在 python django 中解析 csv 文件

Question

我正在尝试从已上传的 csv 文件中读取数据。首先，我获取每一行，然后尝试通过用逗号分隔来从每一行中读取数据，这对于理想情况很有用，但如果包含“，”（如地址字段），它将以错误的格式解析数据。

我想要一个更可靠的解决方案 val = v.split(',')

我的密码是

 upload_file = request.FILES['upload_file']
    data = [row for row in csv.reader(upload_file.read().splitlines())]

    for v in data:
       # v is every row
       val = v.split(',') #spliting value of every row to get each record of every row

Answer 1

如果您想拆分并访问每行中的单词，那么 re.split 将是一个不错的选择：

re.split('\W+', 'Words, words, words.')
['Words', 'words', 'words', '']

示例代码来自：https://docs.python.org/2/library/re.html

Answer 2

如果您使用简单的读取语句读入文件，例如：

data = upload_file.read()

# you can use the re library --> import re
rows = re.split('\n', data) # splits along new line
for index, row in enumerate(rows):
    cells = row.split(',')
    # do whatever you want with the cells in each row
    # this also keeps an index if you want the cell's row index

或者您可以使用 csv.reader 模块：

file_reader = csv.reader(upload_file, delimiter=',')
for row in file_reader:
    # do something with row data.
    print(row)
    # would print the rows like
    # I, like, to, ride, my, bicycle
    # I, like, to, ride, my, bike

Answer 3

CSV 表示逗号分隔值。如果您需要在 CSV 中对字符串进行编码，您通常会用引号将其括起来。否则您将无法正确解析文件：

$ cat sample.csv 
"131, v17",foo
bar,qux


>>> import csv
>>> with open('sample.csv', 'rb') as f:
...   r = csv.reader(f)
...   for row in r:
...     print row
... 
['131, v17', 'foo']
['bar', 'qux']

当然，如果您省略引号，第一行将被解析为 3 个字段。

Answer 4

您可以使用 pandas. Here's an example based on this question:

>>> import sys, pandas
>>> if sys.version_info[0] < 3:
    from StringIO import StringIO
else:
    from io import StringIO
## I assume your input is something like this:
>>> string = "a,b,c\n1,2,3\n4,5,6\n7,8,9\n"
>>> stringIO = StringIO(string)
>>> df = pandas.DataFrame.from_csv(stringIO, sep=',', index_col=False)
>>> print df
   a  b  c
0  1  2  3
1  4  5  6
2  7  8  9

>>> print df.columns
Index([u'a', u'b', u'c'], dtype='object')

## access elements
>>> print df['a'][3]
7

Documentation for DataFrame.from_csv

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