使用 plotly 根据分组条形图中的 RGB 值更改颜色

Question

我写了这段代码来生成分组条形图：

import plotly.graph_objects as go
class_list = ['class1','class2','class3','class4','class5']
average_length = [10,20,50,30,50]
num_entries = [83,38,83,57,34]
col_Type = ["A", "A", "A", "B", "B", "B"]

fig = go.Figure(data=[
    go.Bar(name='Average Cars Per Area', x=class_list, y=average_length), #color=col_Type,
    go.Bar(name='Cars Per Length', x=class_list, y=num_entries), #color = col_Type
])
# Change the bar mode
fig.update_layout(barmode='group')

#colours = {
#    'class_list': "#0C3B5D",
#    'num_entries': "#3EC1CD",
#    'average_length': "#EF3A4C" 
#}


fig.update_layout(title_text='Average Cars Per Area and Length',
                  title_x=0.1,
                  plot_bgcolor='rgba(0,0,0,0)',
                  paper_bgcolor='rgba(0,0,0,0)',
                  bargap=0.30,
                  bargroupgap=0.0,
                  margin=dict(l=50, r=50, t=50, b=50),
                  xaxis_title="Score Class",
                  yaxis_title="Gene Length/Number of Proteins",
                  yaxis = dict(
                  tickfont = dict(size=13)),
#         color_discrete_map = colours,    
                  xaxis = dict(
                  tickfont = dict(size=13)),)



#fig.update_traces(marker_color=['red', 'green'], showlegend=False)
#fig.update_traces(marker_color=['rgba(135, 206, 250, 0.5)',
#               'rgba(400, 206, 250, 0.5)',
#               'rgba(135, 206, 250, 0.5)',
#               'rgba(400, 206, 250, 0.5)',
#               'rgba(135, 206, 250, 0.5)',
#               'rgba(400, 206, 250, 0.5)',
#               'rgba(135, 206, 250, 0.5)',
#               'rgba(400, 206, 250, 0.5)',
#               'rgba(135, 206, 250, 0.5)',
#               'rgba(400, 206, 250, 0.5)'], showlegend=False)

fig.update_xaxes(showline=True, linewidth=2, linecolor='black')
fig.update_yaxes(showline=True, linewidth=2, linecolor='black')

fig.show()

输出为：

我想根据指定的 RGB 值更改条形的颜色。我可以在不同的地方看到关于如何做到这一点的答案（例如 here, here, ）。但是正如您从我已注释掉的尝试中看到的那样，我正在努力让他们的解决方案为我工作。

有人可以演示如何根据 RGB 值更改条形颜色吗？

编辑 1：在这里留下一个解决方案，以防它帮助任何人。这是使用 matplotlib 的一种方法。

# libraries
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline  
# set width of bars
barWidth = 0.25
 
# set heights of bars
bars1 = [10,20,50,30,50]
bars2 = [83,38,83,57,34]
 
# Set position of bar on X axis
r1 = np.arange(len(bars1))
r2 = [x + barWidth for x in r1]

 
# Make the plot
plt.bar(r1, bars1, color='#7f6d5f', width=barWidth, edgecolor='white', label='var1')
plt.bar(r2, bars2, color='#557f2d', width=barWidth, edgecolor='white', label='var2')
 
# Add xticks on the middle of the group bars
plt.xlabel('group', fontweight='bold')
plt.xticks([r + barWidth for r in range(len(bars1))], ['class1','class2','class3','class4','class5'])
 
# Create legend & Show graphic
plt.legend()
plt.show()

我没有添加它作为答案，因为原来的标题是'with plotly'，这没有解决。

Answer 1

条形图的颜色可以设置为标记颜色中的任意颜色。

fig = go.Figure(data=[
    go.Bar(name='Average Cars Per Area', x=class_list, y=average_length, marker_color='red'),
    go.Bar(name='Cars Per Length', x=class_list, y=num_entries, marker_color='green')
])

使用 plotly 根据分组条形图中的 RGB 值更改颜色

Changing colour based on RGB values in a grouped bar plot with plotly

python

plotly