Code Explanation:
Importing Pandas
import pandas as pd
Purpose: This imports the Pandas library and gives it the short alias pd (common convention in Python).
Why: Pandas is used for data manipulation; in this case, we’ll use its Series data structure.
Creating a Pandas Series
s = pd.Series([5, 8, 12, 18, 22])
What it does: Creates a one-dimensional Pandas Series containing the values 5, 8, 12, 18, and 22.
Internally: It’s like a list but with extra features, including an index for each value.
Conditional Filtering & Updating
s[s < 10] *= 2
Step 1 — Condition: s < 10
Produces a Boolean mask: [True, True, False, False, False]
Meaning: The first two elements (5 and 8) meet the condition.
Step 2 — Selection: s[s < 10]
Selects only the values [5, 8].
Step 3 — Multiplication Assignment: *= 2
Doubles those selected values in place: [5 → 10, 8 → 16].
Resulting Series:
0 10
1 16
2 12
3 18
4 22
dtype: int64
Calculating the Sum
print(s.sum())
.sum(): Adds up all values in the Series.
Calculation: 10 + 16 + 12 + 18 + 22 = 78
Output:
78
Final Output: 78
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