Get a separate bar for each row in Plotly when data has duplicate categories

Question

I have a very simple dataframe with some duplicated category values:

import pandas as pd
df = pd.DataFrame({'x': ['Alpha', 'Beta','Beta','Beta','Gamma','Delta','Delta'], 'y': [12,11,9,7,5,3,1]})

	x	y
0	Alpha	12
1	Beta	11
2	Beta	9
3	Beta	7
4	Gamma	5
5	Delta	3
6	Delta	1

and I would like to use Plotly (Python) to produce a bar chart like I would get in Excel where each row has its own, separate bar like this:

screenshot of example bar chart in excel

Plotly produces something like this where the Beta and Delta values are sort of stacked on to each other:

import plotly.express as px
px.bar(df, x='x', y='y')

screenshot of same bar chart in plotly

This feels like it should be easy to do but reading the Plotly docs / Google / SO searches so far have not produced a result (possibly because I struggled to work out the best search terms) but how to achieve this?

I have tried setting type='category' and barmode='group' and categoryorder='total descending' in various combinations, none of which have forced an individual, separate bar per row like in Excel that I want.

Answer 1

Definitely not intuitive and had to dig beyond the px.bar docs for sure.

import plotly.express as px
import pandas as pd


df = pd.DataFrame({'x': ['Alpha', 'Beta','Beta','Beta','Gamma','Delta','Delta'], 'y': [12,11,9,7,5,3,1]})

fig = px.bar(df, x=df.index, y='y')
fig.update_layout(
    xaxis = dict(
        tickmode = 'array',
        tickvals = df.index,
        ticktext = df.x
    )
)
fig.show()

gives