Minimalist histogram/spark plot

dist_plot.py

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

# Overwriting colab color scheme
sns.set_style("white")

def gen(n=40):
    return np.random.normal(size=n)

rows, cols = 3, 5

fsize = 15

rownames = ['row a', 'row b', 'row c']
colnames = ['col a', 'col b', 'col c', 'col d', 'col e']

f, axs = plt.subplots(rows, cols, sharex='col', figsize=(15, 6))

for i in range(rows):
    for j in range(cols):
        _ = axs[i,j].hist(gen(), histtype='step', color='black')
        axs[i,j].set_xticks([])
        axs[i,j].set_yticks([])
        left, right = _[1][0], _[1][-1]
        axs[i,j].scatter(left, 0, c='black', s=15)
        axs[i,j].scatter(right, 0, c='black', s=15)
        
        axs[i,j].annotate(str(int(left)), 
                          xy=(left, 0), 
                          xytext=(-5, -20),
                          textcoords='offset points')
        
        axs[i,j].annotate(str(int(right)), 
                          xy=(right, 0), 
                          xytext=(-5, -20),
                          textcoords='offset points')
        
        if i == 0:
            axs[i,j].set_xlabel(colnames[j], labelpad=15, size=fsize)
            axs[i,j].xaxis.set_label_position('top')
            
        if j == 0:
            axs[i,j].set_ylabel(rownames[i], size=fsize)

f.subplots_adjust(hspace=1.5)
sns.despine(left=True, bottom=True)