# 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.
Key Topics
• 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
`COVIDfrom functools import cmp_to_keydef 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, pokemonsdef 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()POKEMONdef 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, pokemonsdef 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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