Skip to content

DOC: fix ES01 for pandas.plotting.autocorrelation_plot #61526

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Merged
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 10 additions & 0 deletions pandas/plotting/_misc.py
Original file line number Diff line number Diff line change
Expand Up @@ -633,6 +633,16 @@ def autocorrelation_plot(series: Series, ax: Axes | None = None, **kwargs) -> Ax
"""
Autocorrelation plot for time series.

This method generates an autocorrelation plot for a given time series,
which helps to identify any periodic structure or correlation within the
data across various lags. The autocorrelations are computed for increasing
lags and plotted as vertical bars. Horizontal lines at 95% and 99% confidence
intervals are shown to assist in identifying statistically significant lags. The
dashed line corresponds to the 99% confidence band, which can help detect
whether observed autocorrelations deviate significantly from what would
be expected under white noise. This plot is useful in time series analysis for
identifying potential model structures, such as autoregressive components.

Parameters
----------
series : Series
Expand Down
Loading