Pandas MCQs with answers Page - 11

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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Q. What is the output type of `df.dtypes`?

  • (A) List
  • (B) Series
  • (C) Dictionary
  • (D) Tuple

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Q. Which method checks if any value in a DataFrame is null?

  • (A) df.hasnull()
  • (B) df.isnull().any()
  • (C) df.check_null()
  • (D) df.isnan()

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Q. How do you change the column names of a DataFrame?

  • (A) df.columns = ['A', 'B']
  • (B) df.rename(columns=['A', 'B'])
  • (C) df.set_columns(['A', 'B'])
  • (D) df.change_columns(['A', 'B'])

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Q. What is the purpose of `drop_duplicates()`?

  • (A) Removes columns with same name
  • (B) Removes duplicate rows
  • (C) Drops NaN values
  • (D) Sorts the DataFrame

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Q. Which method is used to set multiple columns as the index?

  • (A) set_index() with a list of column names
  • (B) index_by()
  • (C) multi_index()
  • (D) set_multiindex()

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Q. Which function reads a tab-separated file?

  • (A) pd.read_csv(sep='\t')
  • (B) pd.read_tsv()
  • (C) pd.read_table(sep='tab')
  • (D) pd.read_file(sep='\t')

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Q. Which parameter is used in `fillna()` to forward fill values?

  • (A) method='ffill'
  • (B) fill='forward'
  • (C) type='carry'
  • (D) direction='down'

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Q. How do you access a value at row 0, column 'A'?

  • (A) df.loc[0, 'A']
  • (B) df['A'][0]
  • (C) df.iloc[0]['A']
  • (D) All of the above

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Q. What is the result of `df[df['col'].isnull()]`?

  • (A) DataFrame with null values in 'col'
  • (B) Null rows removed
  • (C) Column with filled values
  • (D) Only NaN values in all columns

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Q. Which method helps in changing the shape of a DataFrame from wide to long format?

  • (A) melt()
  • (B) pivot()
  • (C) flatten()
  • (D) reshape()

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