create a histogram with plotly.graph_objs like in plotly.express

Question

I'm doing visualization and I can create what I want in plotly express but I have to do it many times with different features so I prefer to use graph_objs to make subplots but I don't know how to create them.

fig = px.histogram(eda, x="HeartDisease", color="Sex", barmode="group", height=450, width = 450) fig.show()

but when I try to do it in graph fig.add_trace(go.Histogram( x = eda['HeartDisease'], name=eda.Sex))

error: The 'name' property is a string and must be specified as: - A string - A number that will be converted to a string

fig.add_trace(go.Histogram( x = eda['HeartDisease'], color=eda.Sex))

error: Bad property path: color

I hope you can help me!

the data

Sex	HeartDisease
Male	HeartDisease
Female	Normal
Female	HeartDisease
Male	HeartDisease
Male	Normal

Answer 1

Since there is no data presentation, I created a histogram with graph_objects based on the examples in the official reference. instead of specifying a categorical variable as in express, we will deal with it by extracting the categorical variable.

import plotly.graph_objects as go

df = px.data.tips()

fig = go.Figure()
fig.add_trace(go.Histogram(histfunc="count",
                           y=df.query('sex == "Female"')['total_bill'],
                           x=df.query('sex == "Female"')['day'],
                           name="Female")
             )
fig.add_trace(go.Histogram(histfunc="count",
                           y=df.query('sex == "Male"')['total_bill'],
                           x=df.query('sex == "Male"')['day'],
                           name="Male")
             )

fig.update_layout(xaxis_title='day', yaxis_title='Count', legend_title='sex')
fig.update_xaxes(categoryorder='array', categoryarray=["Thur", "Fri", "Sat", "Sun"])

fig.show()

ploty.express version

import plotly.express as px
df = px.data.tips()
fig = px.histogram(df, x="day", color='sex', barmode='group', category_orders=dict(day=["Thur", "Fri", "Sat", "Sun"]))
fig.show()