如何在plotly dash中用category_orders函数按字母顺序排序传说

发布于 2025-01-17 13:23:31 字数 526 浏览 2 评论 0原文

我正在使用Plotly Dash创建散点图。我在最终数字中获得的传奇是随机放置的。我想使用category_orders函数以字母顺序从A到Z对标签进行排序

fig = px.box(
            df,
            x=selected_x,
            y=selected_y,
            points='all',
            hover_data=hover_data,
            color=colour_by,
            width=800,
            height=600,
            labels={
                selected_y: "{} {}".format(selected_y_gene, selected_y),
                selected_x: "{} {}".format(selected_x_gene, selected_x),
            },

原文

I am using Plotly dash for creating a scatter plot. The legends I am getting in the final figure are randomly placed. I want to sort labels alphabetically from A to Z with category_orders function

fig = px.box(
            df,
            x=selected_x,
            y=selected_y,
            points='all',
            hover_data=hover_data,
            color=colour_by,
            width=800,
            height=600,
            labels={
                selected_y: "{} {}".format(selected_y_gene, selected_y),
                selected_x: "{} {}".format(selected_x_gene, selected_x),
            },

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去了角落 2025-01-24 13:23:31

如果有很多标签，那么一个简单的选择是使用categoryorder例如，使用 layout.xaxis 。

Example using the iris dataset:

import plotly.express as px

df = px.data.iris()

fig = px.box(
    df,
    x="species",
    y="sepal_length",
    points="all",
    width=800,
    height=600,
)
fig.update_xaxes(categoryorder="category ascending")

If you wish to use category_orders in plotly.express.box:

fig = px.box(
    df,
    x="species",
    y="sepal_length",
    points="all",
    category_orders=dict(species=['setosa', 'versicolor', 'virginica']),
    width=800,
    height=600,
)
fig

If there are many labels, a simple alternative would be to use categoryorder e.g for x-axis using Layout.xaxis.

Example using the iris dataset:

import plotly.express as px

df = px.data.iris()

fig = px.box(
    df,
    x="species",
    y="sepal_length",
    points="all",
    width=800,
    height=600,
)
fig.update_xaxes(categoryorder="category ascending")

If you wish to use category_orders in plotly.express.box:

fig = px.box(
    df,
    x="species",
    y="sepal_length",
    points="all",
    category_orders=dict(species=['setosa', 'versicolor', 'virginica']),
    width=800,
    height=600,
)
fig

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