This simple Python file generates a random massive CSV file efficiently taking almost no RAM while doing so streaming data into your CSV file. I've pre-done the calculation of the rows/columns to the file-size, so you can easily add or remove zeroes from "rows" variable to increase or decrease the size of the file generated

generate-random-1gb-csv.py

import csv
import random

# 1000000 and 52 == roughly 1GB (WARNING TAKES a while, 30s+)
rows = 1000000
columns = 52
print_after_rows = 100000

def generate_random_row(col):
    a = []
    l = [i]
    for j in range(col):
        l.append(random.random())
    a.append(l)
    return a

if __name__ == '__main__':
    f = open('sample.csv', 'w')
    w = csv.writer(f, lineterminator='\n')
    for i in range(rows):
        if i % print_after_rows == 0:
            print(".", end="", flush=True)
        w.writerows(generate_random_row(columns))
    f.close()

Super logic, I generated around 10 gb of data without any issue. Thanks!!