def separate_legend(fig: Figure, orientation: str = "vertical") -> Figure:
"""Cuts legend out of fig and returns a separate legend (as a Figure object).
Click policy doesn't work on the new legend.
Requires bokeh==1.0.2 for solution from https://groups.google.com/a/continuum.io/forum/#!topic/bokeh/BJRhWlnmhWU
Open feature request to share a legend across plots: https://github.com/bokeh/bokeh/issues/7607
"""
legend_fig = Plot(
x_range=Range1d(1000, 1000),
y_range=Range1d(1000, 1000),
min_border=0,
outline_line_alpha=0,
toolbar_location=None,
sizing_mode=
"stretch_both", # if stretch_both, then we need to set the height or min-height of the container
)
original_legend = fig.legend[0]
legend_fig.renderers.append(original_legend)
legend_fig.renderers.extend([
renderer for renderer in fig.renderers
if isinstance(renderer, GlyphRenderer)
])
fig.renderers.remove(original_legend)
separated_legend = legend_fig.legend[0]
separated_legend.border_line_alpha = 0
separated_legend.margin = 0
if len(separated_legend.items) > 3:
orientation = "vertical"
separated_legend.orientation = orientation
if orientation == "horizontal":
separated_legend.spacing = 30
separated_legend.location = "top_center"
legend_fig.plot_height = (compute_legend_height(original_legend) +
original_legend.margin * 2)
return legend_fig
plot_O3.xaxis.axis_label = 'utc_time'
plot_CO.xaxis.axis_label = 'utc_time'
plot_grid.xaxis.axis_label = 'latitude'
plot_grid_station.xaxis.axis_label = 'latitude'
plot_O3.yaxis.axis_label = 'O3'
plot_CO.yaxis.axis_label = 'CO'
plot_grid.yaxis.axis_label = 'longitude'
plot_grid_station.yaxis.axis_label = 'longitude'
plot_O3.plot_width = 1500
plot_CO.plot_width = 1500
plot_grid.plot_width = 900
plot_grid_station.plot_width = 900
plot_grid.plot_height = 900
plot_grid_station.plot_height = 900
###-------------------------------------------------------------------------------
# plots 1 (O3) and 2 (CO)
###-------------------------------------------------------------------------------
listStationId = data_beijing_17_18_aq["stationId"].unique()
listWithStation = {}
i = 0
result = pd.DataFrame()
#create dataframe with column for each critere "O3, stationId .." and for each stationId and we have less row because it's easy for the plot
for idOfStation in listStationId:
listWithStation[i] = data_beijing_17_18_aq.loc[
lambda df: df['stationId'] == listStationId[i], :][[
