Examples / starter code for plotting maps in plotly

The plotly package, in addition to seaborn, is a powerful visualization resource. Depending on your application, the ability to draw maps (heatmaps, occurrences, etc.) may be helpful.

# If you need to install plotly, uncomment the following line
# !pip install plotly

import plotly.graph_objects as go

import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2011_february_us_airport_traffic.csv')

fig = go.Figure(data=go.Scattergeo(
        lon = df['long'],
        lat = df['lat'],
        mode = 'markers',
        marker_size = df['cnt'] / max(df['cnt']) * 50
))

fig.update_layout(
        title = 'Most trafficked US airports<br>(Hover for airport names)',
        geo_scope='usa',
    )
fig.show()

import plotly.graph_objects as go

import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_us_cities.csv')
df.head()

df['text'] = df['name'] + '<br>Population ' + (df['pop']/1e6).astype(str)+' million'
limits = [(0,3),(3,11),(11,21),(21,50),(50,3000)]
colors = ["royalblue","crimson","lightseagreen","orange","lightgrey"]
cities = []
scale = 5000

fig = go.Figure()

for i in range(len(limits)):
    lim = limits[i]
    df_sub = df[lim[0]:lim[1]]
    fig.add_trace(go.Scattergeo(
        locationmode = 'USA-states',
        lon = df_sub['lon'],
        lat = df_sub['lat'],
        text = df_sub['text'],
        marker = dict(
            size = df_sub['pop']/scale,
            color = colors[i],
            line_color='rgb(40,40,40)',
            line_width=0.5,
            sizemode = 'area'
        ),
        name = '{0} - {1}'.format(lim[0],lim[1])))

fig.update_layout(
        title_text = '2014 US city populations<br>(Click legend to toggle traces)',
        showlegend = True,
        geo = dict(
            scope = 'usa',
            landcolor = 'rgb(217, 217, 217)',
        )
    )

fig.show()