN
4  4.0   NaN
5  5.0   NaN
6  6.0  12.0

pd.core.window.rolling.Rolling.median

  • pandas.core.window.rolling.Rolling.median(engine=None, engine_kwargs=None)

    Supported Arguments: None

    Example Usage

    >>> @bodo.jit
... def f(I):
...   df = pd.DataFrame({"A": [1,2,3,4,5,6,7], "B": [8,9,10,None,11,12,13]})
...   return df.rolling(3).median()
  A     B
0  NaN   NaN
1  NaN   NaN
2  2.0   9.0
3  3.0   NaN
4  4.0   NaN
5  5.0   NaN
6  6.0  12.0

pd.core.window.rolling.Rolling.var

  • pandas.core.window.rolling.Rolling.var(ddof=1)

    Supported Arguments: None

    Example Usage

    >>> @bodo.jit
... def f(I):
...   df = pd.DataFrame({"A": [1,2,3,4,5,6,7], "B": [8,9,10,None,11,12,13]})
...   return df.rolling(3).var()
  A    B
0  NaN  NaN
1  NaN  NaN
2  1.0  1.0
3  1.0  NaN
4  1.0  NaN
5  1.0  NaN
6  1.0  1.0

pd.core.window.rolling.Rolling.std

  • pandas.core.window.rolling.Rolling.std(ddof=1)

    Supported Arguments: None

    Example Usage

    >>> @bodo.jit
... def f(I):
...   df = pd.DataFrame({"A": [1,2,3,4,5,6,7], "B": [8,9,10,None,11,12,13]})
...   return df.rolling(3).std()
  A    B
0  NaN  NaN
1  NaN  NaN
2  1.0  1.0
3  1.0  NaN
4  1.0  NaN
5  1.0  NaN
6  1.0  1.0

pd.core.window.rolling.Rolling.min

  • pandas.core.window.rolling.Rolling.min(engine=None, engine_kwargs=None)

    Supported Arguments: None

    Example Usage

    >>> @bodo.jit
... def f(I):
...   df = pd.DataFrame({"A": [1,2,3,4,5,6,7], "B": [8,9,10,None,11,12,13]})
...   return df.rolling(3).min()
  A     B
0  NaN   NaN
1  NaN   NaN
2  1.0   8.0
3  2.0   NaN
4  3.0   NaN
5  4.0   NaN
6  5.0  11.0

pd.core.window.rolling.Rolling.max

  • pandas.core.window.rolling.Rolling.max(engine=None, engine_kwargs=None)

    Supported Arguments: None

    Example Usage

    >>> @bodo.jit
... def f(I):
...   df = pd.DataFrame({"A": [1,2,3,4,5,6,7], "B": [8,9,10,None,11,12,13]})
...   return df.rolling(3).max()
  A     B
0  NaN   NaN
1  NaN   NaN
2  3.0  10.0
3  4.0   NaN
4  5.0   NaN
5  6.0   NaN
6  7.0  13.0

pd.core.window.rolling.Rolling.corr

  • pandas.core.window.rolling.Rolling.corr(other=None, pairwise=None, ddof=1)

    Supported Arguments

    • other: DataFrame or Series (cannot contain nullable Integer Types)
      • Required
      • If called with a DataFrame, other must be a DataFrame. If called with a Series, other must be a Series.

    Example Usage

    >>> @bodo.jit
... def f(I):
...   df1 = pd.DataFrame({"A": [1,2,3,4,5,6,7]})
...   df2 = pd.DataFrame({"A": [1,2,3,4,-5,-6,-7]})
...   return df1.rolling(3).corr(df2)
        A
0       NaN
1       NaN
2  1.000000
3  1.000000
4 -0.810885
5 -0.907841
6 -1.000000

pd.core.window.rolling.Rolling.cov

  • pandas.core.window.rolling.Rolling.cov(other=None, pairwise=None, ddof=1)

    Supported Arguments

    • other: DataFrame or Series (cannot contain nullable Integer Types)
      • Required
      • If called with a DataFrame, other must be a DataFrame. If called with a Series, other must be a Series.

    Example Usage

    >>> @bodo.jit
... def f(I):
...   df1 = pd.DataFrame({"A": [1,2,3,4,5,6,7]})
...   df2 = pd.DataFrame({"A": [1,2,3,4,-5,-6,-7]})
...   return df1.rolling(3).cov(df2)
  A
0  NaN
1  NaN
2  1.0
3  1.0
4 -4.0
5 -5.0
6 -1.0

pd.core.window.rolling.Rolling.%%apply

  • pandas.core.window.rolling.apply(func, raw=False, engine=None, engine_kwargs=None, args=None, kwargs=None)

    Supported Arguments

    • func: JIT function or callable defined within a JIT function
      • Must be constant at Compile Time
    • raw: boolean
      • Must be constant at Compile Time

    Example Usage

    >>> @bodo.jit
... def f(I):
...   df = pd.DataFrame({"A": [1,2,3,4,-5,-6,-7]})
...   return df.rolling(3).apply(lambda x: True if x.sum() > 0 else False)
  A
0  NaN
1  NaN
2  1.0
3  1.0
4  1.0
5  0.0
6  0.0