statsmodels.graphics.tsaplots.month_plot
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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)
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