Pandas — Sorting

Sort by values

import pandas as pd

df = pd.DataFrame({'name': ['Alice', 'Bob', 'Charlie'], 'age': [25, 30, 35]})

# Sort ascending
print(df.sort_values('age'))

# Sort descending
print(df.sort_values('age', ascending=False))

# Multiple columns
print(df.sort_values(['age', 'name'], ascending=[True, False]))

Sort by index

df = df.set_index('name')
print(df.sort_index())

Nlargest/Nsmallest

print(df.nlargest(2, 'age'))
print(df.nsmallest(2, 'age'))

Mini Practice

1. Sort by column
2. Sort descending
3. Sort by index
4. Use nlargest/nsmallest

Up Next

Continue with String - String operations.