fig.update_layout() does not iterate on all facets

I am trying to make a faceted plot where I need to treat the x axis as categorical, even though it is an integer. On a single chart (that is not faceted), the following works:

fig.update_layout(xaxis_type='category')

However, on a faceted chart, only one of the facets is changed. I would think that updating the figure layout would iterate on all facets.

Is there an an alternate way to do this using one of the fig.for_each_*() methods? (as in for_each_xaxis() . I played around with it but could not seem to find a way to do it.

Using plotly 4.6.0 on windows

Thanks

import pandas as pd
import plotly.express as px

df = pd.DataFrame({
    'x': [1, 2, 3, 5, 6],
    'y1': [1, 2, 3, 4, 5],
    'y2': [10, 11, 12, 13, 15]
}).melt('x')

bars = px.bar(
    data_frame=df,
    x = 'x',
    y = 'value',
    facet_col = 'variable'
)

bars.update_layout(xaxis_type='category')
bars.show()

[nicolaskruchten]

This is as intended: layout.xaxis refers to one x axis, and layout.xaxis2 refers to the other. If you want to update all x axes, you can use .update_xaxes(type="category").

Furthermore, you can use .update_xaxes(row=1, col=2, type="category") to target your update to a specific facet if you so choose, so you don’t really need to keep track of xaxis vs xaxis1 etc yourself if you choose not to 😃

[rsgoodwin]

Yup fig.update_xaxes(type='category'), as documented here.

Thanks for the posterity post!