如何使用堆积条形图在情节区域之外制作图例 [英] How can I make legend outside plot area with stacked bar
问题描述
我的Bokeh库有问题.我需要在情节区域之外创建一个图例框.它适用于圆和面积绘图.我找不到堆叠条形的解决方案,图例下方的解决方案塑造了图形的一部分,因此不可接受(请参见代码下的链接).我想在框中输入图例.
I have a problem with Bokeh library. I need make a legend box outside plot area. It works for circle and area plotting. I can't find the solution for the stacked bar.With the solution below the legend shapes one part of the graph, it isn't acceptable (see link under the code).I would like a legend in the box.
关于, SR
import numpy as np
from bokeh.layouts import gridplot
from bokeh.models import ColumnDataSource,
NumeralTickFormatter,LinearAxis, Range1d, Legend
from bokeh.plotting import show, output_notebook, figure
from bokeh.core.properties import value
from math import pi
output_notebook()
colors=['#47A440','#9FCDC8']
source = ColumnDataSource(F)
mois=F.mois.tolist()
def insert(colonne, position1, position2,valeur1, valeur2):
li=[]
li=colonne.tolist()
li.insert(position1,valeur1)
li.insert(position2, valeur2)
return li
Data_mois_area= insert(F.mois,0,12,'Janvier','Décembre')
Data_conso_area= insert(F.Pui_Conso,0,13,0,0)
Data_pv_area= insert(F.Pui_PV,0,13,0,0)
p = figure(x_range=mois, plot_height=500,
plot_width=800,toolbar_location=None,tools="hover")
xa=range(len(F.mois))
r0=p.patch(x=Data_mois_area, y=Data_conso_area, color="#003BFB")
r1=p.patch(x=Data_mois_area, y=Data_pv_area, color="#FBB000")
p.vbar_stack(['Pui_Autocon','Pui_Réinj'], x='mois', width=0.5,
color=colors,line_width=1, line_color='black',
legend=['Autoconsommation','Réinjection'], source=source)
r3=p.circle(x='mois', y='Taux_autocon', size=10, color="red",
y_range_name="foo", source=source )
r4=p.circle(x='mois', y='Taux_autopro', size=10, color="purple",
y_range_name="foo", source=source)
p.y_range.start = 0
p.x_range.range_padding = 0.1
p.xgrid.grid_line_color = None
p.axis.minor_tick_line_color = None
p.outline_line_color = None
p.title.text = "Besoins et Consommation"
p.title.align = "center"
p.title.text_color = "black"
p.title.text_font_size = "15px"
p.xaxis.major_label_orientation = pi/4
p.yaxis.major_label_orientation = "horizontal"
p.yaxis.axis_label = "Energie en kWh"
p.yaxis.axis_label_text_font_style = "italic"
p.extra_y_ranges['foo'] = Range1d(0, 1.02)
p.add_layout(LinearAxis(y_range_name="foo"), 'right')
p.legend.orientation = "horizontal"
legend = Legend(items=[
("Consommation", [r0]),
("Production", [r1]),
("Taux autoconsommation", [r3]),
("Taux autoproduction ",[r4]),
], location=(1, -30))
p.add_layout(legend, 'right')}
show(p)
推荐答案
我解决此问题的方法如下(hbar堆栈示例,但解决方案相同)
The way I've solved this is as follows (example for hbar stack but the solution is identical)
# make a figure
p = figure(y_range=uniquesubjects, x_range=(0,600), plot_height=900, plot_width=900, title="Subjects In Trouble!",
toolbar_location=None, tools="")
# add stacked horizontal bars
p.hbar_stack(headers[0:-1], y='subject_name', color=colors, height=1, source=source, legend=[value(x) for x in legendvals])
# add some graph options
p.xgrid.grid_line_color = None
p.axis.minor_tick_line_color = None
p.outline_line_color = None
p.legend.location = "top_right"
p.legend.orientation = "vertical"
new_legend = p.legend[0]
p.legend[0].plot = None
p.add_layout(new_legend, 'right')
show(p)
我像往常一样创建一个内部图例",然后制作一个副本,将其从原始位置删除,然后将其添加为外部布局.这是在以下三行中完成的:
I create an "internal legend", as normal and then I take a copy of it, remove it from the original location and add it as a layout outside. This is done in these three lines:
new_legend = p.legend[0]
p.legend[0].plot = None
p.add_layout(new_legend, 'right')
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