| TNO | Tname | Tadd | Salary | |
| 0 | T01 | Amit | 123 Paschim Vihar | 23000 |
| 1 | T02 | Rajesh | 6/11 Ramesh Nagar | 34000 |
| 2 | T03 | Binny | 5 West Punjabhi Bagh | 12000 |
| 3 | T04 | Charu | 23Malviya Nagar | 45000 |
| 4 | T05 | Meenakshi | 19 Meera Bagh | 34000 |
(i) To write the statement to import the required library.
(ii) To create the data frame from the above dictionary.
(iii) To print the data frame.
(iv) To print the name columns.
(v) To print the complete information of the data frame.
(vi) To print the index of data frame.
(vii) To print the various attributes of the data frame i.e Shape, Dimensions, Columns and number of records.
(viii) To print the records whose salary is greater than 5000.
(ix) To create another data frame which will store all the records of the teacher whose salary is greater than 5000.
(x) To display the Salary.
(xi) To set the index to the column 'Tname'.
(xii) To display the record of 'Amit'.
(xiii) To display the record fo 'Amit' and 'Binny'
(xiv) To display the Salary and Address of 'Amit' and 'Binny'.
(xv) To display the records of the teachers whos are earning salary more than 10000.
(xvi) To display the records of the teachers whos are earning salary less than 40000.
(xvii) To add new column Dearness Allowance with any values.
(xviii) To add new column "HRA" using .loc().
(xix) To add new column tax using assign().
(xx) To display the HRA column.
(xxi) To display the records of the Teachers who have HRA of more than 500.
(xxii) To add a new column Total Salary which is to be calculated as Salary + HRA - Tax.
(xxiii) To fill all NaN values with 5000.
(xxiv) To replace all the NaN with space.
(xxv) To Update the new colum with values as Salary + HRA + Dearness Allowance - Tax
Write the output of the given commands:
