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WithoutBook LIVE Mock Interviews Python Pandas Related interview subjects: 13

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Know the top Python Pandas interview questions and answers for freshers and experienced candidates to prepare for job interviews.

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Know the top Python Pandas interview questions and answers for freshers and experienced candidates to prepare for job interviews.

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Intermediate / 1 to 5 years experienced level questions & answers

Ques 3

Explain the use of the groupby function in Pandas.

groupby is used to split the data into groups based on some criteria and then apply a function to each group independently.

Example:

df.groupby('column1').mean()
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Ques 12

What is the purpose of the iterrows() function in Pandas?

iterrows() is used to iterate over DataFrame rows as (index, Series) pairs.

Example:

for index, row in df.iterrows():
    print(index, row['column'])
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Ques 14

What is the difference between Series.value_counts() and DataFrame['column'].value_counts()?

Series.value_counts() returns the counts of unique values in a Series, while DataFrame['column'].value_counts() returns counts for a specific column.
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Ques 16

Explain the use of the pd.cut() function with the `bins` parameter.

pd.cut() is used to segment and sort data values into bins. The `bins` parameter defines the bin edges.

Example:

pd.cut(df['column'], bins=[0, 25, 50, 75, 100])
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Ques 18

How do you pivot a Pandas DataFrame using the pivot() function?

Use the pivot() function to reshape the DataFrame based on column values.

Example:

df.pivot(index='index_column', columns='column_to_pivot', values='value_column')
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