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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

>>> 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 = map(lambda x : pd.datetools.parse('1 '+' '.join(x)),
...                                        dta.index.values)
>>> dta.index = pd.DatetimeIndex(dates, freq='M')
>>> fig = sm.graphics.tsa.month_plot(dta)

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

../_images/graphics_month_plot.png

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