Empty Facets on partially filled MultiIndex DataFrame with datetime.date in bar plot

I have a pandas dataframe with a multicolumn index consisting of three levels, which I want to plot using a plotly.express.bar. First dimension Station (str) goes into the facets, the second dimension Night (datetime.date) goes onto the x-axis and the third dimension Limit (int) is going to be the stacked bars.

The bug is, that the resulting figure does not show any data on facets which do only have data at one Night. The expected outcome would be that even though data exists only on one date this data is presented.

A reproducible example looks like this:

import datetime
import pandas as pd
import plotly.express as px

df = pd.DataFrame([
    ["station-01", datetime.date(2023,10,1), 50, 0.1],
    ["station-01", datetime.date(2023,10,1), 100, 0.15],
    ["station-01", datetime.date(2023,10,2), 50, 0.2],
    ["station-01", datetime.date(2023,10,2), 100, 0.22],
    ["station-01", datetime.date(2023,10,3), 50, 0.05],
    ["station-01", datetime.date(2023,10,3), 100, 0.02],
    ["station-02", datetime.date(2023,10,1), 50, 0.5],
    ["station-02", datetime.date(2023,10,1), 100, 0.2],
    ["station-03", datetime.date(2023,10,1), 50, 0.5],
    ["station-03", datetime.date(2023,10,1), 100, 0.5],
], columns=["Station", "Night", "Limit", "Relative Duration"])
df = df.set_index(["Station", "Night", "Limit"])

px.bar(
    df,
    x=df.index.get_level_values("Night"),
    y="Relative Duration",
    range_y=[0, 1],
    color=df.index.get_level_values("Limit"),
    facet_col=df.index.get_level_values("Station"),
)

The figure created looks like this:

When replacing the datetime.date type by a string the figure looks like expected:

import datetime
import pandas as pd
import plotly.express as px

df = pd.DataFrame([
    ["station-01", "101", 50, 0.1],
    ["station-01", "101", 100, 0.15],
    ["station-01", "102", 50, 0.2],
    ["station-01", "102", 100, 0.22],
    ["station-01", "103", 50, 0.05],
    ["station-01", "103", 100, 0.02],
    ["station-02", "101", 50, 0.5],
    ["station-02", "101", 100, 0.2],
    ["station-03", "101", 50, 0.5],
    ["station-03", "101", 100, 0.3],
], columns=["Station", "Night", "Limit", "Relative Duration"])
df = df.set_index(["Station", "Night", "Limit"])

px.bar(
    df,
    x=df.index.get_level_values("Night"),
    y="Relative Duration",
    range_y=[0, 1],
    color=df.index.get_level_values("Limit"),
    facet_col=df.index.get_level_values("Station"),
)

Due to this behavior I suspect the plot yielded from the initial data frame is false and there is a bug inside of the plotly.express code.

Thanks for helping out.

Comienza ejecutando el ejemplo reproducible proporcionado mediante plotly.express.bar y compara los casos datetime.date y string. Traza desde ese punto de entrada el manejo de las facetas y del eje de fechas; la corrección estará completa cuando las facetas con datos para una sola Night sigan mostrando sus barras para valores datetime.date.