On Tue, Feb 9, 2016 at 10:34 AM, Chelsea G <cegarcia0...@gmail.com> wrote:
> So what I am trying to do is take in a csv file and the format of the csv
> file is:
> something, something1, something2,something3, something4, something5,
> something6, something7.
> Then in the csv file I want to search for a certain range of dates like
> 1/3/2016 - 2/3/2016. I can get individual dates but not a range of dates. I
> have an if elif statement to read row5 which is the date row. My if
> statement is the initial pass at returning the values within the date range
> and then my elif is the parameter and if there is no parameter passed in
> then it returns all data. I am having some trouble trying to pass in a date
> range parameter. The piece of code is under the def populate_dict function
> the date_choice part. Here is the code:
>
> import csvimport jsonimport sysimport osfrom collections import
> defaultdictfrom collections import Counter
>
>
> The above imports are a mess! Can you format them correctly?
> UPPER_LIMIT = 5
> LOWER_LIMIT = 4
> class dictionary():
> def __init__(self):
> self.dict = defaultdict(list)
> self.counted_dict = defaultdict(list)
> self.grouped_dict = defaultdict(list)
> self.total_dict = defaultdict(list)
>
>
> def populate_dict(self, filename, date_choice, key_choice):
> with open(filename, 'rb') as f:
> reader = csv.reader(f)
> next(reader, None) #
> for row in reader:
> if date_choice == row[5]:
> self.dict[row[2]].append(row[3])
> elif date_choice == "none":
> self.dict[row[2]].append(row[3])
> if key_choice == row[3]:
> self.dict[row[2]].append(row[3])
> elif key_choice == "none":
> self.dict[row[2]].append(row[3]) def
> all_counts(self):
> data_count = Counter()
> for key in self.dict.keys():
> self.counted_dict.update({key: Counter(self.dict[key])})
> # returns the total counts for each application
> def total_counts(self):
> self.total_dict.update({'Application': 'Incident Count'})
> for key in self.dict.keys():
> total = 0
> b = Counter(self.dict[key])
> for value in b:
> total += b[value]
> self.total_dict.update({key: total})
> # returns the counts of incidents if they are greater than or equal to
> 5, and groups the rest in an "other" category
> def grouped_counts(self):
> for key in self.dict.keys():
> total = 0
> c = Counter(self.dict[key])
> self.grouped_dict[key].append(['Description', 'Incident
> Count'])
> for value in c:
> if c[value] >= UPPER_LIMIT:
> grouped_list = value, c[value]
> self.grouped_dict[key].append(grouped_list)
> elif c[value] <= LOWER_LIMIT:
> total += c[value]
> other_list = "other ", total
> self.grouped_dict[key].append(other_list)
> _______________________________________________
> Tutor maillist - Tutor@python.org
> To unsubscribe or change subscription options:
> https://mail.python.org/mailman/listinfo/tutor
>
Its hard to tell what you want to do. You should show a small (10 lines?)
input table, and show the results you want.
This is probably much easier to solve by importing csv to a sqlite
database, then running some simple date range queries. Do you know any sql?
--
Joel Goldstick
http://joelgoldstick.com/stats/birthdays
_______________________________________________
Tutor maillist - Tutor@python.org
To unsubscribe or change subscription options:
https://mail.python.org/mailman/listinfo/tutor
