- Create from a list:
pd.Series([10, 20, 30]) - Custom labels:
pd.Series([...], index=["a", "b", "c"]) - From a dict: keys become labels.
- Access by label
s["a"]or positions.iloc[0].
Pandas Series
One-dimensional labelled data.
✍️ 3 exercises + code challenge in this lessonKey Takeaways: Pandas Series
Mastering Pandas Series helps you write clean and reliable Pandas code. Follow standard conventions, test edge cases, and keep logic simple. Try running the code example below and complete the exercises to build confidence.
Pandas Series Code Example
Pandasimport pandas as pd
stock = pd.Series({"Laptop": 12, "Mouse": 150, "Monitor": 25})
print(stock)
print(stock["Mouse"])
print(stock[stock > 20])Output
Laptop 12 Mouse 150 Monitor 25 dtype: int64 150 Mouse 150 Monitor 25 dtype: int64
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Pandas Series Practice Exercises
Check what you learned in “Pandas Series”.
/ 3 solved
Fill in the blank
Create a Series.
s = pd.([10, 20, 30])
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Multiple choice
What does s.iloc[0] return?
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Code challenge
Create a Series from {"a": 1, "b": 2, "c": 3} and print the value for "b".
Write the code in the live editor. Your answer is checked automatically.
✓ Solved
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