Plotly の Locationmode を使用したコロプレス マップ

plotly.express.choropleth(
    data_frame=None,
    lat=None,
    lon=None,
    locations=None,
    locationmode=None,
    geojson=None,
    color=None,
    scope=None,
    center=None,
    title=None,
    width=None,
    height=None,
)

import plotly.express as px

figure = px.choropleth(locationmode="USA-states", color=[2], scope="usa")
figure.show()

import plotly.express as px

figure = px.choropleth(
    locations=["WA", "GA", "FL", "NY"],
    locationmode="USA-states",
    color=[2, 4, 6, 8],
    scope="usa",
)
figure.show()

import json
import pandas as pd
import plotly as plt
import plotly.express as px
from urllib.request import urlopen

# Brazil coordinates / shape
with urlopen(
    "https://raw.githubusercontent.com/codeforamerica/click_that_hood/master/public/data/brazil-states.geojson"
) as response:
    brazil = json.load(response)

# Since the database doesn't have an ID or feature using which values will be mapped between the coordinate/shape database and soybean database, we are adding an ID ourselves.
for feature in brazil["features"]:
    feature["id"] = feature["properties"]["name"]

# Soybean database for states in Brazil
soybean = pd.read_csv(
    "https://raw.githubusercontent.com/nayanemaia/Dataset_Soja/main/soja%20sidra.csv"
)

figure = px.choropleth(
    soybean,  # soybean database
    locations="Estado",  # define the limits on the map/geography
    geojson=brazil,  # shape information
    color="Produção",  # defining the color of the scale via database
    hover_name="Estado",  # details to show on hover
    hover_data=["Longitude", "Latitude"],  # details to show on hover
    title="Soybean production in Brazil",  # title of the map
)
figure.update_geos(fitbounds="locations", visible=False)
figure.show()

import pandas as pd
import plotly.express as px

cases = pd.read_csv(
    "https://gist.githubusercontent.com/jbrobst/56c13bbbf9d97d187fea01ca62ea5112/raw/e388c4cae20aa53cb5090210a42ebb9b765c0a36/active_cases_2020-07-17_0800.csv"
)
shape = "https://gist.githubusercontent.com/jbrobst/56c13bbbf9d97d187fea01ca62ea5112/raw/e388c4cae20aa53cb5090210a42ebb9b765c0a36/india_states.geojson"

figure = px.choropleth(
    cases,
    geojson=shape,
    # ID or feature to use for mapping values between the two databases
    featureidkey="properties.ST_NM",
    locations="state",
    color="active cases",  # a field in the COVID cases database used for the color
    color_continuous_scale="Blues",
)
figure.update_geos(fitbounds="locations", visible=False)
figure.show()