statsmodels.graphics.tsaplots.quarter_plot¶

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

Seasonal plot of quarterly 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:¶

Figure

If ax is provided, the Figure instance attached to ax. Otherwise a new Figure instance.

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 = dates.to_period('Q')
>>> fig = sm.graphics.tsa.quarter_plot(dta)

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