I need to access the new information added to data_list in the get_data_list function within the second function which is get_month_averages, but when I try to do that, it says data_list is undefined. How do I do this?
import csv
def get_data_list(data_file):
data_file = open("table.csv", "r")
data_list = []
for line_str in data_file:
data_list.append(line_str.strip().split(','))
return data_list
def get_month_averages(data_list):
date_list = []
vol_list = []
adjclos_list = []
for row in data_list:
date_list.append(row[0])
vol_list.append(row[5])
adjclos_list.append(row[6])
all_list = [date_list, vol_list, adjclos_list]
return all_list
print (get_month_averages(data_list))
This one works:
import csv
def get_data_list():
data_file = open("table.csv", "r")
data_list = []
for line_str in data_file:
data_list.append(line_str.strip().split(','))
return data_list
def get_month_averages(data_list):
date_list = []
vol_list = []
adjclos_list = []
for row in data_list:
date_list.append(row[0])
vol_list.append(row[5])
adjclos_list.append(row[6])
all_list = [date_list, vol_list, adjclos_list]
return all_list
dList = get_data_list()
mAvg = get_month_averages(dList)
print mAvg
Related
def get_mean_temperature(filename):
with open(filename) as f:
lst = f.read().splitlines()
lst.pop(0)
result = 0
count = 0
for element in lst:
count += 1
el = int(element[6:])
result += el
print(result)
mn_tem = result / count
return mmn_tem
if __name__ == "__main__":
filename = "temp_log.txt"
with open(filename, "w") as f:
f.write("DATES T.\n07-01 28.0\n08-01 33.5\n09-01 27.0\n")
mean_temperature = get_mean_temperature(filename)
print(f"{mean_temperature:.1f}")
This is the code that I am trying to solve. So what I have to do here is to find the mean of temperature that are given in the text file, which are in this case "DATES T.\n07-01 28.0\n08-01 33.5\n09-01 27.0\n"
The text is sorted by MM-DD TT.T
Please help me have this code to work
from statistics import mean
data = "DATES T.\n07-01 28.0\n08-01 33.5\n09-01 27.0\n"
temperatures = [float(item.split()[1]) for item in data.split("\n")[1:] if item]
temperatures_mean = mean(temperatures)
print(temperatures)
print(temperatures_mean)
Output:
[28.0, 33.5, 27.0]
29.5
Or, as your original function:
from statistics import mean
def get_mean_temperature(filepath):
with open(filepath, "r") as f:
data = f.read()
temperatures = [float(item.split()[1]) for item in data.split("\n")[1:] if item]
return mean(temperatures)
I'm trying to create a new dictionary from an old one to get only the values I'll new in a df in the future. But the function I created is returning always the same key+values.
def load_data():
with open('./data/awards.json', 'r') as file:
json_file = json.load(file)
events_dict = {}
for data_raw in json_file:
events_dict['event'] = (data_raw['Event'])
#form categories_list
categories_list = []
for all_data in data_raw['Data']:
for awards_data in all_data['nomineesWidgetModel']['eventEditionSummary']['awards']:
#check if it's a premium category
if categories_data['isPremiumCategory'] == True:
for categories_data in awards_data['categories']:
categories = {}
categories['category_name'] = (categories_data['categoryName'])
#form nomination_list
nomination_list = []
for nominations_data in categories_data['nominations']:
primary_nominees = nominations_data['primaryNominees']
if len(primary_nominees)>0:
nominee1 = primary_nominees[0]['name']
secondary_nominees = nominations_data['secondaryNominees']
if len(secondary_nominees)>0:
nominee2 = secondary_nominees[0]['name']
nomination_list.append([nominee1, nominee2, nominations_data['isWinner']])
categories['nominations'] = nomination_list
categories_list.append(categories)
events_dict['categories'] = categories_list
return events_dict
My intention is to get for each award the category, nominations an if it is a winner or not. What I'm getting now is 11 times the same event.
I've tried changing the indentation, append the dict to a list first but nothing helped... I'm sure it's something pretty basic, but I'm new to Python and not seeing my error.
json file
Is it possible to do something like this?
