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- #go through csv file, speichern x und y
- #dann loop durch alle anderen x und y:
- # if abstand x weniger als
- # if abstand y weniger als
- # dann selber cluster
- # alles in ein file/variable speichern und werte löschen??? oder markieren als bereits geclustert
- # alles durchgehen
- #wenn alles durch dann neues x und y und nochmal alles von vorn
- import csv
- #csvfile = open('values.csv','r')
- #spamreader1 = list(csv.reader(csvfile, dialect='excel', delimiter=','))
- #csvFileArray = []
- csvfile1 = open('values.csv', 'r')
- spamreader1 = list(csv.reader(csvfile1, dialect='excel', delimiter=','))
- csvfile1.close()
- #print(spamreader1)
- #csvfile = open('values.csv', 'r+')
- new_rows_list = []
- with open("values.csv", "r") as csvfile:
- reader = csv.reader(csvfile, delimiter=',')
- for row in reader:
- #print(row)
- x = row[5]
- #print(x)
- y = row[6]
- #print(y)
- for row1 in spamreader1:
- #print(row1)
- x1 = row1[5]
- #print(x1)
- y1 = row1[6]
- #print(abs(float(x1) - float(x)))
- #print(abs(float(y1) - float(y)))
- if (abs(float(x1) - float(x)) < 21.0) and (abs(float(y1) - float(y)) < 40.0): # and row[7] == False:
- #print(row)
- row[4] = row[4] + " " + row1[4]
- print(row[4])
- row[7] = True
- writer = csv.writer(csvfile)
- writer.writerow(row)
- new_row = [row[0], row[1], row[2],row[3],row[4],row[5],row[6]] #write all values, including new merged text
- new_rows_list.append(new_row)
- csvfile.close()
- file2 = open("merged_values.csv", 'wb')
- writer = csv.writer(file2)
- writer.writerows(new_rows_list)
- file2.close()
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