Series.pct_change(periods=1, fill_method='pad', limit=None, freq=None, **kwargs)
[source]
Percent change over given number of periods.
Parameters: |
periods : int, default 1 Periods to shift for forming percent change fill_method : str, default ‘pad’ How to handle NAs before computing percent changes limit : int, default None The number of consecutive NAs to fill before stopping freq : DateOffset, timedelta, or offset alias string, optional Increment to use from time series API (e.g. ‘M’ or BDay()) |
---|---|
Returns: |
chg : NDFrame |
By default, the percentage change is calculated along the stat axis: 0, or Index
, for DataFrame
and 1, or minor
for Panel
. You can change this with the axis
keyword argument.
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Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.22.0/generated/pandas.Series.pct_change.html