r/test_results/T15_output.txt

TASK: Create a CSV 'test_data.csv' with 100 rows of random numbers, calculate mean and standard deviation using Python, and save results to 'stats_summary.txt'.
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  [1;34m┌─── Python Source Code ─────────────────────────────────────[0m
  [1;34m│[0m [2m  1 |[0m [34mimport[0m[33m csv, random, statistics[0m
  [1;34m│[0m [2m  2 |[0m # Generate CSV data[0m
  [1;34m│[0m [2m  3 |[0m rows = [[random.uniform([36m0[0m[33m, [36m100[0m[33m) [34mfor[0m[33m _ in range([36m10[0m[33m)] [34mfor[0m[33m _ in range([36m100[0m[33m)][0m
  [1;34m│[0m [2m  4 |[0m [34mwith[0m[33m open('test_data.csv', 'w', newline='') [34mas[0m[33m f:[0m
  [1;34m│[0m [2m  5 |[0m     writer = csv.writer(f)[0m
  [1;34m│[0m [2m  6 |[0m     writer.writerows(rows)[0m
  [1;34m│[0m [2m  7 |[0m # Calculate mean and standard deviation[0m
  [1;34m│[0m [2m  8 |[0m flat_list = [item [34mfor[0m[33m sublist in rows [34mfor[0m[33m item in sublist][0m
  [1;34m│[0m [2m  9 |[0m mean_value = statistics.mean(flat_list)[0m
  [1;34m│[0m [2m 10 |[0m std_dev = statistics.stdev(flat_list)[0m
  [1;34m│[0m [2m 11 |[0m # Save results[0m
  [1;34m│[0m [2m 12 |[0m [34mwith[0m[33m open('stats_summary.txt', 'w') [34mas[0m[33m f:[0m
  [1;34m│[0m [2m 13 |[0m     f.write(f'Mean: {mean_value}\n')[0m
  [1;34m│[0m [2m 14 |[0m     f.write(f'Standard Deviation: {std_dev}\n')[0m
  [1;34m└────────────────────────────────────────────────────────────[0m
The CSV file 'test_data.csv' with 100 rows of random numbers has been created. The mean and standard deviation have been calculated and saved to 'stats_summary.txt'.