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Python Data Science Basics Exporting Exporting

Devin Scheu
Devin Scheu
66,191 Points

Exporting

Anyone got an answer for this one yet?

Code:

filterColumn.py
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
MOD
Chris Freeman
Treehouse Moderator 68,423 Points

Yes:

dolce_gabbana = filter_col_by_string(data_from_csv, 'brandName', "Dolce & Gabbana")