statsmodels.graphics.tsaplots.month_plot

statsmodels.graphics.tsaplots.month_plot(x, dates=None, ylabel=None, ax=None)[source]

Seasonal plot of monthly data.

Parameters:
xarray_like

Seasonal data to plot. If dates is None, x must be a pandas object with a PeriodIndex or DatetimeIndex with a monthly frequency.

datesarray_like, optional

If x is not a pandas object, then dates must be supplied.

ylabelstr, optional

The label for the y-axis. Will attempt to use the name attribute of the Series.

axAxes, optional

Existing axes instance.

Returns:
Figure

If ax is provided, the Figure instance attached to ax. Otherwise a new Figure instance.

Examples

>>> import statsmodels.api as sm
>>> import pandas as pd
>>> dta = sm.datasets.elnino.load_pandas().data
>>> dta['YEAR'] = dta.YEAR.astype(int).astype(str)
>>> dta = dta.set_index('YEAR').T.unstack()
>>> dates = pd.to_datetime(list(map(lambda x: '-'.join(x) + '-1',
...                                 dta.index.values)))
>>> dta.index = pd.DatetimeIndex(dates, freq='MS')
>>> fig = sm.graphics.tsa.month_plot(dta)

(Source code, png, hires.png, pdf)

../_images/graphics_tsa_month_plot.png

Last update: Apr 12, 2024