如何在 plotly python 中使用下拉按钮更新多个散点图的数据？

Question

我在同一轴上有两个 variables/arrays 的两个散点图。我想添加一个下拉列表来更新 variables/arrays.

的数据

import numpy as np
import pandas as pd
from plotly import graph_objects as go

scen3_df = pd.DataFrame(np.random.randint(10, 20, (100, 8)), columns=['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'])
orig_df = pd.DataFrame(np.random.randint(0, 10, (100, 8)), columns=['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'])

first_title = scen3_df.columns.to_list()[0]
traces = []
buttons = []
for idx, col in enumerate(scen3_df.columns):

    visible = [False]*8
    visible[idx] = True
    traces.append(go.Scatter(x=scen3_df.index, y=scen3_df[col],
                             name="Scenario 3",
                             visible = True if idx==0 else False,
                             ))

    traces.append(go.Scatter(x=scen3_df.index, y=orig_df[col],
                             name="Original",
                             visible = True if idx==0 else False,
                             ))

    buttons.append(dict(label=col,
                        method="update",
                        args=[{"visible": visible},
                              {"title": f" Gate operation at {col}"}]
                        ))


updatemenus = [{'active':0, "buttons":buttons}]

fig = go.Figure(data=traces,
                 layout=dict(updatemenus=updatemenus))
fig.update_layout(title=first_title, title_x=0.5)
fig.update_yaxes(range=[0, scen3_df.max()], title="Gate Height (m)")
fig.update_xaxes(title="Time (Julian Day)")
fig.show()
fig.write_html("gate_operations.html")

我想要什么

我目前得到的

Answer 1

在构建这些类型的图形和菜单时，一致性始终是关键
实现与 Plotly Express 的一致性要简单得多，所以我切换到这个而不是 graph objects
为两个数据框建立两个图形，然后整合它们。名称被覆盖以确保图例显示如您所愿
构建图形后，其中包含构建嵌套菜单所需的所有信息 list comprehensions

import numpy as np
import pandas as pd
import plotly.express as px

scen3_df = pd.DataFrame(np.random.randint(10, 20, (100, 8)), columns=['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'])
orig_df = pd.DataFrame(np.random.randint(0, 10, (100, 8)), columns=['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h'])



# generate equivalent figures for both data frames
figs = [
    px.line(df, y=df.columns)
    .update_traces(line_color=color, name=name)
    .for_each_trace(lambda t: t.update(visible=t.legendgroup == df.columns[0]))
    for df, color, name in zip(
        [scen3_df, orig_df], ["blue", "red"], ["Scenario 3", "Original"]
    )
]

# construct overall figure
fig = (
    figs[0]
    .add_traces(figs[1].data)
    .update_layout(xaxis_title="Time (Julian Day)", yaxis_title="Gate Height (m)")
)
# build the menu
fig.update_layout(
    updatemenus=[
        {
            "buttons": [
                {
                    "label": col,
                    "method": "update",
                    "args": [
                        {"visible": [t.legendgroup == col for t in fig.data]},
                        {"title": f" Gate operation at {col}"},
                    ],
                }
                for col in scen3_df.columns
            ]
        }
    ]
)

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