graphics.tsaplots.month_plot()

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:	matplotlib.Figure :

Examples

1 2	>>> import statsmodels.api as sm >>> import pandas as pd

1 2 3 4 5

>>> dta = sm.datasets.elnino.load_pandas().data >>> dta['YEAR'] = dta.YEAR.astype(int).astype(str) >>> dta = dta.set_index('YEAR').T.unstack() >>> dates = map(lambda x : pd.datetools.parse('1 '+' '.join(x)), ...                                        dta.index.values)

1 2	>>> dta.index = pd.DatetimeIndex(dates, freq='M') >>> fig = sm.graphics.tsa.month_plot(dta)

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