Python Pandas: Detecting Missing Values in Excel Data

This code reads in an Excel file located at 'D:\incom.xlsx' using the pandas library and assigns it to the variable 'income'.

The next line of code applies a lambda function to the 'income' dataframe. This lambda function takes each column of the dataframe and checks how many values in that column are null (i.e. NaN or missing values). The np.sum() function is used to sum up the number of null values in each column.

The output of this code will be a series of the sum of null values for each column in the 'income' dataframe.