1. What is the output of this code?

import pandas as pd
idx = pd.Index(['a', 'b', 'c'])
print(idx.is_unique)

A. False
B. True
C. Raises AttributeError
D. None

Correct answer: B.

2. What does this code return?

import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.set_index('a').index.name)

A. None
B. 'index'
C. 'a'
D. Raises KeyError

Correct answer: C.

3. What is the result?

import pandas as pd
s = pd.Series([1, 2, 3])
print(s.add(1).tolist())

A. [1, 2, 3]
B. [2, 3, 4]
C. [1, 3, 5]
D. Error

Correct answer: B.

4. What does this code output?

import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.nlargest(2, 'a')['a'].tolist())

A. [1, 2]
B. [2, 3]
C. [3, 2]
D. [3, 1]

Correct answer: C.

5. What is printed?

import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.nsmallest(1, 'a').iloc[0, 0])

A. 1
B. 2
C. 3
D. Error

Correct answer: A.

6. What does this code return?

import pandas as pd
s = pd.Series([1, 2, 3])
print(s.diff().isna().sum())

A. 0
B. 1
C. 2
D. 3

Correct answer: B.

7. What is the output?

import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.cumsum()['a'].iloc[-1])

A. 3
B. 5
C. 6
D. Error

Correct answer: C.

8. What does this code produce?

import pandas as pd
df = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})
print(df.pipe(lambda x: x.shape))

A. (1, 4)
B. (2, 2)
C. (4, 1)
D. Error

Correct answer: B.

9. What is returned?

import pandas as pd
s = pd.Series([10, 20, 30])
print(s.take([2, 0]).tolist())

A. [10, 20]
B. [30, 10]
C. [20, 30]
D. Error

Correct answer: B.

10. What does this output?

import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.any().iloc[0])

A. False
B. True
C. None
D. Error

Correct answer: B.

11. What is the result?

import pandas as pd
df = pd.DataFrame({'a': [0, 0, 1]})
print(df.all().iloc[0])

A. True
B. False
C. None
D. Error

Correct answer: B.

12. What does this code return?

import pandas as pd
s = pd.Series(['a', 'b', 'c'])
print(s.repeat(2).shape)

A. (3,)
B. (6,)
C. (2, 3)
D. Error

Correct answer: B.

13. What is printed?

import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.melt().shape)

A. (1, 3)
B. (3, 2)
C. (3, 1)
D. (1, 2)

Correct answer: B.

14. What does this code output?

import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.stack().shape)

A. (3,)
B. (3, 1)
C. (1, 3)
D. Error

Correct answer: A.

15. What is the result?

import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.unstack().isna().sum().sum())

A. 0
B. 1
C. 2
D. Error

Correct answer: A.

16. What does this code return?

import pandas as pd
s = pd.Series([1, 2, 3])
print(s.to_numpy().ndim)

A. 0
B. 1
C. 2
D. Error

Correct answer: B.

17. What is printed?

import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.axes[0].equals(df.index))

A. True
B. False
C. None
D. Error

Correct answer: A.

18. What does this code output?

import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.copy(deep=False) is df)

A. True
B. False
C. None
D. Error

Correct answer: B.

19. What is the result?

import pandas as pd
s = pd.Series([1, 2, 3])
print(s.equals(pd.Series([1, 2, 3])))

A. True
B. False
C. None
D. Error

Correct answer: A.

20. What does this code output?

import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
print(df.info() is None)

A. True
B. False
C. None
D. Error

Correct answer: A.

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