子图表中的条件格式化数据条

Question

大家好，我已经为此苦苦挣扎了好几天。 我已经设置了一个包含 4 个表和彩色列的子图，我实际上希望它们成为基于列中最小和最大数字的数据条。

我尝试了多种不同的方法，但无法让它发挥作用。我当前的代码如下。

import plotly.graph_objects as go
from plotly.subplots import make_subplots
from plotly.colors import n_colors


fig = make_subplots(
    rows=4, cols=1,
    subplot_titles=("Backs", "Edges", "Middles", "Halves, Hookers"),
    shared_xaxes=True,
    vertical_spacing=0.02,
    specs=[[{"type": "table"}],
           [{"type": "table"}],
           [{"type": "table"}],
           [{"type": "table"}]]
)


fig.add_trace(
    go.Table(
        header=dict(
            values=list(Backs_cleaned.columns),
            fill_color='maroon',
            font=dict(size=10),
            font_color='white',
            line_color='lightgrey',
            align="center"
        ),
        cells=dict(
            values=[Backs_cleaned.Round_x, Backs_cleaned.Name, Backs_cleaned.Minutes_x, Backs_cleaned.Game_x, Backs_cleaned.Con_x,
                   Backs_cleaned.Round_y,Backs_cleaned.Minutes_y, Backs_cleaned.Game_y, Backs_cleaned.Con_y, Backs_cleaned.Sum],
            font=dict(size=10),
            fill=dict(color=['white', 'white', 'lightgreen', 'salmon', 'lightgoldenrodyellow', 'white','lightgreen', 'salmon', 'lightgoldenrodyellow', 'white']),
            font_color='black',
            line_color='lightgrey',
            align = "center"),
            
    ),
    row=1, col=1
)


fig.add_trace(
    go.Table(
        header=dict(
            values=list(Edges_cleaned.columns),
            fill_color='maroon',
            font=dict(size=10),
            font_color='white',
            line_color='lightgrey',
            align="center"
        ),
        cells=dict(
            values=[Edges_cleaned.Round_x, Edges_cleaned.Name, Edges_cleaned.Minutes_x, Edges_cleaned.Game_x, Edges_cleaned.Con_x,
                   Edges_cleaned.Round_y,Edges_cleaned.Minutes_y, Edges_cleaned.Game_y, Edges_cleaned.Con_y, Edges_cleaned.Sum],
            fill=dict(color=['white', 'white', 'lightgreen', 'salmon', 'lightgoldenrodyellow', 'white','lightgreen', 'salmon', 'lightgoldenrodyellow', 'white']),
            font=dict(size=10),
            font_color='black',
            line_color='lightgrey',
            align = "center")
    ),
    row=2, col=1
)



fig.add_trace(
    go.Table(
        header=dict(
            values=list(Middles_cleaned.columns),
            fill_color='maroon',
            font=dict(size=10),
            font_color='white',
            line_color='lightgrey',
            align="center"
        ),
        cells=dict(
            values=[Middles_cleaned.Round_x, Middles_cleaned.Name, Middles_cleaned.Minutes_x, Middles_cleaned.Game_x, Middles_cleaned.Con_x,
                   Middles_cleaned.Round_y,Middles_cleaned.Minutes_y, Middles_cleaned.Game_y, Middles_cleaned.Con_y, Middles_cleaned.Sum],
            fill=dict(color=['white', 'white', 'lightgreen', 'salmon', 'lightgoldenrodyellow', 'white','lightgreen', 'salmon', 'lightgoldenrodyellow', 'white']),
            font=dict(size=10),
            font_color='black',
            line_color='lightgrey',
            align = "center")
    ),
    row=3, col=1
)

fig.add_trace(
    go.Table(
        header=dict(
            values=list(HH_cleaned.columns),
            fill_color='maroon',
            font=dict(size=10),
            font_color='white',
            line_color='lightgrey',
            align="center"
        ),
        cells=dict(
            values=[HH_cleaned.Round_x, HH_cleaned.Name, HH_cleaned.Minutes_x, HH_cleaned.Game_x, HH_cleaned.Con_x,
                   HH_cleaned.Round_y,HH_cleaned.Minutes_y, HH_cleaned.Game_y, HH_cleaned.Con_y, HH_cleaned.Sum],
            fill=dict(color=['white', 'white', 'lightgreen', 'salmon', 'lightgoldenrodyellow', 'white','lightgreen', 'salmon', 'lightgoldenrodyellow', 'white']),
            font=dict(size=10),
            font_color='black',
            line_color='lightgrey',
            align = "center")
    ),
    row=4, col=1
)

fig.update_layout(
    height=1600,

    showlegend=False,
    title_text="Longitudinal Conditioning Minutes",
)


fig.show()

这里是图形输出的副本，我想使用相同的颜色将彩色列更改为数据条。提前感谢您的帮助！

Answer 1

如果您愿意释放

Dash，Diverging Data Bars 文档中有一个示例可以完美满足您的需求：

你会在链接资源中找到一个完整的片段来重现上图中的表格，但如果你愿意分享你的数据样本，我可以看看如何让它适用于你的特定数据集.