实际悬停数据和悬停文本

Question

我的意见：

df=(pd.DataFrame({'label_color':['white','white','cyan','cyan','cyan','cyan','white','white'],
                  'label_quality':['white','white','red','green','green','red','white','white'],
'label':['foo','foo','foo','foo','foo','foo','foo','foo']}))

我的代码：

df['color_value'] = 1
df['quality_value'] = 1

fig = px.bar(df, y=['color_value','quality_value'],
             x=[1]*len(df),
             orientation='h',
             barmode='group',
             template='plotly_white', hover_data=[df.index.values,df.label])

fig.data[0]['marker']['color'] = df['label_color'].tolist()
fig.data[1]['marker']['color'] = df['label_quality'].tolist()
fig.update_traces(marker_line_color='rgb(8,48,107)')
fig.update_layout(showlegend=False, yaxis_title='foo', xaxis_title='')
fig.show()

我的产出：

。

如您所见，我在条形图中创建了一些自定义的绘图。现在我试着制造一些“闪光”，但有点困惑。I想要的&expect：我尝试隐藏在弹出(悬停文本)任何x=1，variable=quality_value (即从x和y轴的值)，只留下标签从hover_data的自定义名称不像现在(hover_data_0和label)

Answer 1

您可以在以下设置中使用fig.update_traces(hovertemplate)：

fig.update_traces(hovertemplate = 'hover_data_0=%{customdata[0]}<br>label=%{customdata[1]}<extra></extra>')

第1地块：

​

​

完整代码：

import plotly.express as px
import plotly.graph_objects as go
import pandas as pd

df=(pd.DataFrame({'label_color':['white','white','cyan','cyan','cyan','cyan','white','white'],
                  'label_quality':['white','white','red','green','green','red','white','white'],
'label':['foo','foo','foo','foo','foo','foo','foo','foo']}))

df['color_value'] = 1
df['quality_value'] = 1

fig = px.bar(df, y=['color_value','quality_value'],
             x=[1]*len(df),
             orientation='h',
             barmode='group',
             template='plotly_white', hover_data=[df.index.values,df.label])

fig.data[0]['marker']['color'] = df['label_color'].tolist()
fig.data[1]['marker']['color'] = df['label_quality'].tolist()
fig.update_traces(marker_line_color='rgb(8,48,107)')
fig.update_layout(showlegend=False, yaxis_title='foo', xaxis_title='')
fig.update_traces(hovertemplate = 'hover_data_0=%{customdata[0]}<br>label=%{customdata[1]}<extra></extra>')
fig.show()