df = load_test_df()
plot_timeseries(df.Low, df.Close, df.High, add_legend=True)
plot_timeseries (*tseries:pandas.core.series.Series, ax:Optional[matplotlib.axes._axes.Axes]=None, add_legend:bool=False)
| Type | Default | Details | |
|---|---|---|---|
| tseries | Series | ||
| ax | Optional | None | |
| add_legend | bool | False | |
| Returns | None | one of several np.Series with DataTimeIndex axis to plot add legend to plot, when True |
hist_timeseries (*tseries:pandas.core.series.Series, ax:Optional[matplotlib.axes._axes.Axes]=None)
plot_acfs (*tseries, incl_lag0=False, alpha=0.05, ax=None)
normal_probability_plot (*tseries, ax=None)