Python Quiz for Pandas – 01

Python Quiz for Pandas: The pandas library stands as a cornerstone of the Python ecosystem. It empowers data scientists, analysts, and developers to efficiently work with structured data, perform complex operations, and extract valuable insights. Test your knowledge of pandas with this engaging and interactive quiz for pandas! Challenge yourself and learn fascinating python package. Quiz for pandas includes questions from basic to advance level to evaluate the skills of the developers.

Prerequisite: Knowledge of python package – pandas

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5

Pandas – 01

Level: Intermediate

1 / 10

1. How do you read a CSV file into a DataFrame?

a) pd.csv_read('file.csv')

b) pd.read_csv('file.csv')

c) pd.open_csv('file.csv')

d) pd.import_csv('file.csv')

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2. How do you write a DataFrame to an Excel file?

a) df.to_excel('file.xlsx')

b) df.export_excel('file.xlsx')

c) df.save_excel('file.xlsx')

d) df.write_excel('file.xlsx')

3 / 10

3. How do you read a JSON file into a DataFrame?

a) pd.open_json('file.json')

b) pd.json_read('file.json')

c) pd.import_json('file.json')

d) pd.read_json('file.json')

4 / 10

4. How do you get the column names of a DataFrame?

a) df.column_names()

b) df.names()

c) df.get_columns()

d) df.columns

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5. What does ‘df.info()’ method provide?

a) Data types of columns

b) Statistical summary

c) Unique values in DataFrame

d) First 5 rows

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6. How do you write a DataFrame to a CSV file?

a) df.to_csv('file.csv')

b) df.save_csv('file.csv')

c) df.export_csv('file.csv')

d) df.write_csv('file.csv')

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7. How do you count the number of unique values in a column?

a) df['column'].count_distinct()

b) df['column'].unique_count()

c) df['column'].count_unique()

d) df['column'].nunique()

8 / 10

8. How do you check the data type of each column?

a) df.types()

b) df.get_dtype()

c) df.dtype()

d) df.dtypes

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9. What does ‘df.tail()’ method return?

a) Last 10 rows

b) Last 5 rows

c) First 10 rows

d) First 5 rows

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10. How do you read an Excel file into a DataFrame?

a) pd.read_excel('file.xlsx')

b) pd.open_excel('file.xlsx')

c) pd.import_excel('file.xlsx')

d) pd.read_xls('file.xls')

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