编辑csv文件

时间:2017-06-22 08:47:46

标签: python csv numpy

我已经生成了一个csv文件,它看起来像这样:

50,57,13,10,50,48,13,10,49,55,13,10,49,54,13,10,49,52,13,10,49,52,13,10,49,50,13,10,49,49,13,10

49,49,13,10,57,13,10,57,13,10,57,13,10,56,13,10,56,13,10,55,13,10,54,13,10,54,13,10,54,13,10,54

13,10,54,13,10,54,13,10,54,13,10,53,13,10,54,13,10,54,13,10,54,13,10,54,13,10,54,13,10,53,13,10

53,13,10,52,13,10,52,13,10,52,13,10,53,13,10,53,13,10,53,13,10,52,13,10,51,13,10,52,13,10,52,13

10,52,13,10,53,13,10,52,13,10,51,13,10,51,13,10,51,13,10,52,13,10,52,13,10,52,13,10,51,13,10,51

13,10,51,13,10,52,13,10,52,13,10,52,13,10,52,13,10,51,13,10,51,13,10,52,13,10,52,13,10,53,13,10

53,13,10,51,13,10,51,13,10,51,13,10,52,13,10,52,13,10,52,13,10,51,13,10,51,13,10,51,13,10,52,13

10,52,13,10,52,13,10,52,13,10,51,13,10,51,13,10,52,13,10,52,13,10,52,13,10,52,13,10,51,13,10,51

13,10,52,13,10,52,13,10,52,13,10,52,13,10,51,13,10,51,13,10,51,13,10,52,13,10,52,13,10,52,13,10

52,13,10,51,13,10,51,13,10,51,13,10,52,13,10,52,13,10,52,13,10,51,13,10,50,13,10,51,13,10,51,13

10,52,13,10,52,13,10,52,13,10,51,13,10,51,13,10,52,13,10,52,13,10,52,13,10,52,13,10,51,13,10,51

13,10,51,13,10,52,13,10,52,13,10,52,13,10,51,13,10,51,13,10,51,13,10,52,13,10,53,13,10,52,13,10

52,13,10,51,13,10,52,13,10,51,13,10,52,13,10,52,13,10,52,13,10,51,13,10,51,13,10,51,13,10,52,13

我想重新构建它,使它只有一行而根本没有列。我试过了numpy.genfromtxt

new=np.genfromtxt('repaired.csv', dtype='float', delimiter=',', skip_header=0, skip_footer=0, converters=None, missing_values=None, filling_values=None, usecols=None, names=None, excludelist=None, deletechars='"', replace_space='_', autostrip=False, case_sensitive=True, defaultfmt='f%i', unpack=None, usemask=False, loose=True, invalid_raise=True, max_rows=None)

但它没有用。我将错误视为:

ValueError: Some errors were detected !
    Line #1591 (got 28 columns instead of 32)
    Line #1593 (got 4 columns instead of 32)

2 个答案:

答案 0 :(得分:1)

如果您有可能使用pandas,可以试试这个:

import pandas

new = pandas.read_csv('repaired.csv', sep=',', engine='python', header=None)

你的csv中的第一行必须是最长的行,否则这也行不通。

如果您需要将数据作为纯numpy数组,则可以将其转换为:

nm = new.as_matrix()

答案 1 :(得分:0)

我已经完成了将csv文件转换为numpy array

的所有方法
import csv
import numpy as np
data_in_csv_file = []
# reading the csv file
with open('hello2.csv', 'r') as f:
    reader = csv.reader(f)
    for row in reader:
        data_in_csv_file.append(row)
# removing the empty row of the csv file
# and convert into a list
list_values = sum(data_in_csv_file,[])
# converting numpy array
values = np.array(list_values)
print(values)
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