Create A Covid System and A Pokemon Game in The Python Assignment Solution

July 03, 2024

Martin Jonas

🇦🇺 Australia

Python

Dr. Martin Jonas, PhD in Computer Science from Southern Cross University, Australia. With 4 years of experience in Python assignments, I offer expert guidance and support to help you excel in your programming projects.

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Instructions
Requirements and Specifications

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Instructions

Objective

Write a python assignment program to create a covid system and a pokemon game.

Requirements and Specifications

Create a management system regarding covid database
Work with csv files and data sets
Create a Pokemon game using instructions and proper methods.

Source Code

COVID
from functools import cmp_to_key
def read(filename):
    f = open(filename, 'r')
    header = ''
    pokemons = []
    first = True
    for line in f.read().splitlines():
        if first:
            header = line
            first = False
        else:
            pokemons.append(line.split(','))
    f.close()
    return header, pokemons
def problem1(covid):
    for c in covid:
        if '-' in c[1]:
            parts = c[1].split('-')
            c[1] = str(round((float(parts[0]) + float(parts[1]))/2))
def problem2(covid):
    for c in covid:
        for i in range(8,11):
            parts = c[i].split('.')
            c[i] = parts[1] + '.' + parts[0] + '.' + parts[2]
def problem3(covid):
    tmp = {}
    for c in covid:
        province = c[4]
        if province not in tmp:
            tmp[province] = [[0, 0.0], [0, 0.0]]
        if c[6] != 'NaN':
            tmp[province][0][0] += 1
            tmp[province][0][1] += float(c[6])
        if c[7] != 'NaN':
            tmp[province][1][0] += 1
            tmp[province][1][1] += float(c[7])
    for c in covid:
        province = c[4]
        if c[6] == 'NaN':
            if tmp[province][0][0] > 0:
                c[6] = str(round(tmp[province][0][1] / tmp[province][0][0], 2))
        if c[7] == 'NaN':
            if tmp[province][1][0] > 0:
                c[7] = str(round(tmp[province][1][1] / tmp[province][1][0], 2))
def problem4(covid):
    tmp = {}
    for c in covid:
        province = c[4]
        if province not in tmp:
            tmp[province] = {}
        if c[3] != 'NaN':
            if c[3] not in tmp[province]:
                tmp[province][c[3]] = 0
            tmp[province][c[3]] += 1
    map = {}
    for p in tmp:
        cities = list(tmp[p].keys())
        def compare(city1, city2):
            diff = tmp[p][city2] - tmp[p][city1]
            if diff != 0:
                return diff
            if city1 < city2:
                return -1
            if city1 > city2:
                return 1
            return 0
        cities.sort(key=cmp_to_key(compare))
        map[p] = cities[0]
    for c in covid:
        if c[3] == 'NaN':
            c[3] = map[c[4]]
def problem5(covid):
    tmp = {}
    for c in covid:
        province = c[4]
        if province not in tmp:
            tmp[province] = {}
        if c[11] != 'NaN':
            if c[11] not in tmp[province]:
                tmp[province][c[11]] = 0
            tmp[province][c[11]] += 1
    map = {}
    for p in tmp:
        syms = list(tmp[p].keys())
        def compare(sym1, sym2):
            diff = tmp[p][sym2] - tmp[p][sym1]
            if diff != 0:
                return diff
            if sym1 < sym2:
                return -1
            if sym1 > sym2:
                return 1
            return 0
        syms.sort(key=cmp_to_key(compare))
        map[p] = syms[0]
    for c in covid:
        if c[11] == 'NaN':
            c[11] = map[c[4]]
header, covid = read('covidTrain.csv')
problem1(covid)
problem2(covid)
problem3(covid)
problem4(covid)
problem5(covid)
fout = open('covidResult.csv', 'w')
fout.write(header + '\n')
for c in covid:
    fout.write(','.join(c) + '\n')
fout.close()
POKEMON
