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为plotly python图形选择按钮时,条形图未更新

plotly python

RSW · 技术社区 · 10 月前

下面的plotly代码渲染条形图,带有选择按钮 stack 或 group 风格。但当在按钮上进行选择时,图表不会更新样式。我该如何解决这个问题:

fig1 = go.Figure()

x  = temp_df.index
y1 = temp_df['Sales'].astype(float) # Sales Column
y2 = temp_df['Expenses'].astype(float) # Expenses Column
y3 = temp_df['Operating Profit'].astype(float) # Expenses Column
y4 = temp_df['Net Profit'].astype(float) # Expenses Column

fig1.add_trace(go.Bar(x=x, y=y1, name='Sales', marker_color ="#4287f5"))
fig1.add_trace(go.Bar(x=x, y=y2, name='Expenses', marker_color ="#f06969"))
fig1.add_trace(go.Bar(x=x, y=y3, name='Operating Profit', marker_color ="#469984"))
fig1.add_trace(go.Bar(x=x, y=y4, name='Net Profit', marker_color ="#53c24f"))

fig1.update_layout(
        title='<b>QoQ Performance</b>',
        xaxis_title='Quarter',
        yaxis_title='Rupees in Cr.')

updatemenus=[
        dict(
            type = "buttons",
            buttons=list([
                dict(
                    args=['barmode', 'Group'],
                    label="Group",
                    method="update",
                ),
                dict(
                    args=["barmode", "stack"],
                    label="Stack",
                    method="update"
                )
            ]) 
        ),
    ]

fig1.update_layout(updatemenus=updatemenus)
fig1.show()

参考数据帧。指数是 Quarter .

一刻钟	销售额	费用	营业利润	净利润
q1	674.3	529.47	144.83	48.81
q2	634.32	498.08	136.24	45.91
q3	338.17	265.54	72.63	24.48
q4	1209.9	949.99	259.86	87.57

1 回复 | 直到 10 月前

Lisan Al Gaib 10 月前

如果你想快速解决问题,那就改变吧 method="update" 到 method="relayout" .

此外,请在下面找到代码的优化版本,

import plotly.graph_objects as go

fig1 = go.Figure()


data = {
    'Quarter': ['q1', 'q2', 'q3', 'q4'],
    'Sales': [674.3, 634.32, 338.17, 1209.9],
    'Expenses': [529.47, 498.08, 265.54, 949.99],
    'Operating Profit': [144.83, 136.24, 72.63, 259.86],
    'Net Profit': [48.81, 45.91, 24.48, 87.57]
}
temp_df = pd.DataFrame(data)

x = temp_df.index
y1 = temp_df['Sales'].astype(float)
y2 = temp_df['Expenses'].astype(float)
y3 = temp_df['Operating Profit'].astype(float)
y4 = temp_df['Net Profit'].astype(float)

fig1.add_trace(go.Bar(x=x, y=y1, name='Sales', marker_color="#4287f5"))
fig1.add_trace(go.Bar(x=x, y=y2, name='Expenses', marker_color="#f06969"))
fig1.add_trace(go.Bar(x=x, y=y3, name='Operating Profit', marker_color="#469984"))
fig1.add_trace(go.Bar(x=x, y=y4, name='Net Profit', marker_color="#53c24f"))

fig1.update_layout(
    title='<b>QoQ Performance</b>',
    xaxis_title='Quarter',
    yaxis_title='Rupees in Cr.')

updatemenus=[
    dict(
        type="buttons",
        buttons=list([
            dict(
                label="Group",
                method="relayout",
                args=[{"barmode": "group"}]
            ),
            dict(
                label="Stack",
                method="relayout",
                args=[{"barmode": "stack"}]
            )
        ])
    )
]
    
fig1.update_layout(updatemenus=updatemenus)
fig1.show()