问题描述

我正在创建一个交互式地理热图仪表板。以下面的数字为例。第一个地块是输出。如图2所示，我如何勾勒出多个州的轮廓？我将把美国州划分为10个区，并创建一个下拉菜单来选择和显示具体的区。

import plotly.graph_objects as go

import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2011_us_ag_exports.csv')

fig = go.Figure(data=go.Choropleth(
    locations=df['code'], # Spatial coordinates
    z = df['total exports'].astype(float), # Data to be color-coded
    locationmode = 'USA-states', # set of locations match entries in `locations`
    colorscale = 'Reds',
    colorbar_title = "Millions USD",
))

fig.update_layout(
    title_text = '2011 US Agriculture Exports by State',
    geo_scope='usa', # limite map scope to USA
)

fig.show()

推荐答案

您可以使用这里的资源做一些与您需要的事情相近的事情。我认识到，这一解决方案并不完全是你正在寻找的，因为我的答复中显示了有关区域内各州之间的边界。然而，这是我能想到的最接近于您所寻找的东西，而无需调用其他包或工具的方法。希望它能帮助您找到更完整的解决方案。

import plotly.graph_objects as go

import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2011_us_ag_exports.csv')

fig = go.Figure(data=go.Choropleth(
    locations=df['code'], # Spatial coordinates
    #locations=['VA'],
    z = df['total exports'].astype(float), # Data to be color-coded
    locationmode = 'USA-states', # set of locations match entries in `locations`
    colorscale = 'Reds',
    colorbar_title = "Millions USD",
    marker_line_color='white',   # will still work if you put this back in black
))

fig.update_layout(
    title_text = '2011 US Agriculture Exports by State',
    geo_scope='usa', # limit map scope to USA
)

# to add these outlines"
# add layer of states to highlight
# turn their texture alpha to 0
# set their marker_line_color to a nice Blue
# and turn off the scale
chorpleth = go.Choropleth(
        locationmode='USA-states',
        z=[0,0,0,0,0,0,0,0,0,0,0,0],
        locations=['ND','SD','NE','KS','MO','IA','MN','WI','MI','IL','IN','OH'],
        colorscale = [[0,'rgba(0, 0, 0, 0)'],[1,'rgba(0, 0, 0, 0)']],
        marker_line_color='Blue',
        showscale = False,
    )

fig.add_trace(chorpleth)

fig.show()

我能想到的其他解决方案包括使用cartopy，所以我将沿着这些思路来研究一些东西，因为这无疑是部分的。

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