statsmodels.graphics.tsaplots.quarter_plot

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

Seasonal plot of quarterly 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:

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

Return type:

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

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

../_images/graphics_tsa_quarter_plot.png