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.
axmatplotlib.axes, optional: Existing axes instance.

Returns

matplotlib.Figure

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)