Choropleth chart of scikit-image website visits

skimage-analytics-choropleth.py

import plotly.express as px 
import pandas as pd

# Analytics file downloaded from matomo, each line is a visit
df = pd.read_csv('december10-skimage.csv', encoding='utf-16le')
df['unit'] = 1
df['hour'] = pd.to_datetime(df['serverTimePretty']).dt.hour
# For each country and hour, count number of visitors
dfg = df[['unit', 'country', 'hour']].groupby(['country', 'hour']).sum()
dfg.reset_index(inplace=True)
# Data cleaning, remove unknown
dfg = dfg.query("country != 'Unknown'")
dfg.sort_values(by='hour', inplace=True)

# Plotly figure
fig = px.choropleth(dfg, locations='country', color='unit', locationmode='country names',
                    animation_frame='hour', range_color=(0, dfg['unit'].max()),
                    color_continuous_scale='RdPu')

# Add a different title for each frame
for i, frame in enumerate(fig.frames):
    frame.layout.title = 'GMT time %d:00, visitors of https://scikit-image.org' %i
fig.show()