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hub / github.com/facebook/prophet / plot

Method plot

python/prophet/forecaster.py:1887–1911  ·  view source on GitHub ↗

Plot the Prophet forecast. Parameters ---------- fcst: pd.DataFrame output of self.predict. ax: Optional matplotlib axes on which to plot. uncertainty: Optional boolean to plot uncertainty intervals. plot_cap: Optional boolean indicating if the capaci

(self, fcst, ax=None, uncertainty=True, plot_cap=True,
             xlabel='ds', ylabel='y', figsize=(10, 6), include_legend=False)

Source from the content-addressed store, hash-verified

1885 return pd.DataFrame({'ds': dates})
1886
1887 def plot(self, fcst, ax=None, uncertainty=True, plot_cap=True,
1888 xlabel='ds', ylabel='y', figsize=(10, 6), include_legend=False):
1889 """Plot the Prophet forecast.
1890
1891 Parameters
1892 ----------
1893 fcst: pd.DataFrame output of self.predict.
1894 ax: Optional matplotlib axes on which to plot.
1895 uncertainty: Optional boolean to plot uncertainty intervals.
1896 plot_cap: Optional boolean indicating if the capacity should be shown
1897 in the figure, if available.
1898 xlabel: Optional label name on X-axis
1899 ylabel: Optional label name on Y-axis
1900 figsize: Optional tuple width, height in inches.
1901 include_legend: Optional boolean to add legend to the plot.
1902
1903 Returns
1904 -------
1905 A matplotlib figure.
1906 """
1907 return plot(
1908 m=self, fcst=fcst, ax=ax, uncertainty=uncertainty,
1909 plot_cap=plot_cap, xlabel=xlabel, ylabel=ylabel,
1910 figsize=figsize, include_legend=include_legend
1911 )
1912
1913 def plot_components(self, fcst, uncertainty=True, plot_cap=True,
1914 weekly_start=0, yearly_start=0, figsize=None):

Callers 7

plotFunction · 0.80
plot_forecast_componentFunction · 0.80
plot_weeklyFunction · 0.80
plot_yearlyFunction · 0.80
plot_seasonalityFunction · 0.80
add_changepoints_to_plotFunction · 0.80

Calls 1

plotFunction · 0.90

Tested by

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