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()
WWakker/Ridgeline-Plots

Ridgeline Plots

Example