Your logic was a bit off. You want to initialise your events_dict = {} in your loop, then you can append that into a list, which I named results.
def load_data():
with open('C:/test/awards.json', 'r') as file:
json_file = json.load(file)
results = [] #<---- initialize result list
for data_raw in json_file:
events_dict = {} #<--- here initialize your dictionary then build it
events_dict['event'] = data_raw['Event']
#form categories_list
categories_list = []
for all_data in data_raw['Data']:
for awards_data in all_data['nomineesWidgetModel']['eventEditionSummary']['awards']:
#check if it's a premium category
for categories_data in awards_data['categories']: #<---- Need to switch this line
if categories_data['isPremiumCategory'] == True: #<---This needs to follow your loop
categories = {}
categories['category_name'] = (categories_data['categoryName'])
#form nomination_list
nomination_list = []
for nominations_data in categories_data['nominations']:
primary_nominees = nominations_data['primaryNominees']
if len(primary_nominees)>0:
nominee1 = primary_nominees[0]['name']
else:
nominee1 = ''
secondary_nominees = nominations_data['secondaryNominees']
if len(secondary_nominees)>0:
nominee2 = secondary_nominees[0]['name']
else:
nominee2 = ''
nomination_list.append([nominee1, nominee2, nominations_data['isWinner']])
categories['nominations'] = nomination_list
categories_list.append(categories)
events_dict['categories'] = categories_list
results.append(events_dict) #<---- once that dictionary is filled, you can append it into that result list, then move on to make a new events_dict with the next iteration
return results
For some reason my code(following) has brought up a Value Error which I cannot understand. Please evaluate my code too. You can find the project I am trying to do at
http://www.ocr.org.uk/Images/226767-unit-j276-03-programming-project-task-1-sample-non-exam-assessment.pdf
fileid = "details for nea.txt"
ID = []
surname = []
forename = []
dob = []
addr = []
addrT = []
addrTh = []
addrF = []
addrFi = []
homNum = []
gend = []
tutor = []
schoolEm = []
def Read():
file = open(fileid, "r")
Record = file.readline()
for line in Record:
line = line.strip()
A,B,C,D,E,F,G,H,I,J,K,L,M = line.split(',')
ID.append(A)
surname.append(B)
forename.append(C)
dob.append(D)
addr.append(E)
addrT.append(F)
addrTh.append(G)
addrF.append(H)
addrFi.append(I)
homNum.append(J)
gend.append(K)
tutor.append(L)
schoolEm.append(M)
file.close()
def Save():
Record = []
file = open(fileid,"w")
for i in range(len(ID)):
Record.append(ID[i] +","+surname[i]+","+forename[i]+","+dob[i]+","+addr[i]+","+addrT[i]+","+addrTh[i]+","+addrF[i]+","+addrFi[i]+","+homNum[i]+","+gend[i]+","+tutor[i]+","+schoolEm[i]+"\n")
file.writelines(Record)
file.close()
Read()
print(ID)
print(surname)
The Text File I used goes as following:
01,abe,fat,01/02/02,5,Stoney Lane,Stur,Dorset,DR101LM,0123,M,C,email#sc. The lists titled addr, addrT represent the different lines of address.
put last three lines inside main. Value error should go away
There is a csv file, say A.csv, having content:
Place,Hotel,Food,Fare
Norway,Regal,NonVeg,5000
Poland,Jenny,Italiano,6000
Norway,Suzane,Vegeterian,4000
Norway,Regal,NonVeg,5000
I have to parse this csv and obtain an output by passing arguments in command prompt.
Example 1:
mycode.py Place
Desired output is:
Place,Fare
Norway,14000
Poland,6000
Example 2:
mycode.py Place Hotel
Desired output is:
Place,Hotel,Fare
Norway,Regal,10000
Poland,Jenny,6000
Norway,Suzane,4000
So it is clear from the above example that no matter what you pass as argument it gives you the sum of the Fare header for the common ones.
