statsmodels.graphics.tsaplots.month_plot

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

Seasonal plot of monthly data

Parameters:	x (array-like) – Seasonal data to plot. If dates is None, x must be a pandas object with a PeriodIndex or DatetimeIndex with a monthly frequency. dates (array-like, optional) – If x is not a pandas object, then dates must be supplied. ylabel (str, optional) – The label for the y-axis. Will attempt to use the name attribute of the Series. ax (matplotlib.axes, optional) – Existing axes instance.
Returns:
Return type:	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)

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