Pandas MCQs with answers Page - 19

Here, you will find a collection of MCQ questions on Pandas. Go through these questions to enhance your preparation for upcoming examinations and interviews.

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Shyam Dubey • 3.70K Points
Extraordinary

Q. Which method is used to apply a function along a DataFrame axis?

  • (A) map()
  • (B) apply()
  • (C) transform()
  • (D) aggregate()

S

Shyam Dubey • 3.70K Points
Extraordinary

Q. Which method is used to combine DataFrames with overlapping columns, filling missing values with NaN?

  • (A) merge()
  • (B) concat()
  • (C) join()
  • (D) combine_first()

S

Shyam Dubey • 3.70K Points
Extraordinary

Q. Which method is used to calculate the cumulative product of elements over a DataFrame or Series?

  • (A) cumprod()
  • (B) cumsum()
  • (C) prod()
  • (D) aggregate()

S

Shyam Dubey • 3.70K Points
Extraordinary

Q. Which pandas function is used to pivot a table with aggregation?

  • (A) pivot()
  • (B) pivot_table()
  • (C) melt()
  • (D) stack()

S

Shyam Dubey • 3.70K Points
Extraordinary

Q. Which pandas method is used to randomly sample rows from a DataFrame?

  • (A) sample()
  • (B) rand()
  • (C) shuffle()
  • (D) take()

S

Shyam Dubey • 3.70K Points
Extraordinary

Q. Which method converts a pandas DataFrame to an HTML table?

  • (A) to_html()
  • (B) to_table()
  • (C) to_string()
  • (D) to_csv()

S

Shyam Dubey • 3.70K Points
Extraordinary

Q. Which method is used to expand lists or dicts in a DataFrame column into separate columns?

  • (A) explode()
  • (B) melt()
  • (C) stack()
  • (D) unstack()

S

Shyam Dubey • 3.70K Points
Extraordinary

Q. Which pandas method is used to count the frequency of values in a Series?

  • (A) count()
  • (B) value_counts()
  • (C) nunique()
  • (D) unique()

S

Shyam Dubey • 3.70K Points
Extraordinary

Q. Which method removes all rows where any column is NaN in a DataFrame?

  • (A) dropna()
  • (B) fillna()
  • (C) replace()
  • (D) notna()

S

Shyam Dubey • 3.70K Points
Extraordinary

Q. Which method replaces NaN with a specified value in a DataFrame or Series?

  • (A) fillna()
  • (B) replace()
  • (C) dropna()
  • (D) isna()

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