如何在图例中显示名称而不是悬停?
How to display name in legent but not on hover?
我使用了跟踪名称,它将名称显示为图例项并在悬停时显示。请问我应该用什么来仅将名称显示为图例而不是悬停?谢谢
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
## sample DataFrames
df1=pd.DataFrame({'A':[1,2,3],'B':[4,5,6]})
df2=pd.DataFrame({'x':[1,2,3],'y':[7,8,9]})
fig = px.scatter(df1, x='A', y='B')
fig.add_scatter(x=df2['x'], y=df2['y'])
fig.update_traces(name='Points', showlegend = True)
fig.show()
期望的结果没有红色文本点。
咨询后:
如何将其与 hovertemplate 结合使用?
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
## sample DataFrames
df1=pd.DataFrame({'A':[1,2,3],'B':[4,5,6]})
df2=pd.DataFrame({'x':[1,2,3],'y':[7,8,9]})
fig = px.scatter(df1, x='A', y='B')
fig.add_scatter(x=df2['x'], y=df2['y'])
fig.update_traces(
hovertemplate="<br>".join([
"<b><i>T</i> (R):</b> %{x:.3f} ± %{customdata[2]:.3f}",
])
)
fig.update_traces(name='Points', showlegend = True, hoverinfo="x+y")
fig.show()
您需要使用 hoverinfo
属性 :
fig.update_traces(name='Points', showlegend = True, hoverinfo="x+y")
如果您使用 hovertemplate
,它会覆盖 hoverinfo
,那么您需要清空他们所谓的“辅助框”,它可以用标签 <extra>
引用
Anything contained in tag <extra>
is displayed in the secondary box,
for example "{fullData.name}". To hide the secondary
box completely, use an empty tag <extra></extra>
.
例如:
fig.update_traces(
hovertemplate="[...] %{x:.3f} ± %{customdata[2]:.3f}<extra></extra>"
)
我使用了跟踪名称,它将名称显示为图例项并在悬停时显示。请问我应该用什么来仅将名称显示为图例而不是悬停?谢谢
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
## sample DataFrames
df1=pd.DataFrame({'A':[1,2,3],'B':[4,5,6]})
df2=pd.DataFrame({'x':[1,2,3],'y':[7,8,9]})
fig = px.scatter(df1, x='A', y='B')
fig.add_scatter(x=df2['x'], y=df2['y'])
fig.update_traces(name='Points', showlegend = True)
fig.show()
期望的结果没有红色文本点。
咨询后:
如何将其与 hovertemplate 结合使用?
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
## sample DataFrames
df1=pd.DataFrame({'A':[1,2,3],'B':[4,5,6]})
df2=pd.DataFrame({'x':[1,2,3],'y':[7,8,9]})
fig = px.scatter(df1, x='A', y='B')
fig.add_scatter(x=df2['x'], y=df2['y'])
fig.update_traces(
hovertemplate="<br>".join([
"<b><i>T</i> (R):</b> %{x:.3f} ± %{customdata[2]:.3f}",
])
)
fig.update_traces(name='Points', showlegend = True, hoverinfo="x+y")
fig.show()
您需要使用 hoverinfo
属性 :
fig.update_traces(name='Points', showlegend = True, hoverinfo="x+y")
如果您使用 hovertemplate
,它会覆盖 hoverinfo
,那么您需要清空他们所谓的“辅助框”,它可以用标签 <extra>
Anything contained in tag
<extra>
is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag<extra></extra>
.
例如:
fig.update_traces(
hovertemplate="[...] %{x:.3f} ± %{customdata[2]:.3f}<extra></extra>"
)