plotlyobj.py

import plotly.graph_objects as go

import pandas as pd

daily_us_url = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports_us/04-21-2020.csv'
df = pd.read_csv(daily_us_url)


df = df.dropna(axis=0, subset=['Lat'])
df = df.fillna(0)
df['text'] = df['Province_State'] + ': ' + df['Active'].astype(int).astype(str)
df['Active'] = df['Active']/3000
df['Active'] = df['Active'].astype(int)

fig = go.Figure(data=go.Scattergeo(
    lon=df['Long_'],
    lat=df['Lat'],
    text=df['text'],
    mode='markers',
    marker_color=df['Active'],
    marker=dict(
        size=df['Active'],
        # https://plotly.github.io/plotly.py-docs/generated/plotly.graph_objects.Scattergeo.html#plotly.graph_objects.scattergeo.Marker.colorscale
        colorscale='jet',
        showscale=True
    )
))

fig.update_layout(
    title='COVOD-19 daily reports of active patients in USA by states',
    geo=dict(
        scope='usa',
    ),
)
fig.show()