def read(filename):
    f = open(filename, 'r')
    header = ''
    pokemons = []
    first = True
    for line in f.read().splitlines():
        if first:
            header = line
            first = False
        else:
            pokemons.append(line.split(','))
    f.close()
    return header, pokemons
def problem1(pokemons):
    fire_pokemons = []
    for p in pokemons:
        if p[4] == 'fire':
            fire_pokemons.append(p)
    total = len(fire_pokemons)
    up40 = 0
    for p in fire_pokemons:
        if float(p[2]) >= 40.0:
            up40 += 1
    ratio = round(100 * up40 / total)
    fout = open('pokemon1.txt', 'w')
    fout.write('Percentage of fire type Pokemons at or above level 40 = ' + str(ratio))
    fout.close()
def problem2(pokemons):
    types_by_weakness = {}
    for p in pokemons:
        weakness = p[5]
        type = p[4]
        if weakness not in types_by_weakness:
            if type != 'NaN':
                types_by_weakness[weakness] = {type : 1}
        else:
            if type != 'NaN':
                if type in types_by_weakness[weakness]:
                    types_by_weakness[weakness][type] += 1
                else:
                    types_by_weakness[weakness][type] = 1
    map = {}
    for w in types_by_weakness:
        types = list(types_by_weakness[w].keys())
        def compare(type1, type2):
            diff = types_by_weakness[w][type2] - types_by_weakness[w][type1]
            if diff != 0:
                return diff
            if type1 < type2:
                return -1
            if type1 > type2:
                return 1
            return 0
        def sort_records(records):
            for i in range(len(records) - 1):
                for j in range(len(records) - 1 - i):
                    if compare(records[j], records[j+1]) > 0:
                        sw = records[j+1]
                        records[j+1] = records[j]
                        records[j] = sw
        sort_records(types)
        map[w] = types[0]
    for p in pokemons:
        type = p[4]
        if type == 'NaN':
            p[4] = map[p[5]]
def problem3(pokemons):
    threshold = 40.0
    attr = ['atk', 'def', 'hp']
    comp40 = [False, True]
    tmp = {}
    for a in attr:
        for c in comp40:
            tmp[(a,c)] = [0, 0]
    for p in pokemons:
        level = float(p[2])
        for i in range(3):
            if p[6+i] != 'NaN':
                tmp[(attr[i], (level >= threshold))][0] += 1
                tmp[(attr[i], (level >= threshold))][1] += float(p[6+i])
    for p in pokemons:
        level = float(p[2])
        for i in range(3):
            if p[6+i] == 'NaN':
                p[6+i] = str(round(tmp[(attr[i], (level >= threshold))][1] / tmp[(attr[i], (level >= threshold))][0], 1))
def problem4(pokemons):
    personalities_by_type = {}
    for p in pokemons:
        if p[4] not in personalities_by_type:
            personalities_by_type[p[4]] = [p[3]]
        else:
            if p[3] not in personalities_by_type[p[4]]:
                personalities_by_type[p[4]].append(p[3])
    types = list(personalities_by_type.keys())
    types.sort()
    f = open('pokemon4.txt', 'w')
    for t in types:
        personalities_by_type[t].sort()
        f.write(t + ': ')
        f.write(', '.join(personalities_by_type[t]))
        f.write('\n')
    f.close()
def problem5(pokemons):
    hp_sum = 0.0
    hp_count = 0
    for p in pokemons:
        if float(p[9]) >= 3.0:
            hp_count += 1
            hp_sum += float(p[8])
    f = open('pokemon5.txt', 'w')
    f.write('Average hit point for Pokemons of stage 3.0 = ' + str(round(hp_sum / hp_count)))
    f.close()
header, pokemons = read('pokemonTrain.csv')
problem1(pokemons)
problem2(pokemons)
problem3(pokemons)
fout = open('pokemonResult.csv', 'w')
fout.write(header + '\n')
for p in pokemons:
    fout.write(','.join(p) + '\n')
fout.close()
problem4(pokemons)
problem5(pokemons)

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