def plot_prediction_point_estimate(series, predictor):
""" Returns bokeh plot of current + predicted capacity
Returns a figure with 2 lines, one for past capacity and another for
future predicted capacity using predictor function. The plot
displays 24 hours into the future at 15 minute intervals.
Parameters
----------
series: pandas.Series
A series of a single floor's occupancy. Its index are past times
and its values are the observed occupancies, and its name is the
floor name.
predictor: Callable[[pd.Series, pd.PeriodIndex],
pd.Series]
Takes the room name and a PeriodIndex of times of future times
and returns the predicted occupancy of the room at those times
Returns
-------
bokeh.plotting.figure.Figure
"""
future_dts = PeriodIndex(start=series.index[-1],
freq='15T',
periods=24 * 4)
predictions = pd.Series(predictor(series, future_dts),
index=future_dts.to_datetime())
p = figure(x_axis_type="datetime")
p.line(series.index,
series,
color="dodgerblue",
line_width=3,
line_cap="round")
p.line(predictions.index,
predictions,
color="crimson",
line_width=3,
line_dash="dashed",
line_cap="round")
p.xaxis.axis_label = "Time of Day"
p.xaxis.axis_line_width = 3
p.xaxis.axis_line_color = PANTONE_292
p.xaxis.major_label_text_color = PANTONE_292
p.yaxis.axis_label = "Capacity"
p.yaxis.axis_line_color = PANTONE_292
p.yaxis.major_label_text_color = PANTONE_292
p.yaxis.major_label_orientation = "vertical"
p.yaxis.axis_line_width = 3
return p
def plot_prediction_point_estimate(series, predictor):
""" Returns bokeh plot of current + predicted capacity
Returns a figure with 2 lines, one for past capacity and another for
future predicted capacity using predictor function. The plot
displays 24 hours into the future at 15 minute intervals.
Parameters
----------
series: pandas.Series
A series of a single floor's occupancy. Its index are past times
and its values are the observed occupancies, and its name is the
floor name.
predictor: Callable[[pd.Series, pd.PeriodIndex],
pd.Series]
Takes the room name and a PeriodIndex of times of future times
and returns the predicted occupancy of the room at those times
Returns
-------
bokeh.plotting.figure.Figure
"""
future_dts = PeriodIndex(start=series.index[-1], freq='15T',
periods=24 * 4)
predictions = pd.Series(predictor(series, future_dts),
index=future_dts.to_datetime())
p = figure(x_axis_type="datetime")
p.line(series.index, series, color="dodgerblue", line_width=3,
line_cap="round")
p.line(predictions.index, predictions, color="crimson", line_width=3,
line_dash="dashed", line_cap="round")
p.xaxis.axis_label = "Time of Day"
p.xaxis.axis_line_width = 3
p.xaxis.axis_line_color = PANTONE_292
p.xaxis.major_label_text_color = PANTONE_292
p.yaxis.axis_label = "Capacity"
p.yaxis.axis_line_color = PANTONE_292
p.yaxis.major_label_text_color = PANTONE_292
p.yaxis.major_label_orientation = "vertical"
p.yaxis.axis_line_width = 3
return p
