Python: read csv file
# This is a sample Python script. from os import listdir import csv import numpy import pandas as pd # C:\\Users\\geovindu\\PycharmProjects\\pythonProjectLinuolin\\venv\data\\10.csv def print_hi(name): # Use a breakpoint in the code line below to debug your script. print(f'Hi, {name}') # Press Ctrl+F8 to toggle the breakpoint. if __name__ == '__main__': print_hi('PyCharm') fname=listdir('C:\\Users\\geovindu\\PycharmProjects\\pythonProjectLinuolin\\venv\data\\') for filename in fname: print(filename) with open('C:\\Users\\geovindu\\PycharmProjects\\pythonProjectLinuolin\\venv\data\\10.csv') as csv_file: csv_reader = csv.reader(csv_file, delimiter=',') line_count = 0 for row in csv_reader: if line_count == 0: print(f'Column {", ".join(row)}') line_count += 1 else: print(f'\t{row[0]}, {row[1]} ,{row[2]}.') line_count += 1 if line_count == 4: for rows in csv_reader: if line_count == 4: print(f'Column {", ".join(rows)}') line_count += 1 else: print(f'\t{rows[0]} ,{rows[1]} , {rows[2]}, {rows[3]}, {rows[4]}, {rows[5]}, {rows[6]}, {rows[7]},{rows[8]}.') line_count += 1 print(f'Processed {line_count} lines.') # See PyCharm help at https://www.jetbrains.com/help/pycharm/
所有文件序列化
# This is a sample Python script. from os import listdir import csv import numpy import pandas as pd # C:\\Users\\geovindu\\PycharmProjects\\pythonProjectLinuolin\\venv\data\\10.csv def print_hi(name): # Use a breakpoint in the code line below to debug your script. print(f'Hi, {name}') # Press Ctrl+F8 to toggle the breakpoint. if __name__ == '__main__': print_hi('PyCharm') fname=listdir('C:\\Users\\geovindu\\PycharmProjects\\pythonProjectLinuolin\\venv\data\\') for filename in fname: print(filename) with open('C:\\Users\\geovindu\\PycharmProjects\\pythonProjectLinuolin\\venv\data\\'+filename) as csv_file: csv_reader = csv.reader(csv_file, delimiter=',') line_count = 0 for row in csv_reader: if line_count == 0: print(f'Column {", ".join(row)}') line_count += 1 else: print(f'\t{row[0]}, {row[1]} ,{row[2]}.') line_count += 1 if line_count == 4: for rows in csv_reader: if line_count == 4: print(f'Column {", ".join(rows)}') line_count += 1 else: print(f'\t{rows[0]} ,{rows[1]} , {rows[2]}, {rows[3]}, {rows[4]}, {rows[5]}, {rows[6]}, {rows[7]},{rows[8]}.') line_count += 1 print(f'Processed {line_count} lines.')
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