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Start your free trialDevin Scheu
66,191 PointsExporting
Anyone got an answer for this one yet?
Code:
from openWithCsv import *
data_from_csv = open_with_csv('data.csv')
def filter_col_by_string(the_data, field, filter_condition):
filtered_rows = []
#find index of field in first row
col = int(the_data[0].index(field))
filtered_rows.append(the_data[0])
for row in the_data[1:]:
if row[col] == filter_condition:
filtered_rows.append([str(x).encode('utf8') for x in row])
return filtered_rows
# YOUR CODE HERE
1 Answer
Chris Freeman
Treehouse Moderator 68,454 PointsYes:
dolce_gabbana = filter_col_by_string(data_from_csv, 'brandName', "Dolce & Gabbana")
Devin Scheu
66,191 PointsDevin Scheu
66,191 PointsThanks Chris!