I calculate a value for each row of a csv file with a loop and want to write this value as a new column in each row.
I open the file:
with open('hello.csv', 'r', encoding="latin-1") as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')
list1 = list(readCSV)
Then loop through the rows and calculate a new value:
for j in list1:
dt=j[1]
dt2=dt+1
How can I write dt2 in each row "j" as a new column in the existing csv file "hello.csv"?
Copy from comment:
This was just a simple example. I have convert a data time object to the right time zone:
dtstr=j[1] #string
hours, minutes = [int(t) for t in tstr.split(':')]
dt = datetime.strptime(dtstr, '%Y-%m-%d %H:%M:%S') +
timedelta(hours=hours+4, minutes=minutes)
Use python csv
module and create a new column and write row in outfile
with new list added with new_column_value
.
with open('hello.csv', 'r', encoding="latin-1") as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')
with open('helloout.csv', 'w', encoding="latin-1") as outfile:
outCSV = csv.writer(outfile,delimiter=',')
for line in readCSV:
new_column_value = func(line[j]) # Your modification function j column number
new_line = line + [new_column_value]
outCSV.writerow(newline)
with open('hello.csv', 'r', encoding="latin-1") as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')
list1 = list(readCSV)
for j in list1:
dtstr=j[1] #string
hours, minutes = [int(t) for t in tstr.split(':')]
dt = datetime.strptime(dtstr, '%Y-%m-%d %H:%M:%S') +timedelta(hours=hours+4, minutes=minutes)
with open('hello out.csv', 'w', encoding="latin-1") as outfile:
outCSV = csv.writer(outfile,delimiter=',')
newline = j + [dt]
outCSV.writerow(newline)
I only become a csv file helloout.csv with one row and that's the last row of file hello.csv with the new column. I think it overwrite the rows but i have no idea why?
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