Question

我正在尝试创建一个带下拉列表的 choropleth。我想使用下拉按钮更改色阶，例如每个按钮的最小值和最大值。我最近的比例在 0 , 50 M 之间。这对某些按钮有意义，但对于按钮 A，它没有任何意义

提前致谢

<块引用>

from urllib.request import urlopen import json with urlopen("https://raw.githubusercontent.com/Babolius/project/62fef3b31fa9e34afb055e493de107d89a50a889/tr-cities-utf8.json") 作为回应： id = json.load(response) import pandas as pd df = pd.read_csv("https://raw.githubusercontent.com/Babolius/project/main/komisyon5.csv",encoding ='utf8', dtype={"Toplam": int}) df.groupby(['ID']).sum()

导入 plotly.express 为 px

fig = px.choropleth_mapbox(df, geojson= id, location= 'ID', color= "托普兰", color_continuous_scale="Viridis", range_color=(0, 10000000), mapbox_style="carto-darkmatter", 缩放= 3，中心= {“纬度”：41.0902，“经度”：28.7129}，不透明度=0.5， )

dropdown_buttons =[{'label': 'A', 'method' : 'restyle', 'args': [{'z': [df["A"]]}, {'visible': [True, False, False, False, False, False]}, {'title': 'A'}]}, {'label': 'B', 'method': 'restyle', 'args': [{'z': [df["B"]]}, {'visible': [False, True, False, False , 错误, 错误]}, {'title': 'B'}]}, {'label': 'C', 'method': 'restyle', 'args': [{'z': [df["C"]]}, {'visible': [False, False, True, False , 错误, 错误]}, {'title': 'C'}]}, {'label': 'D', 'method': 'restyle', 'args': [{'z': [df["D"]]}, {'visible': [False, False, False, True , 错误, 错误]}, {'title': 'D'}]}, {'label': 'E', 'method': 'restyle', 'args': [{'z': [df["E"]]}, {'visible': [False, False, False, False ，真假]}， {'title': 'E'}]}, {'label': 'Toplam', 'method': 'restyle', 'args': [{'z': [df["Toplam"]]}, {'visible': [False, False, False, False , 假，真]}，{'title'：'Toplam'}]}]

fig.update_layout({'updatemenus':[{'type': 'dropdown', 'showactive': 真，'活动'：0，'按钮'：dropdown_buttons}]})

fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0}) fig.show()

Answer 1

比我想象的要容易

from urllib.request import urlopen
import json
with urlopen("https://raw.githubusercontent.com/Babolius/project/62fef3b31fa9e34afb055e493de107d89a50a889/tr-cities-utf8.json") as response:
    id = json.load(response)
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/Babolius/project/main/komisyon5.csv",encoding ='utf8', dtype={"Toplam": int})
df.groupby(['ID']).sum()


import plotly.express as px


fig = px.choropleth_mapbox(df, geojson= id, locations= 'ID', color= "Toplam",
                           color_continuous_scale="Viridis",
                           color_discrete_sequence=(min, max),
                           mapbox_style="carto-darkmatter",
                           zoom=3, center = {"lat": 41.0902, "lon": 28.7129},
                           opacity=0.5,
                          )

dropdown_buttons =[{'label': 'A', 'method' : 'update', 'args': [{'z': [df["A"]]}, {'visible': [True, False, False, False, False, False]}, {'title': 'A'}]},
                   {'label': 'B', 'method' : 'update', 'args': [{'z': [df["B"]]}, {'visible': [False, True, False, False, False, False]}, {'title': 'B'}]},
                   {'label': 'C', 'method' : 'update', 'args': [{'z': [df["C"]]}, {'visible': [False, False, True, False, False, False]}, {'title': 'C'}]},
                   {'label': 'D', 'method' : 'update', 'args': [{'z': [df["D"]]}, {'visible': [False, False, False, True, False, False]}, {'title': 'D'}]},
                   {'label': 'E', 'method' : 'update', 'args': [{'z': [df["E"]]}, {'visible': [False, False, False, False, True, False]}, {'title': 'E'}]},
                   {'label': 'Toplam', 'method' : 'restyle', 'args': [{'z': [df["Toplam"]]}, {'visible': [False, False, False, False, False, True]}, {'title': 'Toplam'}]}]

fig.update_layout({'updatemenus':[{'type': 'dropdown', 'showactive': True, 'active': 0, 'buttons': dropdown_buttons}]})

fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
fig.show()

在下拉列表中更改颜色范围

1 个答案: