@@ -4672,6 +4672,14 @@ def cumprod(self, *args, **kwargs) -> NDFrameT:
46724672 """
46734673 Cumulative product for each group.
46744674
4675+ Parameters
4676+ ----------
4677+ *args : tuple
4678+ Positional arguments to be passed to `func`.
4679+ **kwargs : dict
4680+ Additional/specific keyword arguments to be passed to the function,
4681+ such as `numeric_only` and `skipna`.
4682+
46754683 Returns
46764684 -------
46774685 Series or DataFrame
@@ -4722,6 +4730,14 @@ def cumsum(self, *args, **kwargs) -> NDFrameT:
47224730 """
47234731 Cumulative sum for each group.
47244732
4733+ Parameters
4734+ ----------
4735+ *args : tuple
4736+ Positional arguments to be passed to `func`.
4737+ **kwargs : dict
4738+ Additional/specific keyword arguments to be passed to the function,
4739+ such as `numeric_only` and `skipna`.
4740+
47254741 Returns
47264742 -------
47274743 Series or DataFrame
@@ -4776,6 +4792,14 @@ def cummin(
47764792 """
47774793 Cumulative min for each group.
47784794
4795+ Parameters
4796+ ----------
4797+ numeric_only : bool, default False
4798+ Include only `float`, `int` or `boolean` data.
4799+ **kwargs : dict, optional
4800+ Additional keyword arguments to be passed to the function, such as `skipna`,
4801+ to control whether NA/null values are ignored.
4802+
47794803 Returns
47804804 -------
47814805 Series or DataFrame
@@ -4838,6 +4862,14 @@ def cummax(
48384862 """
48394863 Cumulative max for each group.
48404864
4865+ Parameters
4866+ ----------
4867+ numeric_only : bool, default False
4868+ Include only `float`, `int` or `boolean` data.
4869+ **kwargs : dict, optional
4870+ Additional keyword arguments to be passed to the function, such as `skipna`,
4871+ to control whether NA/null values are ignored.
4872+
48414873 Returns
48424874 -------
48434875 Series or DataFrame
@@ -5134,6 +5166,32 @@ def pct_change(
51345166 """
51355167 Calculate pct_change of each value to previous entry in group.
51365168
5169+ Parameters
5170+ ----------
5171+ periods : int, default 1
5172+ Periods to shift for calculating percentage change. Comparing with
5173+ a period of 1 means adjacent elements are compared, whereas a period
5174+ of 2 compares every other element.
5175+
5176+ fill_method : FillnaOptions or None, default None
5177+ Specifies how to handle missing values after the initial shift
5178+ operation necessary for percentage change calculation. Users are
5179+ encouraged to handle missing values manually in future versions.
5180+ Valid options are:
5181+ - A FillnaOptions value ('ffill', 'bfill') for forward or backward filling.
5182+ - None to avoid filling.
5183+ Note: Usage is discouraged due to impending deprecation.
5184+
5185+ limit : int or None, default None
5186+ The maximum number of consecutive NA values to fill, based on the chosen
5187+ `fill_method`. Address NaN values prior to using `pct_change` as this
5188+ parameter is nearing deprecation.
5189+
5190+ freq : str, pandas offset object, or None, default None
5191+ The frequency increment for time series data (e.g., 'M' for month-end).
5192+ If None, the frequency is inferred from the index. Relevant for time
5193+ series data only.
5194+
51375195 Returns
51385196 -------
51395197 Series or DataFrame
0 commit comments