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A simple python script to reduce or reformat a csv file, producing a csv with a specific sub-set of columns, stripping out any undesired characters from the individual row values
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''' | |
A simple python script to reduce or reformat a csv file, producing a | |
csv with a specific sub-set of columns, stripping out any undesired | |
characters from the individual row values. | |
''' | |
import csv | |
import re | |
import sys | |
# Define the column headers from the original csv to be preserve in the reformatted csv | |
headers = [ | |
'Account Name/Number', | |
'Symbol', | |
'Description', | |
'Quantity', | |
'Last Price', | |
'Current Value', | |
'Total Gain/Loss Dollar', | |
'Total Gain/Loss Percent', | |
'Cost Basis Per Share', | |
'Cost Basis Total' | |
] | |
# Define a regex expression for letters and characters to remove from individual cell values | |
unneeded = re.compile(r'(\+|\$|%|--|n/a)') | |
if __name__ == "__main__": | |
"""Create a command-line main() entry point""" | |
if len(sys.argv) < 2: | |
# Define the usage | |
print(sys.argv[0], '[input csv file] [output csv file]') | |
else: | |
with open(sys.argv[1], 'r') as csv_input: | |
with open(sys.argv[2], 'w') as csv_output: | |
writer = csv.DictWriter(csv_output, fieldnames=headers) | |
for row in csv.DictReader(csv_input): | |
# ignore any row which does not contain all the required columns | |
if not None in [row[x] for x in headers]: | |
writer.writerow({x: unneeded.sub('', row[x]) for x in headers}) | |
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