Informatics Practices
Write the use of the rename(mapper = <dict-like>, axis = 1) method for a Pandas Dataframe. Can the mapper and columns parameter be used together in a rename() method ?
Answer
The rename() method in pandas DataFrame is used to alter the names of columns or rows. It accepts various parameters, including mapper and axis, which can be used together to rename columns and rows based on a mapping dictionary. The mapper parameter allows for a dict-like object mapping old names to new names, while axis specifies whether the renaming should occur along columns (axis=1) or rows (axis=0).
Yes, the mapper parameter and the columns parameter can be used together in the rename() method of a pandas DataFrame to rename columns. The mapper parameter is used to rename columns based on a mapping dictionary where keys represent the old column names and values represent the new column names. The columns parameter allows us to directly specify new column names without using a mapping dictionary. With columns, we provide a list-like input containing the new column names, and pandas will rename the columns accordingly.
Related Questions
Write a program in Python Pandas to create the following DataFrame batsman from a Dictionary :
B_NO Name Score1 Score2 1 Sunil Pillai 90 80 2 Gaurav Sharma 65 45 3 Piyush Goel 70 90 4 Karthik Thakur 80 76 Perform the following operations on the DataFrame :
(i) Add both the scores of a batsman and assign to column "Total".
(ii) Display the highest score in both Score1 and Score2 of the DataFrame.
(iii) Display the DataFrame.
Consider the following dataframe, and answer the questions given below:
import pandas as pd df = pd.DataFrame( { "Quarter1": [2000, 4000, 5000, 4400, 10000], "Quarter2": [5800, 2500, 5400, 3000, 2900], "Quarter3": [20000, 16000, 7000, 3600, 8200], "Quarter4": [1400, 3700, 1700, 2000, 6000]})(i) Write the code to find mean value from above dataframe df over the index and column axis.
(ii) Use sum() function to find the sum of all the values over the index axis.
Find the error in the following code ? Suggest the solution.
>>> topDfRollNo Name Marks Sec A 115 Pavni 97.5 Sec B 236 Rishi 98.0 Sec C 307 Preet 98.5 Sec D 422 Paula 98.0topDf.del['Sec D']Find the error in the following code considering the same dataframe topDf given in the previous question.
(i) topDf.rename(index=['a', 'b', 'c', 'd'])
(ii) topDf.rename(columns = {})