Below is my code and I am able to pass arguments and get an output, but I am stuck in sum of Fare. Can any one help me with this.
import sys
import csv
import collections
d = collections.defaultdict(list)
Data = []
Result = []
Final = []
Argvs = []
argv_len = len(sys.argv)
index = 0
input = ''
file = open('A.csv', 'rb')
try:
reader = csv.reader(file)
for row in reader:
Data.append(row)
for x in range(1, argv_len):
Argvs.append(sys.argv[x])
Argvs.append('Fare')
for input in Argvs:
for y in range(0, len(Data[0])):
if(input == Data[0][y]):
for z in range(1, len(Data)):
Result.append(Data[z][y])
break
Final.append(Result)
Result = []
New = []
NewFinal = []
for x in range(0, len(Final[0])):
for y in range(0, len(Final)):
New.append(Final[y][x])
NewFinal.append(New)
New = []
out = {}
for a in NewFinal:
out.setdefault(a[0],[]).append(int(a[-1]))
with open("output.csv", "wb") as csv_file:
writer = csv.writer(csv_file, dialect='excel', delimiter=',')
writer.writerow(Argvs)
for k,v in out.iteritems():
writer.writerow((k,sum(v)))
except Exception,e:
print str(e)
finally:
file.close()
I edit the code and tried to group it. Now I am able to get the aggregate of the Fare but not the desired output.
So when I am passing:
mycode.py Place Hotel
Instead of:
Place,Hotel,Fare
Norway,Regal,10000
Poland,Jenny,6000
Norway,Suzane,4000
I am getting:
Place,Hotel,Fare
Norway,14000
Poland,6000
Finally i managed to get my desired output.
Below i am sharing the final code. \
import sys
import csv
Data = []
Result = []
Final = []
Argvs = []
argv_len = len(sys.argv)
index = 0
input = ''
file = open('A.csv', 'rb')
try:
reader = csv.reader(file)
for row in reader:
Data.append(row)
for x in range(1, argv_len):
Argvs.append(sys.argv[x])
Argvs.append('Fare')
for input in Argvs:
for y in range(0, len(Data[0])):
if(input == Data[0][y]):
for z in range(1, len(Data)):
Result.append(Data[z][y])
break
Final.append(Result)
Result = []
New = []
NewFinal = []
for x in range(0, len(Final[0])):
for y in range(0, len(Final)):
New.append(Final[y][x])
NewFinal.append(New)
New = []
out = {}
for a in NewFinal:
count_val = a[-1]
del a[-1]
key_val = ','.join(a)
out.setdefault(key_val.strip('"'),[]).append(int(count_val))
with open("output.csv", "wb") as csv_file:
writer = csv.writer(csv_file, delimiter=',',quotechar=' ')
writer.writerow(Argvs)
for k,v in out.iteritems():
writer.writerow((k,sum(v)))
except Exception,e:
print str(e)
finally:
file.close()
It takes a file of 500 complaints, returns the number of the complaint as the key and a tuple with the make of the car, date of complaint, Crash True or False, City and State as the value.
ex) mydict("Complaints.txt")[416]
('CHRYSLER', datetime.date(1995, 1, 9), False, 'ARCADIA', 'FL')
so far I have :
from collections import defaultdict
import datetime
def fieldict(filename):
with open(filename) as f:
x=[line.split('\t')[0].strip() for line in f] #list of complaint numbers
y= line.split('\t') #list of full complaints
d={}
for j in x:
Y= True
N= False
d[j] = tuple(y[2],datetime.date(y[7]), y[6], y[12], y[13]) #dict with number of complaint as key and tuple with index as values
return d
y is the entire complaint broken up into a list with \t characters removed. If someone could point me in the right direction it would be much appreciated
You could also lean on the csv module a bit (untested):
import csv
def fieldict(filename):
fullDict = {}
with open(filename) as f:
reader = csv.reader(f, delimiter='\t')
for y in reader:
fullDict[y[0].strip()] = (y[2],datetime.date(y[7]), y[6], y[12], y[13])
return fullDict
if __name__ == "__main__":
mydict = fieldict("Complaints.txt")
print mydict[416]
if I am understanding your correctly, I think this is what you are looking for.
import datetime
def fieldict(filename):
returnDict = {}
with open(filename) as f:
for line in f:
lineList = line.split('\t')
index = lineList[0].strip()
complaint = tuple(lineList[2],datetime.date(lineList[7]), lineList[6], lineList[12], lineList[13])
returnDict[index] = complaint
return returnDict
if __name__ == "__main__":
mydict = fieldict("Complaints.txt")
print mydict[416]