Hi,
So what I am working on is taking a csv file and only taking 2 columns from
the spreadsheet and out putting that to a text file. Then taking those two
columns and organize them by product(key) and outputting the
description(values) that are associated. Some products have a lot of
duplicate descriptions and I am trying to get the counts of those. I have a
piece of code that takes anything greater then 5 and prints that and also
anything 4 or less goes into an 'other' category with the counts.So what I
am trying to do now is import a csv and change it to a text file with the
same naming convention as the csv. But I want the text file to have the
results from the json function. I want the text file that I am trying to
output to have the same name as the filename I am importing. The file that
I am inputting in the def populate_dict (usually the files are named
weekly_and the date...ex: weekly_20160102.csv) and then i want to run all
my code i have, but then in the def json_output instead of having the
filename which i have now is 'test.txt' I want to have weekly_20160102.txt
same naming convention as the csv file i am inputting. In my code I am soft
coding the filename so that the user is prompted to enter what file they
want to use.
import csvimport jsonimport sysimport osfrom collections import
defaultdictfrom collections import Counter
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.other_dict = defaultdict(list)
self.final_dict = defaultdict(list)
self.total_dict = defaultdict(list)
def populate_dict(self, filename):
with open(filename, 'rb') as f:
reader = csv.reader(f)
next(reader, None)
for row in reader:
self.dict[row[2]].append(row[3])
with open(filename, 'r') as searchfile, open('weekly_test.txt',
'w')
as search_results_file:
for line in searchfile:
if 'PBI 43125' in line:
print >>search_results_file, line
def all_counts(self):
data_count = Counter()
for key in self.dict.keys():
self.counted_dict.update({key: Counter(self.dict[key])})
def total_counts(self):
for key in self.dict.keys():
total = 0
b = Counter(self.dict[key])
for value in b:
total += b[value]
new_list = str(total)
#self.total_dict.update({key: 'Total count for this
application: ' + str(total)})
#self.total_dict.update({key: str(total)})
self.total_dict[key].append(new_list)
def grouped_counts(self):
for key in self.dict.keys():
total = 0
c = Counter(self.dict[key])
for value in c:
if c[value] >= upper_limit:
new_list = value, str(c[value])
self.grouped_dict[key].append(new_list)
elif c[value] <= lower_limit:
total += c[value]
self.other_dict.update({key: 'other: ' + str(total)})
for d in (self.grouped_dict, self.other_dict, self.total_dict):
for key, value in d.iteritems():
self.final_dict[key].append(value)
def json_output(self):
with open('test.txt', 'w') as text_file:
json.dump(self.final_dict, text_file, sort_keys = True,
indent = 4
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