Pandas — Time Series

Create Series

import pandas as pd

# From list
s = pd.Series([1, 2, 3, 4, 5])
print(s)

# With index
s = pd.Series([1, 2, 3], index=['a', 'b', 'c'])
print(s)

Operations

s = pd.Series([10, 20, 30, 40])

print(s + 5)      # Add
print(s * 2)      # Multiply
print(s.mean())   # Mean
print(s.sum())    # Sum

Indexing

s = pd.Series([10, 20, 30], index=['a', 'b', 'c'])

print(s['a'])     # By label
print(s[0])       # By position
print(s[['a', 'c']])  # Multiple

Boolean indexing

s = pd.Series([1, 2, 3, 4, 5])
print(s[s > 3])

Mini Practice

1. Create Series
2. Perform operations
3. Use indexing
4. Apply boolean masks

Up Next

Continue with DataFrame - 2D labeled data structure.