California Map With County Boundaries

Code

from urllib.request import urlopen
import json
with urlopen('https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json') as response:
    counties = json.load(response)

import pandas as pd
# ** the file below is hosted locally but I could alternatively write code that removes all the non-CA fip codes from the DF 
df = pd.read_csv("one_col_raw.githubusercontent.com_plotly_datasets_master_fips-unemp-16.csv",  
                   dtype={"fips": str})
df_scatter = pd.read_csv("LEA-20230424.csv",  
                   dtype={"fips": str})

import plotly.express as px

fig_scatter = px.scatter_mapbox(df_scatter, lat='Latitude', lon='Longitude',
                  # color="Policy_Manual_Exists", 
                  # size="car_hours",
                  labels={'LEA_Type': 'LEA Type', 'Mil_Equip_Policy_Exists' : 'Military Equipment Policy Exists', 'Policy_Manual_Exists' : 'Policy Manual Exists','QA_Policy_Manual': 'Policy Manual Link'},  # replaces left hand name with right hand name in hover
                  hover_name='LEA_Name',
                  hover_data=['City', 'County', 'Site', 'LEA_Type', 'Mil_Equip_Policy_Exists', 'Military Equipment Inventory Exists', 'Policy_Manual_Exists', 'QA_Policy_Manual', ],
                  color_continuous_scale=px.colors.cyclical.IceFire, size_max=15, zoom=10,
                  mapbox_style="carto-positron")

fig = px.choropleth_mapbox(df, geojson=counties, locations='fips',
                           color_continuous_scale="Viridis",
                           range_color=(0, 12),
                           mapbox_style="carto-positron",
                           zoom=4.7, center = {"lat": 37.0902, "lon": -120.7129},
                           opacity=0.5,
                          )
fig.update_geos(fitbounds="locations", visible=False)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
fig.add_trace(
    fig_scatter.data[0]
)
fig.show()