import matplotlib.pyplot as plt

# Assuming your 10 series are in a list
series_list = [s1, s2, s3, s4, s5, s6, s7, s8, s9, s10]

fig, axes = plt.subplots(5, 2, figsize=(12, 15))
axes = axes.flatten()

for i, s in enumerate(series_list):
    axes[i].hist(s, bins=20, edgecolor='k')
    axes[i].set_title(f'Series {i+1} Distribution')

plt.tight_layout()
plt.show()

import seaborn as sns
sns.kdeplot(s, ax=axes[i], fill=True)