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- import pandas
- import csv
- import re
- #data_df = pandas.read_csv("values_LH.csv", sep=",")
- #print(data_df.head(3))
- #data = data_df[["X1","Y1","X2","Y2"]]
- #print(data)
- def read_csv(file):
- text = []
- with open(file, 'r') as csvFile:
- reader = csv.reader(csvFile, delimiter=",")
- for row in reader:
- text.append(row[2])
- csvFile.close()
- ###extract ISOs
- matches = []
- regex = r"(ISO\s\d\d\d\d?\W?\d?\W?\d?\W?\d?)"
- for line in text:
- match = re.findall(regex, line)
- if match:
- matches.append(match)
- print(matches)
- return text
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