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

还没有人认领这个 Issue。

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()

先从可复现 Python 示例中描述的 plotly.express 直方图和 facet 处理开始，然后将其生成的 figure 与可正常工作的 make_subplots 示例以及链接的 CodePens 进行比较。完成的标准是：分类字符串轴标签无需 bingroup workaround 即可在每个 facet 上渲染，并且有一个覆盖该情况的回归测试。

由索引模型根据 Issue 内容生成。

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

描述

Problem summary

Reproducible example

Original Python code

Related

贡献指南

从这里开始

调研方向

评估

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

描述

Problem summary

Reproducible example

Original Python code

Related

贡献指南

从这里开始

调研方向

评估

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