CODEWITHSUNDEEP
python
Ryan
Ryan

Reputation: 10179

Wrting a string to csv

I append a few things and in the end i have a list that looks like this

listed = ['53.02 12.36 120 33.6', 0.32 ,65 , '52 26.3 66 39.12' ,0.65 , 96]

Now i run this in a loop and at every iteration of the loop i get this list and i want to append this list to a csv with each line looking like this

53.02 12.36 120 33.6 0.32 65 52 26.3 66 39.12 0.65 96

i tried doing

        listed = ' '.join(str(ele) for ele in listed)

but that gives a space for every number somewhat looking like this

5,3,.,0,2, ,1,2,.,3,6, ,0,.,2

Any ideas on how i may do this

Part of the code looks like this 

f = open('Testing.csv', 'a')
writer = csv.writer(f, delimiter = '\t')
for index in range(len(dataset_train)):

        for box, score, label in zip(image_boxes, image_scores, image_labels):
            box = str(box).lstrip('[').rstrip(']')
            listed.append(box)
            listed.append(score)
            listed.append(label)
        listed = ' '.join(str(ele) for ele in listed)
        listed = list(listed)
        writer.writerow(listed)

Thanks in advance

Upvotes: 1

Views: 33

Answers (2)

Rakesh
Rakesh

Reputation: 82815

Try:

import csv
from itertools import chain

listed = ['53.02 12.36 120 33.6', 0.32 ,65 , '52 26.3 66 39.12' ,0.65 , 96]
listed = list(chain.from_iterable([str(i).split() for i in listed]))   #Flatten list

with open(filename, "w") as infile:
    writer = csv.writer(infile, delimiter = '\t')
    writer.writerow(listed)        #Write row

Output:

53.02   12.36   120 33.6    0.32    65  52  26.3    66  39.12   0.65    96

Upvotes: 3

Green Cloak Guy
Green Cloak Guy

Reputation: 24721

You're going a bit too deep - the .join() method works on any iterable object, including a String - which is what you're giving it. What you want is

listed = ' '.join( [str(ele) for ele in listed] )

See the inner square brackets, there, that bind [str(ele) for ele in listed] into a single iterable object, which will then be joined.

Upvotes: 1

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