Text file to CSV conversion - python-3.x

Question

I have a text file which have content like :
Name: Aar saa
Last Name: sh
DOB: 1997-03-22
Phone: [phone]
Graduation: B.Tech
Specialization: CSE
Graduation Pass Out: 2019
Graduation Percentage: 60
Higher Secondary Percentage: 65
Higher Secondary School Name: Guru Nanak Dev University,amritsar
City: hyd
Venue Details: CMR College of Engineering & Technology (CMRCET) Medchal Road, TS � 501401
Name: bfdg df
Last Name: df
DOB: 2005-12-16
Phone: [phone]
Graduation: B.Tech
Specialization: EEE
Graduation Pass Out: 2018
Graduation Percentage: 45
Higher Secondary Percentage: 45
Higher Secondary School Name: asddasd
City: vjd
Venue Details: Prasad V. Potluri Siddhartha Institute Of Technology, Kanuru, AP - 520007
Name: cc dd ee
Last Name: ee
DOB: 1995-07-28
Phone: [phone]
Graduation: B.Tech
Specialization: ECE
Graduation Pass Out: 2019
Graduation Percentage: 75
Higher Secondary Percentage: 93
Higher Secondary School Name: Sasi institute of technology and engineering
City: hyd
Venue Details: CMR College of Engineering & Technology (CMRCET) Medchal Road, TS � 501401
I want to convert it CSV file with headers as
['Name', 'Last Name','DOB', 'Phone', 'Graduation','Specialization','Graduation Pass Out','Higher Secondary School Name','City','Venue Details']
with value as all the value after ':'
I have done something like this:
writer = csv.writer(open('result.csv', 'a'))
writer.writerow(['Name', 'Last Name','DOB', 'Phone', 'Graduation','Specialization','Graduation Pass Out','Graduation Percentage','Higher Secondary Percentage','Higher Secondary School Name','City','Venue Details'])
with open('Name2.txt') as f:
text = f.read()
myarray = text.split("\n\n")
for text1 in myarray:
parselines(text1, writer)
def parselines(lines,writer):
data=[]
for line in lines.split('\n'):
Name = line.split(": ",1)[1]
data.append(Name)
writer.writerow(data)
It worked but any efficient way would be much appreciated.

Answer 1

This algorithm works (kind-of a state machine)
If blank line, make a new row
Otherwise: add to current row, collect all headers and fields
def parselines(lines):
header = []
csvrows = [{}]
for line in lines:
line = line.strip()
if not line:
csvrows.append({}) # new row, in dict form
else:
field, data = line.split(":", 1)
csvrows[-1][field] = data
if field not in header:
header.append(field)
# format CSV
print(",".join(header))
for row in csvrows:
print(",".join(row.get(h,"") for h in header))