Hover support show multiple column

I didn’t found a way to do this .

As I saw, plotly only support show 3 column when hovering, and 2 of them must be x and y . The example is

import plotly.express as px

gapminder = px.data.gapminder().query("year==2007 and continent=='Americas'")

fig = px.scatter(gapminder, x="gdpPercap", y="lifeExp", text="country", log_x=True, size_max=60)

fig.update_traces(textposition='top center')

fig.update_layout(
    height=800,
    title_text='GDP and Life Expectancy (Americas, 2007)'
)

fig.show()

But how do I make it show 6 column while hovering ??

In bokeh I can use tooltips to do this, example :

p = figure(title=title,
           x_range=x_range, y_range=y_range,
           x_axis_location="above",   plot_width=width, plot_height=len(y_range)*20,
           tools=TOOLS, toolbar_location='below',
           tooltips=[('name','@product_name'),('code', '@product_code'), ('date', '@date'), ('sc', '@sale_count'), ('pc', '@pred_count'), ('acc', '@acc%')])

p.rect(x=xcol, y=ycol, width=1, height=1,
   source=df,
   fill_color={'field': 'acc', 'transform': mapper},
   line_color=None)

At this point , bokeh is much more better than plotly .

[eromoe]

Above is single column situation .

It just showed nothing when use 4 column , looks like if there is a nan value in ['price_plan_market', 'price_plan_store', 'price_flashsale', 'price_guide'] then wouldn’t show hover . This is the test csv 1.txt

p2 = pd.read_csv('1.txt')
fig = px.bar(p2, x="ds", y="sale_count", 
                 hover_name="ds", hover_data=['price_plan_market', 'price_plan_store', 'price_flashsale', 'price_guide'])

fig.update_layout(
    width=800,
    height=400,
)

fig.show()

[patilabhay679]

have you tried converting nan to 0