Task 1: Write a program that creates a data frame called students that contains height in cm and weight in kg in descending order. if there are blanks i.e. NA fill them with 50.
Task 2: Find teh avaergae and maximum height and weight.
Task 3: Compute a liner fit for the data of the form a*x +b. Find a and b.
Task 4: Plot this data using 2D plot X-axis height and Y-axis weight. Use appropiate Xlimit nad Ylimit.
Task 5:Plot the linear fit line on the top of the graph in task 3.
| Students | Height | Weight |
|---|---|---|
| Sam | 169 | 69 |
| Tom | 167 | 65 |
| Peter | 161 | 62 |
| Pete | 157 | 61 |
| Mark | 151 | 58 |
| Sarah | 149 | 54 |
| Susan | 146 | 52 |
| Gary | 142 | 51 |
| Fergus | 140 | 49 |
| Harry | 141 | 45 |
| Niamh | 136 | 41 |
Python Code
Task 1:
import pandas as pd import numpy as np students = {'Height(cm)': [169 , 167, 161 , 157 , 151 , 149 , 146 , 142 , 140 , 141 , 136], 'Student': ['Sam', 'Tom', 'Peter', 'Pete', 'Mark', 'Susan', 'Sarah', 'Gary', 'Fergus', 'Harry', 'Niamh'], 'Weight(kg)': [69 , 65 , 62 , 61 , 58 , 54 , 52 , 51, 49 , 45 , 41] } df = pd.DataFrame(students)
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