Pass Task 2.1: Basic scripting with python
Step 5. Write a code to set the values of the rows 10 to 29 of the column 'petal_length' to NaN.
Step 6. Now again, check if there is any missing values (NaN) in the dataframe? Count, how many missing values.
Step 7. Substitute the NaN values to 10.0