when using px.bar, there is some case weird.

[heumsi]

I'm using

px.__version__

'0.3.0'

and jupyter notebook, python 3.6

and I tried this code.

a = pd.DataFrame({"data":[1,2,3,4,100]}, index=['A','B','C','5','0']).reset_index()
print(a)
px.bar(a, x='index', y='data')

I expected this kind of something...

Is this bug..? or was I confused something..?

[nicolaskruchten]

This is an odd edge case of our categorical-vs-continuous detection algorithm. In cases like this you will need to force the axis type to be categorical with .update_xaxes(type="category") like this:

import plotly.express as px
import pandas as pd
a = pd.DataFrame({"data":[1,2,3,4,100]}, index=['A','B','C','5','0']).reset_index()
print(a)
px.bar(a, x='index', y='data').update_xaxes(type="category")