Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from http://pandas.pydata.org/pandas-docs/stable/user_guide/../reference/api/pandas.Series.autocorr.html below:

pandas.Series.autocorr — pandas 2.3.1 documentation

Series.autocorr(lag=1)[source]#

Compute the lag-N autocorrelation.

This method computes the Pearson correlation between the Series and its shifted self.

Parameters:

lagint, default 1

Number of lags to apply before performing autocorrelation.

Returns:

float

The Pearson correlation between self and self.shift(lag).

Notes

If the Pearson correlation is not well defined return ‘NaN’.

Examples

>>> s = pd.Series([0.25, 0.5, 0.2, -0.05])
>>> s.autocorr()  
0.10355...
>>> s.autocorr(lag=2)  
-0.99999...

If the Pearson correlation is not well defined, then ‘NaN’ is returned.

>>> s = pd.Series([1, 0, 0, 0])
>>> s.autocorr()
nan

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4