Series: The One‑Dimensional Pandas Object

Series Deep Dive

A Series is essentially a labeled array.

Creating Series from different sources

# From a list
s1 = pd.Series([100, 200, 300])

# From a dict (keys become index)
prices = {'apple': 0.99, 'banana': 0.5, 'cherry': 2.5}
s2 = pd.Series(prices)
print(s2)

Accessing elements

print(s2['banana'])   # 0.5
print(s2.iloc[0])     # 0.99 (positional)

Vectorized operations

print(s2 * 1.1)   # increase all prices by 10%

Handling missing data in Series

s3 = pd.Series([1, None, 3])
print(s3.isna())
print(s3.fillna(0))