Pandas Questions et reponses d'entretien

Question 26. How to calculate correlation between columns in a DataFrame?

You can use the corr() method: df.corr()

Question 27. Explain the purpose of the cut() function in Pandas.

cut() is used to segment and sort data values into bins.

Example:

pd.cut(df['Values'], bins=[0, 10, 20, 30], labels=['<10', '10-20', '20-30'])

Question 28. What is the use of the nlargest() function in Pandas?

nlargest() returns the first n largest elements from a series or DataFrame.

Example:

df['Column'].nlargest(5)

Question 29. How to convert a Pandas DataFrame to a NumPy array?

You can use the values attribute: df.values

Question 30. Explain the purpose of the get_dummies() function in Pandas.

get_dummies() is used for one-hot encoding categorical variables.

Example:

pd.get_dummies(df['Category'])