在 plotly.express 中隐藏 select 堆积条文本注释

Question

import pandas as pd
import plotly.express as px

df1 = pd.DataFrame()
df1['x'] = ['Product A', 'Product B', 'Product C']
df1['z'] = ['T1','T1','T1']
df1['y'] = [20, 14, 23]

df2 = pd.DataFrame()
df2['x'] = ['Product A', 'Product B', 'Product C']
df2['z'] = ['T2','T2','T2']
df2['y'] = [40, 10, 55]

df = df1.append(df2)

fig = px.bar(df,
            y="x",
            x="y",
            text='y',
            color='z',barmode='stack')
fig.show()

我只想显示 T1 的标签，保持在 plotly.express 框架内，因为添加 facet_col 功能很容易。

当前结果如下。我想删除 T2（红色）的条形标签，只保留 T1 值的标签。

Answer 1

您可以使用：

fig.for_each_trace(lambda t: t.update(text = []) if t.name not in ['T1'] else ())

并得到：

完整代码：

import pandas as pd
import plotly.express as px

df1 = pd.DataFrame()
df1['x'] = ['Product A', 'Product B', 'Product C']
df1['z'] = ['T1','T1','T1']
df1['y'] = [20, 14, 23]

df2 = pd.DataFrame()
df2['x'] = ['Product A', 'Product B', 'Product C']
df2['z'] = ['T2','T2','T2']
df2['y'] = [40, 10, 55]

df = df1.append(df2)

fig = px.bar(df,
            y="x",
            x="y",
            text='y',
            color='z',barmode='stack')
fig.show()


# fig.for_each_trace(lambda t: print(t))
fig.for_each_trace(lambda t: t.update(text = []) if t.name not in ['T1'] else ())
fig.show()

在 plotly.express 中隐藏 select 堆积条文本注释

Hide select stacked bar text annotation in plotly.express

python

python-3.x

plotly

plotly-python

完整代码：