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.
- 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:¶
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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Source code
,png
,hires.png
,pdf
)
Last update:
Oct 12, 2024