A post-punk chart remake

Original: https://blog.datawrapper.de/weekly-ridgeline-plot/

import pandas as pd

from lets_plot import *

LetsPlot.setup_html()

def dataset_array_to_dataframe(dataset_array):
    df = pd.DataFrame.from_records([
        (j, i, a)
        for i, r in enumerate(dataset_array)
        for j, a in enumerate(r)
    ], columns=["x", "y", "h"])
    df.h = df.h + abs(df.h.min())
    return df

raw_data_array = pd.read_csv("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/pulsar.csv", header=None).to_numpy()
df = dataset_array_to_dataframe(raw_data_array)
print(df.shape)
df.head()

(24000, 3)

	x	y	h
0	0	0	5.24
1	1	0	5.14
2	2	0	4.96
3	3	0	5.05
4	4	0	5.46

ggplot(df) + \
    geom_area_ridges(aes("x", "y", height="h"), \
                     stat='identity', scale=.25, \
                     color="white", fill="black",
                     sampling=sampling_pick(df.shape[0])) + \
    scale_y_continuous(trans='reverse') + \
    ggsize(600, 600) + \
    theme_minimal() + theme(axis='blank', panel_grid='blank') + \
    flavor_high_contrast_dark()