= load_test_df()
df =True) plot_timeseries(df.Low, df.Close, df.High, add_legend
plotting
Set of functions and classes to make plotting easier
plot_timeseries
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
hist_timeseries (*tseries:pandas.core.series.Series, ax:Optional[matplotlib.axes._axes.Axes]=None)
hist_timeseries(df.Low)
plot_acfs
plot_acfs (*tseries, incl_lag0=False, alpha=0.05, ax=None)
plot_acfs(df.Close, df.High)
normal_probability_plot
normal_probability_plot (*tseries, ax=None)
normal_probability_plot(df.Close.pct_change().dropna(), df.High.pct_change().dropna())