Axis labels are not shown for all subplots when usin... | plotly/plotly.py

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Problem summary

Whenever I have the following combination:

plotly express
facet plots
labels used for axis are strings

The first subplot shows the axis labels properly, but all following subplots don't show labels at all:
Plot showing the issue
If the axis labels are numbers, there is no problem.

From a comment of the initial issue I opened I now know that fig.update_traces(bingroup='x2', row=1, col=2) can work around the issue, but that's not a permanent solution.

Reproducible example

I originally created these plots in Python (plotly 5.18.0) and then used the .to_json(pretty=True) method to obtain the Javascript for the codepens.

Manually building up the figure using graph_objects and make_subplots I get the following working visualization: https://codepen.io/sl1970/pen/BaMvNbp
If I use the convenient plotly.express library and the facet argument I get this broken visualization (no axis labels on the right plot): https://codepen.io/sl1970/pen/jOdXPoa

Original Python code

If necessary, this is the original Python code I used

import pandas as pd
import plotly.express as px
from plotly.subplots import make_subplots
import plotly.graph_objects as go

df = pd.DataFrame(
    {
        "age": { "0": "Adult", "1": "Adult", "2": "Adult", "3": "Adult", "4": "Adult", "5": "Kid", "6": "Kid", "7": "Kid", "8": "Kid", "9": "Kid", },
        "favourite_food": { "0": "Pizza", "1": "Noodles", "2": "Pizza", "3": "Pizza", "4": "Pizza", "5": "Burger", "6": "Pancake", "7": "Noodles", "8": "Pizza", "9": "Pancake", },
        "favourite_drink": { "0": "Beer", "1": "Tea", "2": "Beer", "3": "Wine", "4": "Coffee", "5": "Coffee", "6": "Water", "7": "Beer", "8": "Tea", "9": "Wine", },
        "max_running_speed": { "0": 4.7362803248, "1": 16.7084927714, "2": 8.1135697835, "3": 1.0704264989, "4": 4.6330187561, "5": 6.331593807, "6": 16.5221040135, "7": 3.2256763127, "8": 4.3084468631, "9": 6.3677742299, },
        "number_of_bicycles": { "0": 4, "1": 2, "2": 1, "3": 3, "4": 4, "5": 3, "6": 3, "7": 3, "8": 4, "9": 2, },
    }
)
df.set_index("age", inplace=True)


working = make_subplots(rows=1, cols=2, subplot_titles=["Food", "Drink"])

working.add_trace( go.Histogram( histfunc="count", histnorm="percent", x=df.loc["Adult"].favourite_food, name="Adult", legendgroup="Adult", ), row=1, col=1, )
working.add_trace( go.Histogram( histfunc="count", histnorm="percent", x=df.loc["Kid"].favourite_food, name="Kid", legendgroup="Kid" ), row=1, col=1, )
working.add_trace( go.Histogram( histfunc="count", histnorm="percent", x=df.loc["Adult"].favourite_drink, name="Adult", legendgroup="Adult", ), row=1, col=2, )
working.add_trace( go.Histogram( histfunc="count", histnorm="percent", x=df.loc["Kid"].favourite_drink, name="Kid", legendgroup="Kid" ), row=1, col=2, )
working.show()

broken = px.histogram(
    df,
    x=["favourite_food", "favourite_drink"],
    facet_col="variable",
    color=df.index,
    barmode="group",
    histnorm="percent",
    text_auto=".2r",
).update_xaxes(matches=None, showticklabels=True).update_yaxes(matches=None, showticklabels=True)
broken.show()

Commencez par le traitement de l’histogramme et des facettes de plotly.express décrit dans l’exemple Python reproductible, puis comparez sa figure générée avec l’exemple make_subplots fonctionnel et les CodePens liés. La tâche est terminée lorsque les libellés d’axe de type chaîne catégoriels sont rendus sur chaque facette sans nécessiter de workaround bingroup, avec un test de régression couvrant ce cas.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Axis labels are not shown for all subplots when using plotly express, facets and string labels

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Problem summary

Reproducible example

Original Python code

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Axis labels are not shown for all subplots when using plotly express, facets and string labels

Description

Problem summary

Reproducible example

Original Python code

Related

Guide de contribution

Par où commencer

Piste de recherche

Évaluation

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