| import os | |
| import pandas as pd | |
| basedir = './' | |
| dirs = ['1.Raw(PM)','2.Raw(PM+Met)','3.Clean(PM+Met)','4.Grid(PM+Met)'] | |
| months = ['Nov2020', 'Dec2020', 'Jan2021'] | |
| months_fmt = {'Nov2020':'2020-11-{:02d}_all', 'Dec2020':'2020-12-{:02d}_all', 'Jan2021':'2021-01-{:02d}_all'} | |
| def read(path, D): | |
| if os.path.exists(path): | |
| d = pd.read_csv(path) | |
| D = pd.concat((D,d)) | |
| return D | |
| for dir in dirs: | |
| D = None | |
| for month in months: | |
| if 'Raw' not in dir: | |
| D = read(os.path.join(basedir, dir, month+'.csv.gz'), D) | |
| else: | |
| for file in range(1,32): | |
| D = read(os.path.join(basedir, dir, month, months_fmt[month].format(file) + '.csv.gz'), D) | |
| print('{}: Shape {}, Mean PM2.5 {}'.format(dir, D.shape, D.pm2_5.mean())) | |
| print('Done') |