df.head(n)/df.tail(n): first or last rows.df.shape: (rows, columns).df.columns,df.dtypes,df.info()df.describe(): statistics for numeric columns.
Pandas DataFrames
Create and inspect tables.
✍️ 3 exercises + code challenge in this lessonKey Takeaways: Pandas DataFrames
Mastering Pandas DataFrames 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 DataFrames Code Example
Pandasimport pandas as pd
df = pd.DataFrame({
"product": ["Laptop", "Mouse", "Desk", "Pen"],
"price": [185000, 1500, 42000, 400],
"stock": [12, 150, 8, 300],
})
print(df.shape)
print(list(df.columns))
print(df.head(2))
print(df["price"].max())Output
(4, 3) ['product', 'price', 'stock'] product price stock 0 Laptop 185000 12 1 Mouse 1500 150 185000
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Pandas DataFrames Practice Exercises
Check what you learned in “Pandas DataFrames”.
/ 3 solved
Fill in the blank
Show the first 3 rows.
df.(3)
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Multiple choice
What does df.shape return?
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Code challenge
Print the column names of df as a list.
Write the code in the live editor. Your answer is checked automatically.
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