如何使用 Plotly Choropleth 在地图中添加静态文本 Python

Question

我正在使用 plotly 和 geojson 文件绘制印度地图。现在我想做的是显示印度各州的静态值。目前这些值在悬停时可见，我希望这些值始终可见。

这是我的代码：

import pandas as pd
import plotly.graph_objects as go

df = data_state1
fig = go.Figure(data=go.Choropleth(
    geojson="https://gist.githubusercontent.com/jbrobst/56c13bbbf9d97d187fea01ca62ea5112/raw/e388c4cae20aa53cb5090210a42ebb9b765c0a36/india_states.geojson",
    featureidkey='properties.ST_NM',
    locationmode='geojson-id',
    locations=df['ST_NM'].str.title(), # To make lower case to CamelCase
    z=df['odval']/df['count'],
    text= df['ST_NM'].str.title(),

    autocolorscale=False,
    colorscale='Reds',
    marker_line_color='darkgreen',

    colorbar=dict(
        title={'text': "Amount"},
        thickness=35,
        len=1.0,
        bgcolor='rgba(255,255,255,0.6)',

        xanchor='right',
        x=0.0,
        yanchor='bottom',
        y=0.0
    ),
))

fig.update_geos(
    visible=True,
    projection=dict(
        type='conic conformal',
        parallels=[12.472944444, 35.172805555556],
        rotation={'lat': 24, 'lon': 80}
    ),
    lonaxis={'range': [68, 98]},
    lataxis={'range': [6, 38]}
)

fig.update_layout(
    title=dict(
        text="Average Overdue Amount over Total cases ",
        xanchor='center',
        x=0.5,
        yref='paper',
        yanchor='bottom',
        y=0.9,
        pad={'b': 0}
    ),
    margin={'r': 0, 't': 0, 'l': 0, 'b': 0},
    height=850,
    width=750
)

fig.show()

我也尝试过使用 geopandas，在该图上，我能够根据值绘制带有颜色的地图，但没有找到显示州名称和值的方法。

geopandas 的代码是：

fig, ax = plt.subplots(1, figsize=(10, 10))
ax.axis('off')
ax.set_title('ODVal/Cases distribution',
             fontdict={'fontsize': '15', 'fontweight' : '3'})
merged.plot(column='ratio_od_cases',cmap='Reds', linewidth=0.8, ax=ax, edgecolor='0', legend=True)
plt.text(,merged['State_Name'])

Answer 1

我认为在地图上添加文本最简单的方法是在 go.Scattergeo() 中使用文本模式并指定纬度和经度。从使用的geojson数据来看，geopandas用于计算文本显示的状态中心。

import pandas as pd
import numpy as np
import plotly.graph_objects as go
from urllib import request
import json

url = "https://gist.githubusercontent.com/jbrobst/56c13bbbf9d97d187fea01ca62ea5112/raw/e388c4cae20aa53cb5090210a42ebb9b765c0a36/india_states.geojson"
with request.urlopen(url) as f:
    geo_india = json.load(f)

import geopandas as gpd
df = gpd.read_file(url)

df["lon"] = df["geometry"].centroid.x
df["lat"] = df["geometry"].centroid.y
df['value'] = np.random.randint(5,50,36)

fig = go.Figure(data=go.Choropleth(
    geojson=geo_india,
    featureidkey='properties.ST_NM',
    #locationmode='geojson-id',
    locations=df['ST_NM'].str.title(), # To make lower case to CamelCase
    z=df['value'],
    text= df['ST_NM'].str.title(),
    autocolorscale=False,
    colorscale='Reds',
    marker_line_color='darkgreen',

    colorbar=dict(
        title={'text': "Amount"},
        thickness=35,
        len=1.0,
        bgcolor='rgba(255,255,255,0.6)',

        xanchor='right',
        x=0.0,
        yanchor='bottom',
        y=0.0
    ),
))

fig.update_geos(
    visible=True,
    projection=dict(
        type='conic conformal',
        parallels=[12.472944444, 35.172805555556],
        rotation={'lat': 24, 'lon': 80}
    ),
    lonaxis={'range': [68, 98]},
    lataxis={'range': [6, 38]}
)

fig.add_trace(go.Scattergeo(
    lon=df['lon'],
    lat=df['lat'],
    mode='text',
    #text=df['ST_NM'].str.title(),
    text=['{}<br>{}'.format(k,v) for k,v in zip(df['ST_NM'].str.title(), df['value'])],
    textfont={'color': 'Green'},
    name='',
))

fig.update_layout(
    title=dict(
        text="Average Overdue Amount over Total cases ",
        xanchor='center',
        x=0.5,
        yref='paper',
        yanchor='bottom',
        y=0.9,
        pad={'b': 0}
    ),
    margin={'r': 0, 't': 0, 'l': 0, 'b': 0},
    height=850,
    width=750
)

fig.show()

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