[amp_mcq option1=”min, max, idxmin, idxmax operations are supported on Series” option2=”You cannot pass a timedelta to get a particular value” option3=”Division by the numpy scalar is true division” option4=”None of the mentioned” correct=”option2″]

The correct answer is: B. You cannot pass a timedelta to get a particular value.

A. min, max, idxmin, idxmax operations are supported on Series. This is true. You can use the min(), max(), idxmin(), and idxmax() methods to get the minimum, maximum, index of the minimum value, and index of the maximum value, respectively, for a Series.

C. Division by the numpy scalar is true division. This is also true. When you divide a Series by a NumPy scalar, the result is a Series with the same index as the original Series, and each value in the result is the original value divided by the scalar.

D. None of the mentioned. This is not true. Option B is the only wrong statement.

Here is an example of how to use the min(), max(), idxmin(), and idxmax() methods:

“`python
import pandas as pd

Create a Series

series = pd.Series([1, 2, 3, 4, 5])

Get the minimum value

print(series.min())

Output: 1

Get the maximum value

print(series.max())

Output: 5

Get the index of the minimum value

print(series.idxmin())

Output: 0

Get the index of the maximum value

print(series.idxmax())

Output: 4

“`