University of Arizona, Department of Computer Science

CSc 120: Pokemon Examples

It can be helpful, for testing and debugging, to start out with small input files and work up to larger inputs. In addition to the full Pokemon.csv dataset, the examples below also use four smaller slices of the full dataset. In each case, the program had four queries submitted (the queries used a mixture of upper- and lower-case characters to test the case-insensitive comparison in the code):

speed ATTACK Defense hP

The characteristics of the five input files, and the results of these four queries, are as follows.

PokeInfo-tiny.csv. The first 3 lines from the full dataset. There are two Pokemon, and only one type.
speed Grass: 52.5 ATTACK Grass: 55.5 Defense Grass: 56.0 hP Grass: 52.5
PokeInfo-small.csv. The first 12 lines from the full dataset. There are 11 Pokemon, from three different types.
speed Fire: 89.0 ATTACK Fire: 86.8 Defense Grass: 79.5 hP Grass: 66.25
PokeInfo-100.csv. The first 100 lines from the full dataset. There are 99 Pokemon from 12 types.
speed Psychic: 116.25 ATTACK Fighting: 99.0 Defense Rock: 115.0 hP Fairy: 82.5

PokeInfo-250.csv. The first 250 lines from the full dataset. 249 Pokemon, 17 types.

speed
Ghost: 100.0
ATTACK
Fighting: 102.85714285714286
Defense
Steel: 190.0
hP
Normal: 78.3529411764706

Pokemon.csv. The complete dataset. 800 Pokemon, 18 types.

speed
Flying: 102.5
ATTACK
Dragon: 112.125
Defense
Steel: 126.37037037037037
hP
Dragon: 83.3125