3.1. Exercises
Slicing and Dicing Practice
My dataframe object name is fruit_salad.
name colour location seed shape sweetness water-content weight
0 apple red canada True round True 84 100
1 banana yellow mexico False long True 75 120
2 cantaloupe orange spain True round True 90 1360
3 dragon-fruit magenta china True round False 96 600
4 elderberry purple austria False round True 80 5
5 fig purple turkey False oval False 78 40
6 guava green mexico True oval True 83 450
7 huckleberry blue canada True round True 73 5
8 kiwi brown china True round True 80 76
9 lemon yellow mexico False oval False 83 65
Coding Questions
Instructions:
Running a coding exercise for the first time, could take a bit of time for everything to load. Be patient, it could take a few minutes.
When you see ____ in a coding exercise, replace it with what you assume to be the correct code. Run it and see if you obtain the desired output. Submit your code to validate if you were correct.
This following code chunk will be used to give you an output of the data hockey_players. This will help answer and code in the exercises following it.
Practicing Rows Slicing
Using our hockey_players data from the last few questions, let’s try slicing it.
Tasks:
- Select the players
Guillaume BriseboistoQuinn Hughes. - Save the new sliced dataframe as object
benched_players. - Display it.
Practicing Column Slicing
Using our hockey_players data from the last few questions, let’s try slicing it.
Tasks:
- Select the players
Adam GaudettetoBrandon Sutterand the columnsPlayer,No.,Age,Height,WeightandCountry. - Save the new sliced dataframe as object
star_players. - Display it.