def test(src, dst, index):
with open(dst, 'wb') as df:
with open(src, 'rb') as csvfile:
# 使用reader函数,接收一个可迭代的对象
reader = csv.reader(csvfile)
# 列表解析
rows = [row for row in reader]
# 根据索引提取其中某一列
column = [row[index]for row in reader]
# 初始化一个二维矩阵
b = numpy.array(rows) # (125973, 41)
# 将list中的字符转为数字
column_f = map(float, column)
# 给每个列表中的每个元素进行归一化
# for i in column_f:
# newValue = (i - min(column_f)) / (max(column_f) - min(column_f))
# print(newValue)
writer = csv.writer(df)
# 执行写操作
writer.writerows(column)
# 关闭文件
df.close()
if __name__ == "__main__":
test('ss.csv', 'test.csv', 0)