24 lines
668 B
Python
24 lines
668 B
Python
import csv
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import chardet
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def csv_to_list(path: str) -> list[str]:
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"""
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Extracts the data from a csv file and returns it as a pandas dataframe
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"""
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encoding = chardet.detect(open(path, "rb").read())["encoding"]
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with open(path, newline="", encoding=encoding) as csvfile:
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# if decoder fails to map, assign ""
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reader = csv.reader(csvfile, delimiter=";", quotechar="|")
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ret = []
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for row in reader:
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print(row)
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ret.append(row[0].replace('"', ""))
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return ret
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if __name__ == "__main__":
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text = csv_to_list("C:/Users/aky547/Desktop/semap/71.csv")
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# remove linebreaks
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print(text)
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