I have a line of code in a script that imports data from a text file with lots of spaces between values into an array for use later.
textfile = open('file.txt')
data = []
for line in textfile:
row_data = line.strip("
").split()
for i, item in enumerate(row_data):
try:
row_data[i] = float(item)
except ValueError:
pass
data.append(row_data)
I need to change this from a text file to a csv file. I don't want to just change this text to split on commas (since some values can have commas if they're in quotes). Luckily I saw there is a csv library I can import that can handle this.
import csv
with open('file.csv', 'rb') as csvfile:
???
How can I load the csv file into the data array?
If it makes a difference, this is how the data will be used:
row = 0
for row_data in (data):
worksheet.write_row(row, 0, row_data)
row += 1
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