histogram bins

hist_1.py

fig,ax = plt.subplots(2,3,figsize=(15,10))
row = col = 0
np.random.seed(11)
norm_dist = np.random.randn(1000)
for n,i in enumerate(np.linspace(5,100,6)):
    if (n>0) & (n%3==0):
        row += 1
        col = 0
    sns.histplot(x=norm_dist,bins=int(i),ax=ax[row,col])
    ax[row,col].set_title(f'bins = {int(i)}')
    col += 1

hist_2.py

np.random.seed(11)
norm_dist = np.random.randn(1000)
bin_count = int(np.ceil(np.log2(len(norm_dist))) + 1)
fig = plt.figure(figsize=(7,7))
sns.histplot(x=norm_dist,bins=bin_count)
plt.title(f'bins = {bin_count}')

hist_3.py

import pandas as pd
np.random.seed(11)
norm_dist = pd.Series(np.random.randn(1000))
q1 = norm_dist.quantile(0.25)
q3 = norm_dist.quantile(0.75)
iqr = q3 - q1
bin_width = (2 * iqr) / (len(norm_dist) ** (1 / 3))
bin_count = int(np.ceil((norm_dist.max() - norm_dist.min()) / bin_width))
fig = plt.figure(figsize=(7,7))
sns.histplot(x=norm_dist,bins=bin_count)
plt.title(f'bins = {bin_count}')