Pandas Library MCQs | Learn Python Programming Step by Step | Python Libraries MCQs
Most important multiple choice questions for Pandas Library in Python Programming.
#pandaslibrary #pandas #pythonprogramming #pandaslibrarymcqs #pythontutorial
What is the function to read a CSV file into a pandas DataFrame?
A) read_csv()
B) import_csv()
C) load_csv()
D) pandas.csv_read()
Solution: Watch the session
How do you select a column in a pandas DataFrame?
A) df['column_name']
B) df.column_name
C) df.get_column('column_name')
D) df[:, 'column_name']
Solution: Watch the session
How do you select a row in a pandas DataFrame by its index label?
A) df.loc['index_label']
B) df['index_label']
C) df[index_label]
D) df.iloc['index_label']
Solution: Watch the session
How do you drop a row in a pandas DataFrame by its index label?
A) df.drop(index_label)
B) df.remove(index_label)
C) df.delete(index_label)
D) df.pop(index_label)
Solution: Watch the session
How do you fill missing values in a pandas DataFrame with the mean of the column?
A) df.fillna(mean)
B) df.impute(mean)
C) df.interpolate(mean)
D) df.fillna(df.mean())
Solution: Watch the session
What is pandas primarily used for in Python?
a) Data visualization
b) Data manipulation and analysis
c) Machine learning
d) Web scraping
Answer: Watch the session
Which of the following is NOT a data structure in pandas?
a) Series
b) DataFrame
c) Dictionary
d) Panel
Answer: Watch the session
How would you select the second row of a DataFrame object in pandas?
a) df.iloc[1]
b) df.loc[1]
c) df[1]
d) df[1,:]
Answer: Watch the session
What is the output of the following code?
import pandas as pd df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) df.loc[df['A'] greater than symbol 1, 'B']
Copy code
a) `4` b) `5` c) `[4, 5, 6]` d) `[5, 6]` Answer: Watch the session
Which of the following is NOT a valid way to create a Series object in pandas?
a) pd.Series([1, 2, 3])
b) pd.Series(data=[1, 2, 3])
c) pd.Series(1, 2, 3)
d) pd.Series({'a': 1, 'b': 2, 'c': 3})
Answer: Watch the session
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