Example of a tiny Python data analysis program to count images by date

list_num_images_by_date.py

# Use subprocess.run() to list the number of imagehub_data images for each date
#
# Copyright (c) 2018 by Jeff Bass.
# License: MIT, see LICENSE for more details.

import os
import subprocess

def n_images(dir):
    command = 'ls -l ' + dir + ' | wc -l'
    return subprocess.run(command, stdout=subprocess.PIPE, shell=True, universal_newlines=True).stdout

# enter the starting date below; will print daily image totals from that date to today
start_year = '2020'
start_month = '07'
start_day = '28'

output = subprocess.run(['ls'], stdout=subprocess.PIPE, universal_newlines=True)
dirs = output.stdout.splitlines()
for dir in dirs:
    year = dir[0:4]
    if year == start_year:
        month = dir[5:7]
        if month == start_month:
            day = dir[8:]
            if day >= start_day:
                print(dir, n_images(dir))
        elif month > start_month:
            print(dir, n_images(dir))

""" Here's a simlar experiment using os.walk(); Linux utility 'ls' above worked faster
for root, dirs, files in os.walk('.'):
    i = 1
    for dir in dirs:
        month = dir[5:7]
        day = dir[8:]
        print(dir, month, day)
        i += 1
        if i > 10:
            break


"""