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create_csv_data.py
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#!/usr/bin/env python
from argparse import ArgumentParser
from concurrent.futures import ProcessPoolExecutor
import csv
from datetime import datetime, timedelta
import random
import sys
def write_file(args):
file_name, rows, curr_time, delta_time, curr_vals, delta_val = args
fieldnames = ['timestamp']
fieldnames.extend([f'C{i + 1:d}' for i in range(len(curr_vals))])
with open(file_name, 'w', newline='') as csv_file:
writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
writer.writeheader()
for _ in range(rows):
data = {f'C{i + 1:d}': val for i, val in enumerate(curr_vals)}
data['timestamp'] = curr_time
writer.writerow(data)
curr_time += delta_time
curr_vals = [x + random.uniform(-delta_val, delta_val)
for x in curr_vals]
return file_name
if __name__ == '__main__':
arg_parser = ArgumentParser(description='create a set of CSV files')
arg_parser.add_argument('--files', type=int, default=1,
help='number of files to create')
arg_parser.add_argument('base_name', help='base file name to use')
arg_parser.add_argument('--cols', type=int, default=1,
help='number of columns to generate')
arg_parser.add_argument('--rows', type=int, default=100,
help='number of rows to generate per file')
arg_parser.add_argument('--workers', type=int, default=None,
help='number of workersto use')
options = arg_parser.parse_args()
curr_time = datetime.now()
delta_time = timedelta(seconds=1)
curr_vals = [1.0]*options.cols
delta_val = 0.01
with ProcessPoolExecutor(max_workers=options.workers) as executor:
args = [('{0}_{1:04d}.csv'.format(options.base_name, i + 1),
options.rows, curr_time + i*options.rows*delta_time,
delta_time, curr_vals, delta_val) for i in range(options.files)]
for file_name in executor.map(write_file, args):
print('{0} done'.format(file_name))