我意识到有一种方法可以使用“awk”添加列。
但我对这个替代方案不太熟悉,所以我想问是否有办法使用 Python 将列添加到制表符分隔的文本文件中?
具体来说,这是我需要在其中添加一列的场景:
我有以下格式的数据(我意识到看着它,格式可能不是那么清楚,但是电话,电子邮件和网站对应不同的列):
name phone email website
D G Albright M.S.
Lannister G. Cersei M.A.T., CEP 111-222-3333 cersei@got.com www.got.com
Argle D. Bargle Ed.M.
Sam D. Man Ed.M. 000-000-1111 dman123@gmail.com www.daManWithThePlan.com
Sam D. Man Ed.M.
Sam D. Man Ed.M. 111-222-333 dman123@gmail.com www.daManWithThePlan.com
D G Bamf M.S.
Amy Tramy Lamy Ph.D.
我正在为第一列编写解析器。我想将“实践领域”(在这种情况下,前任将是“CEP”)添加到题为“领域”的新列中。我遍历文件,并使用 pop 函数将该区域与第一列的其余部分分开。然后我将它添加到一个列表中,它只是在函数中消失,因为它没有添加到电子表格中。
这是我的脚本:
def parse_ieca_gc(s):
### HANDLE NAME ELEMENT ######
degrees = ['M.A.T.','Ph.D.','MA','J.D.',
'Ed.M.', 'M.A.', 'M.B.A.',
'Ed.S.', 'M.Div.', 'M.Ed.',
'RN', 'B.S.Ed.', 'M.D.', 'M.S.']
degrees_list = []
# check whether the name string has
# an area of practice by
# checking if there's a comma separator
if ',' in s['name']:
# separate area of practice from name
# and degree and bind this to var 'area'
split_area_nmdeg = s['name'].split(',')
area = split_area_nmdeg.pop()
# Split the name and deg by spaces.
# If there's a deg, it will match with one
# of elements and will be stored deg list.
# The deg is removed name_deg list
# and all that's left is the name.
split_name_deg = re.split('\s',split_area_nmdeg[0])
for word in split_name_deg:
for deg in degrees:
if deg == word:
degrees_list.append(split_name_deg.pop())
name = ' '.join(split_name_deg)
预期产出
name phone email website area degrees
D G Albright M.A.
Lannister G. Cersei 111-222-3333 cersei@got.com www.got.com CEP M.A.T.
Argle D. Bargle Ed.M.
Sam D. Man 000-000-1111 dman123@gmail.com www.daManWithThePlan.com Ed.M.
Sam D. Man Ed.M.
Sam D. Man 111-222-333 dman123@gmail.com www.daManWithThePlan.com Ed.M.
D G Bamf M.S.
Amy Tramy Lamy Ph.D.
此代码也不起作用:
fieldnames = ['name','degrees','area','phone','email','website']
with open('ieca_first_col_fake_text.txt','r') as input:
with open('new_col_dict.txt','w') as output:
dict_writer = csv.DictWriter(output, fieldnames, delimiter = '\t')
dict_reader = csv.DictReader(input, delimiter = '\t')
#dict_writer.writeheader(fieldnames)
for row in dict_reader:
print row
dict_writer.writerow(fieldnames)
dict_writer.writerow(row)