plotly下拉菜单地图问题

Question

我的下拉菜单有问题。地图中的值与我需要它们匹配的值不匹配。例如，如果下拉值为死亡人数，则地图中的值为死亡率。图像应该显示每个国家/地区的死亡人数，但显示的是死亡率。

# three columns we're going to build choropleths from
cols = ['Number of Deaths', 'Death Rate Per 100,000']

# build figures for each of the required columns
# key technique is append a suffix to animation frame so each frame has it's
# own name...
figs = [
    px.choropleth(
        data_frame=Global_Burden_of_Disease_df_country,
        locations='Country Name',
        locationmode='country names',
        color=c,
        title='Choropleth Map Example',
        hover_name="Country Name",  # identify country code column
        animation_frame="Year",  # identify date column
        projection="equirectangular",  # select projection
        color_continuous_scale=color,  # select prefer color scale
    )
    for c, color in zip( cols, ["Blues", 'Reds'])
]


# play / pause don't work as don't stop between columns..
layout = {
    k: v
    for k, v in figs[0].to_dict()["layout"].items()
    if k not in ["template", "updatemenus"]
}


# build figure from all frames, with layout excluding play/pause buttons
fig = go.Figure(
    data=figs[0].data, frames=[fr for f in figs for fr in f.frames], layout=layout
)

# finally build drop down menu...
fig = fig.update_layout(
    updatemenus=[
        {
            "buttons": [
                {
                    "label": c,
                    "method": "relayout",
                    "args": [
                        {
                            "coloraxis": col_fig.layout.coloraxis,
                            "sliders": col_fig.layout.sliders,
                        }
                    ],
                }
                for c, col_fig in zip(cols, figs)
            ]
        }
    ]
)

fig

我正在尝试创建一个地图，它根据下拉菜单中的年份显示不同的值。这些值来自数据帧。

Answer 1

您需要确保每次选择滑块值的下拉值时进行更新：

import plotly.express as px
import plotly.graph_objects as go
import pandas as pd

data = {
    "Country Name": ["France", "Germany", "Sweden"] * 4,
    "Year": [2000, 2000, 2000, 2005, 2005, 2005, 2010, 2010, 2010, 2015, 2015, 2015],
    "Number of Deaths": [100, 150, 200, 110, 160, 210, 120, 170, 220, 130, 180, 230],
    "Death Rate Per 100,000": [10, 15, 20, 11, 16, 21, 12, 17, 22, 13, 18, 23],
}

Global_Burden_of_Disease_df_country = pd.DataFrame(data)

cols = ['Number of Deaths', 'Death Rate Per 100,000']

figs = []
frames = []

for c, color in zip(cols, ["Blues", 'Reds']):
    fig = px.choropleth(
        data_frame=Global_Burden_of_Disease_df_country,
        locations='Country Name',
        locationmode='country names',
        color=c,
        hover_name="Country Name",
        animation_frame="Year",
        projection="equirectangular",
        color_continuous_scale=color,
    )
    fig.update_layout(coloraxis_colorbar_title=c)
    figs.append(fig)
    
    for frame in fig.frames:
        frame['name'] = f"{c}_{frame['name']}"
        frames.append(frame)

layout = {
    k: v
    for k, v in figs[0].to_dict()["layout"].items()
    if k not in ["template", "updatemenus"]
}

fig = go.Figure(data=figs[0].data, layout=layout)
fig.frames = frames

frames_dict = {c: [f for f in frames if f['name'].startswith(c)] for c in cols}

dropdown_buttons = [
    {
        "label": c,
        "method": "animate",
        "args": [
            [f"{c}_{year}" for year in Global_Burden_of_Disease_df_country['Year'].unique()],
            {
                "mode": "immediate",
                "frame": {"duration": 500, "redraw": True},
                "transition": {"duration": 0},
            }
        ],
    }
    for c in cols
]

fig.update_layout(
    updatemenus=[
        {
            "buttons": dropdown_buttons,
            "direction": "down",
            "showactive": True,
        }
    ],
    coloraxis_colorbar_title=cols[0],  
    title={"text": f"Choropleth Map - {cols[0]}"}, 
)

fig.show()