A handy snippet that dumps a TableData into a CSV file
# -*- coding: utf-8 -*-
import numpy
import os
import s4l_v1.analysis as analysis
def to_csv(file_path, table):
import csv
data = table.ToList()
col_keys = [""]
col_keys.extend( [k.replace(',', '') for k in table.ColumnKeys()] )
row_keys = [k.replace(',', '') for k in table.RowKeys()]
with open(file_path, 'wt') as outcsv:
writer = csv.writer(outcsv, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL, lineterminator='\n')
writer.writerow(col_keys)
for i, key in enumerate(row_keys):
row = [key, ]
row.extend(data[i])
writer.writerow(row)
print "File written to {}".format(file_path)
if __name__ == '__main__':
# ... Assume here code to evaluate a pipeline ...
table = surface_average_J_evaluator.Outputs["Surface-Average Report [ICNIRP 1998]"].Data
print( "Info: table is of type {}".format( type(data) ) )
to_csv( os.path.join(basedir, "icnirp1998.csv"), table)