如何使用 Plotly Choropleth 显示分类变量的所有值

Question

The task is to display the state wise category when mouse is hovered over the state, but it is displaying only the last option for all the states which is vegetables.

Here is the code which I have tried.

fig = px.choropleth(data, 
                    locations="id", 
                    geojson=state,
                    color="Category",
                    hover_name="State",
                    scope="usa",
                    hover_data = ["Year", "Dollars"]
                    )

fig.show()

The result which I am getting now.

How can I display all the values which are there in Category variable?

Dataset Link: https://github.com/satyam2829/Choropleth

Answer 1

• your data does not seem very suitable for what you are trying to achieve. Have de-duped and summarised
  • created ColumnList all categories in state
  • created Categories count of categories in state
• modified plotly express choropleth() to use this summarised data
• to make colors would correctly, it's normally the case you need to defined featureidkey to link dataframe column to appropriate property in GeoJSON

import requests
import pandas as pd
import numpy as np
import plotly.express as px

state = requests.get(
    "https://raw.githubusercontent.com/satyam2829/Choropleth/main/us-states.json"
).json()
data = pd.read_csv(
    "https://raw.githubusercontent.com/satyam2829/Choropleth/main/WeeklyFoodPrices.csv"
)
data["Date"] = pd.to_datetime(data["Date"])


# 1. de-dup data,  take just last date for each state
# 2. summarise data for state as each state has many categories
data = (
    data.merge(
        data.groupby("State", as_index=False).agg({"Date": "max"}),
        on=["State", "Date"],
        how="inner",
    )
    .groupby(["State", "Date"], as_index=False)
    .agg(
        Category=("Category", "last"),
        Dollars=("Dollars", "last"),
        LastYear=("LastYear", "last"),
        CategoryList=("Category", list),
        Categories=("Category","size")
    )
)

fig = px.choropleth(
    data,
    locations="State",
    featureidkey="properties.name",  # needed as this is the common property
    geojson=state,
    color="Category",
    hover_name="State",
    scope="usa",
    hover_data=["LastYear", "Dollars", "Categories", "CategoryList"],
)

fig