Python Pandas Quiz (original) (raw)

Question: What is the purpose of the pivot_table() function in Pandas?

• To create a new DataFrame
• To pivot rows and columns in a DataFrame
• To perform statistical operations on a DataFrame
• To create a summary table

How can you handle missing values in a Pandas DataFrame?

• Use df.fillna(value) to replace missing values
• Use df.dropna() to remove rows with missing values

Question: How can you handle duplicate values in a Pandas DataFrame?

• Use the df.drop_duplicates() method
• Use the df.remove_duplicates() method
• Use the df.drop_duplicate_rows() method
• Use the df.eliminate_duplicates() method

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

• To melt a DataFrame into a longer format
• To create a melted cheese plot
• To melt a DataFrame into a wider format
• To melt a DataFrame into a binary format

What does the nunique() method in Pandas calculate?

• The number of non-null values
• The number of unique values
• The number of distinct groups
• The number of unique rows

How can you perform a time-based resampling in Pandas?

• df.groupby("time_column").resample()
• df.time_groupby().resample()

How can you save a Pandas DataFrame to a CSV file?

• df.save_csv("filename.csv")
• df.write_csv("filename.csv")
• df.to_csv("filename.csv")
• df.export_csv("filename.csv")

Question: What does the nlargest() method in Pandas do?

• Returns the smallest values in a DataFrame
• Returns the largest values in a DataFrame
• Returns the smallest values in a column
• Returns the largest values in a column

How can you reset the index of a Pandas DataFrame?

What is the purpose of the pd.cut() function in Pandas?

• To cut a DataFrame into smaller pieces
• To categorize continuous data into discrete bins
• To remove duplicate values from a DataFrame
• To concatenate DataFrames along a particular axis

There are 25 questions to complete.

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