Create a new dataset after selection in Python

Totally newebie with Python, and I'm trying to learn "on the field". So basically I managed to open a csv file, pick only the rows that have certain values in specific columns, and then print the rows.

What I'd love to do after this is basically get a random selection of one of the found rows. I thought to do that by creating a new csv file first, which at this point will only contains the filtered rows, and then randomly select from it.

Any ideas on the simplest way to do that?

Here's the portion of the code so far:

import csv
    with open("top2018.csv") as f:
        reader = csv.reader(f)
        for row in reader:
            if (row[4] >= "0.8") and (row[6] <= "-4") and (row[12] >= "0.8"):
                print(row[2] + " -", row[1])

It will find 2 rows (I checked).

And then, for creating a new csv file:

import pandas as pd
            artist = [row[2]]
            name = [row[1]]
            dict = {'artist': artist, 'name': name}
            df = pd.DataFrame(dict)
            df.to_csv('test.csv')

But I don't know why with this method, the new csv file has only 1 entry, while I'd want to have all of the found rows in it.

Hope something I wrote make sense! Thanks guys!