WWakker / Ridgeline-Plots

Create ridgeline plots for grouped data

Ridgeline Plots

Create ridgeline plots for grouped data over time

Example

import pandas as pd
from ridgeline import ridgeline
import matplotlib.pyplot as plt
import matplotlib.dates as mdates


# Import data
df_raw = pd.read_csv('https://data.rivm.nl/covid-19/COVID-19_aantallen_gemeente_per_dag.csv', 
                 sep=';', 
                 parse_dates=['Date_of_publication'],
                 infer_datetime_format=True)
df_raw.columns= df_raw.columns.str.lower()

# Sum by province/date
df = df_raw.groupby(['date_of_publication', 'province']).sum().reset_index()

# Create ridgeline plot for daily cases
fig, ax = plt.subplots(figsize=(12,8))
ax = ridgeline(df, 
               ax=ax,
               col_time='date_of_publication',
               col_group='province',
               col_value='total_reported',
               norm='overall',
               frac=.08,
               scale=3,
               colormap='afmhot',
               alpha=.55,
               linspace=(0,.6))

ax.xaxis.set_major_formatter(mdates.DateFormatter('%b %Y'))
ax.set_title("COVID-19: Number of new daily cases in the Netherlands                      ", 
             color='black',fontsize=15,fontweight='roman',loc='center')
fig.text(0.043, 0.05, "Data: RIVM")
plt.show()