主页 / coding / 问题 / 79598629
Accepted
PracticingPython
Asked: 2025-04-29 22:33:01 +0800 CST

plotly dash 中的双条堆积条形图

  • 772

我正在尝试使用 plotly 创建双条堆积条形图。

我找到了这段代码：

from plotly import graph_objects as go

data = {
    "original":[15, 23, 32, 10, 23],
    "model_1": [4,   8, 18,  6,  0],
    "model_2": [11, 18, 18,  0,  20],
    "labels": [
        "feature",
        "question",
        "bug",
        "documentation",
        "maintenance"
    ]
}

fig = go.Figure(
    data=[
        go.Bar(
            name="Original",
            x=data["labels"],
            y=data["original"],
            offsetgroup=0,
        ),
        go.Bar(
            name="Model 1",
            x=data["labels"],
            y=data["model_1"],
            offsetgroup=1,
        ),
        go.Bar(
            name="Model 2",
            x=data["labels"],
            y=data["model_2"],
            offsetgroup=1,
            base=data["model_1"],
        )
    ],
    layout=go.Layout(
        title="Issue Types - Original and Models",
        yaxis_title="Number of Issues"
    )
)

在此处输入图片描述 资料来源：https ://dev.to/fronkan/stacked-and-grouped-bar-charts-using-plotly-python-a4p

这可行，但如果可能的话，我需要更进一步。我需要各种模型能够出现在每组条形的两侧，因为我添加了另一个参数（左侧为“是”，右侧为“否”）。在示例中，蓝色始终位于左侧条形，而橙色和/或绿色始终位于右侧。我正在寻找一种方法，以便任何一种颜色都可以出现在一组条形的左侧和右侧，但具有不同的值。例如，在示例中，特征的蓝色条形数量为 15，但在特征的右侧，蓝色的值可能为 5。

python

1 个回答

  1. Best Answer

    您可以使用动态堆叠，结合计算的基值和一致的颜色编码，保持精确的 10 个条形（5 个类别 × 2 条边），同时支持每个条形的可变组件组合。另请查看此堆叠 + 分组条形图

    from plotly import graph_objects as go

data = {
    "left": [
        {"original": 15, "model_1": 4, "model_2": 11},
        {"original": 23, "model_1": 8, "model_2": 18},
        {"original": 32, "model_1": 18, "model_2": 18},
        {"original": 10, "model_1": 6, "model_2": 0},
        {"original": 23, "model_1": 0, "model_2": 20}
    ],
    "right": [
        {"original": 7, "model_1": 3, "model_2": 5},
        {"original": 12, "model_1": 6, "model_2": 8},
        {"original": 15, "model_1": 8, "model_2": 10},
        {"original": 5, "model_1": 4, "model_2": 0},
        {"original": 10, "model_1": 2, "model_2": 12}
    ],
    "labels": [
        "feature",
        "question",
        "bug",
        "documentation",
        "maintenance"
    ]
}

fig = go.Figure()

colors = {
    "original": "#636EFA",
    "model_1": "#EF553B",
    "model_2": "#00CC96"
}

def add_stacked_bar(side, offset_group):
    side_data = data[side]
    for i, category in enumerate(data["labels"]):
        current_base = 0
        for model_type in ["original", "model_1", "model_2"]:
            value = side_data[i].get(model_type, 0)
            if value > 0:
                fig.add_trace(go.Bar(
                    name=f"{model_type.replace('_', ' ').title()} ({side.title()})",
                    x=[category],
                    y=[value],
                    offsetgroup=offset_group,
                    base=current_base,
                    marker_color=colors[model_type],
                    legendgroup=model_type,
                    showlegend=(i == 0)
                ))
                current_base += value

add_stacked_bar("left", 0)
add_stacked_bar("right", 1)

fig.update_layout(
    title="Issue Types - Original and Models",
    yaxis_title="Number of Issues",
    barmode='group',
    legend_title="Model Types",
    legend=dict(
        orientation="h",
        yanchor="bottom",
        y=1.02,
        xanchor="right",
        x=1
    )
)

fig.show()

    在此处输入图片描述

    • 2

相关问题