Question

I need help on these functions PYTHON 3. The information about the functions is in the first two pics.
Scenario The Pokemon franchise consists of over 60 video games, 15 movies, several TV shows, a trading card game, and even a musical. It has been around for over two decades and at this point has fans of all ages. Because of this, people have become somewhat analytical about how they play the games. To help players of the Pokemon video games, some people have created a Pokemon data set with all the useful statistics, while other people have created data sets with the Pokemon's other properties (such as type). It will be your job to merge together these two data sets and give players some useful statistics and analysis of what you find CSV file: This is a file containing ASCII text where each line in the file represents one record of information, and each piece of info in the record is separated by a single comma. The very first line is the "header" row, which names the columns but is not part of the data. You will be given two CSV files to work with: an "info" file (containing information such as the Pokemon's "type" and the "generation" of the game it was introduced in) as well as a "stats" file (containing information on how good the Pokemon is at various things, such as "attack" and "defense") Below are two very small sample files that can be used in our project. Note: the file extension has no effect on the file contents; you can edit these files in your code editor, and you can give them any extension you want without changing the ability of your program. It's best not to use MS Excel, as it often uses several different notions of what a CSV file should be and it is easy to mess them up Example "info" file: ID Name Type 1 Type 2 Generation Legendary 1, "Bulbasaur", Grass Poison 1," FALSE" 6, Charizard Fire Flying",1 FALSE 4, "Charmander Fire FALSE 169 Crobat Poison "Flying",2, "FALSE" 146, "Moltres", Fire "Flying",1,"TRUE" 643 "Reshiram" Dragon Fire TRUE 641, "Tornadus, (Incarnate Form Flying 5, "TRUE Example "stats' file ID HP Attack Defense Speed 1,45,49,49,45 4,39,52,43,65 6,78,84,78, 100 146,90,100, 90,90 149,91,134, 95,80 641,79,115, 70,111 643,100,120,100, 90

Answer 1

def read_info_file(filename):
d1={}
info=[]
with open(filename,"r") as f:
f.readline()#reading headers
for line in f:
line=line.replace('"','')
count=line.count(",")
if(count==6):
str=line.split(",")
str[1]=str[1]+","+str[2]
info=[a for a in str if a.count(",")==0]
else:
info=line.split(",")
d1[info[1]]=(int(info[0]),info[2],info[3],int(info[4]),info[5]=="True")
return d1

def read_stats_file(filename):
d2={}
stats=[]
with open(filename,"r") as f:
f.readline()#reading headers
for line in f:
stats=line.split(",")
d2[int(stats[0])]=(int(stats[1]),int(stats[2]),int(stats[3]),int(stats[4]))
return d2

d1=(read_info_file("info.txt"))
d2=(read_stats_file("stats.txt"))

def combine_databases(info_db,stats_db):
finaldict={}
for names in info_db:
for id in stats_db:
a,b,c,d,e=info_db[names]
f,g,h,i=stats_db[id]
if(a==id):
finaldict[names]=(a,b,c,f,g,h,i,d,e)
break

return finaldict
print("info_db :%s "%d1)
print("stats_db :%s"%d2)
print("final_db: %s" % combine_databases(d1,d2))

read stats file 19 def read_stats_file(filename): 20 21 22 E with open(filename,"r") as f: 23 d2-1 stats [] f. readline()#reading headers for line in f: stats-line.split(",") d2[int (stats[e])]-(int (stats[1]),int (stats[2]),int (stats[3]),int (stats[4])) 25 26 27 28 29 return d2 d1-(read info file("info.txt" d2-(read stats file("stats.txt" 31 32 def combine_databases (info_db,stats_db): finaldict 34 35 for names in info db: for id in stats_db: 37 38 a,b,c,d,e-info_db[names] f,g,h,i-stats_db[id] if(a--id):

31 32 def combine_databases (info_db, stats_db): finaldict-( for names in info db: 35 E for id in stats db: a,b,c,d,e-info_db[names] f,g,h,i-stats_db[id] if(a--id): -info db 37 38 39 40 41 42 finaldict[names]-(a,b,c,f,g,h,i,d,e) break return finaldict print("info-db :%s ..Kd1) print("stats_db s"%d2) print("final-db: 45 I %s" % combine-databaseskd1, d2))