My input:
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']}))
My code:
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()
As you can see, I create some custom plot within bar chart. And now I try make some "glitter", but a little bit confused. What I want&expect : I try hide in popup (hover text) any x=1
, variable=quality_value
(ie values from x and y axis) and just leave only labels from hover_data
within custom name not like now ( hover_data_0
and label
)
You can use fig.update_traces(hoverdata)
with the following setup:
fig.update_traces(hovertemplate = 'hover_data_0=%{customdata[0]}<br>label=%{customdata[1]}<extra></extra>')
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='')
f = fig.full_figure_for_development(warn=False)
fig.update_traces(hovertemplate = 'hover_data_0=%{customdata[0]}<br>label=%{customdata[1]}<extra></extra>')
fig.show()
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