CODEWITHSUNDEEP
pythoncsv
Cytrix
Cytrix

Reputation: 71

Delete blank entries in CSV file Python

I need to read in a CSV file, from Excel, whose rows may be an arbitrary length.

The problem is the python retains these blank entries, but need to delete them for a future algorithm. Below is the output, I don't want the blank entries.

     ['5', '1', '5', '10', '4', '']
     ['3', '1', '5', '10', '2', '']
     ['6', '1', '5', '10', '5', '2']
     ['9', '10', '5', '10', '7', '']
     ['8', '5', '5', '10', '7', '']
     ['1', '1', '5', '10', '', '']
     ['2', '1', '5', '10', '1', '']
     ['7', '1', '5', '10', '6', '4']
     ['4', '1', '5', '10', '3', '1']

Upvotes: 2

Views: 7106

Answers (3)

Robᵩ
Robᵩ

Reputation: 168626

Here's a list comprehension integrated with the csv library:

import csv

with open('input.csv') as in_file:
    reader = csv.reader(in_file)
    result = [[item for item in row if item != ''] for row in reader]

print result

Upvotes: 3

roippi
roippi

Reputation: 25954

List comprehension version:

a = ['5', '1', '5', '10', '4', '']

[x for x in a if x != '']
Out[19]: ['5', '1', '5', '10', '4']

You may be better served by filtering at the csv read step instead.

Upvotes: 1

jgritty
jgritty

Reputation: 11915

This is about as verbose a function as I could write to do what you want. There are certainly slicker ways.

def remove_blanks(a_list):
    new_list = []
    for item in a_list:
        if item != "":
            new_list.append(item)
    return new_list

Upvotes: 1

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