Tôi có một thư mục chứa các thư mục con và tất cả chúng đều chứa các tệp có cấu trúc tên sau:
daily_report_yyy-mm-dd.csv
trong đó yyyy-mm-dd là ngày kể từ đầu năm 2020 với tần suất 1 [ngày].
Trong một dự án, tôi chỉ cần các tệp đề cập đến bảy ngày qua và do đó tôi thấy không sử dụng tất cả các tệp và sau đó cắt hình dataFrame kết quả. Kịch bản này thực hiện điều này, đọc tất cả các tệp và kết hợp chúng vào Onle Single DF
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
Bây giờ, tôi muốn sử dụng ngày mà tập lệnh được thực thi và tìm tất cả các tệp có chứa ngày đó như một phần của tên cũng như tất cả bảy ngày trước ngày đó. Tôi đã nghĩ về việc sử dụng mã sau, nhưng tôi không biết cách tiến hành.
base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
Bất kỳ sự hướng dẫn sẽ được đánh giá rất nhiều.
40path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
3 path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from8
43path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
3 path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
45path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from5path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
40path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
3 path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from8
43path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
3 path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
45path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
50path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
3 path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from5 DateTime module
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
Ví dụ 2: Nhận thời gian tạo và sửa đổi của tệp bằng pathlib.pathCreating text file containing date/time
Python3
Mô -đun OS.Path là một mô -đun con của mô -đun HĐH trong Python được sử dụng để thao tác tên đường dẫn phổ biến. Trả về một đối tượng kết quả OS.stat, tương tự như OS.stat, chứa chi tiết về đường dẫn này.
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from0
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20223
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20226
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20227
base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20229
base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
The file located at the path myfile.txt was last modified at 2022-07-07 16:25:521
Output:
Ngày & giờ hiện tại: 2021-08-19 13: 17: 48.408908
Tệp được tạo: & nbsp; 2021-08-19 13: 17: 48.408908.txt
Bất kỳ loại tệp nào cũng có thể được tạo theo cách này nếu tiện ích mở rộng được yêu cầu được cung cấp chính xác.
Ví dụ 2: & nbsp; tạo tệp CSV chứa ngày/giờ & nbsp;Creating CSV file containing date/time
Python3
from datetime
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
Modified Date/Time: 2022-07-07 16:25:52.490759 Created Date/Time on: 2022-06-27 14:16:30.1237211
base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20220
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20221
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20222
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20223
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20226
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20227
base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20229
base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
The file located at the path myfile.txt was last modified at 2022-07-07 16:25:521
Output:
Ngày & giờ hiện tại: & NBSP; 2021-08-19 13: 19: 29.667423
Tệp được tạo: & NBSP; 2021-08-19 13: 19: 29.667423.CSV
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from8Sử dụng mô -đun thời gian để có được ngày hoặc thời gian tạo tệp và thời gian sửa đổi trong Python
Chúng tôi sẽ sử dụng hàm getCtime [] và getMtime [], được tìm thấy bên trong mô -đun đường dẫn trong thư viện hệ điều hành, để có thời gian tạo và sửa đổi của tệp. Cả hai chức năng trên đều trả về thời gian trong vài giây kể từ thời đại [00:00:00 UTC vào ngày 1 tháng 1 năm 1970] [thời gian của kiểu dữ liệu float]. Vì con số đó không giống như một dấu thời gian dễ hiểu, chúng ta sẽ phải chuyển đổi thời gian đó, tức là nó trở nên dễ nhận biết. Với mục đích đó, chúng tôi sẽ sử dụng hàm ctime [] được tìm thấy bên trong thư viện thời gian.
Ví dụ 1: Chuyển đổi thời gian tính bằng giây thành dấu thời gian
Dấu thời gian của mã trên có vòng loại định dạng sau -
[Ngày] [3] [Tháng] [3] [ngày] [2] [Giờ: phút: giây] [8] [Năm] [4]
Python3
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
yyyy-mm-dd7path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
yyyy-mm-dd9from0
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from2from3
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from5from6
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from8from9
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
datetime 1datetime 2
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
datetime 4path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
datetime 6base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
datetime 8datetime 9
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20223
Output:
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 2022
Trong đó từ bên trong giá đỡ là gợi ý cho những gì đang được hiển thị và số lượng theo nó trong dấu ngoặc đơn hiển thị độ dài mà nó sẽ chiếm.
Ví dụ 2: Dấu thời gian ở định dạng ISO 8601
Theo mặc định, hàm thectime [] sẽ trả về dấu thời gian của cú pháp đã nói ở trên. Để thay đổi nó, chúng ta sẽ phải chuyển nó cho hàm strptime [] [cũng được tìm thấy bên trong thư viện thời gian] để tạo cấu trúc thời gian [đối tượng] ra khỏi nó. Sau đó, chúng ta có thể chuyển các định dạng định dạng cho strftime [], để tạo dấu thời gian tùy chỉnh ra khỏi cấu trúc thời gian. Trong mã sau, chúng tôi sẽ nhận được thời gian sửa đổi của cùng một tệp trong định dạng dấu thời gian ISO 8601. & NBSP;
Python3
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
yyyy-mm-dd7path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
yyyy-mm-dd9from0
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from2from6
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from8datetime 2
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
datetime 4path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
datetime 6base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
datetime 8datetime 9
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
The file located at the path myfile.txt was created at Mon Jun 27 14:16:30 2022 and was last modified at Thu Jul 7 16:25:52 20223
Output:
The file located at the path myfile.txt was last modified at 2022-07-07 16:25:52
Trong đó từ bên trong giá đỡ là gợi ý cho những gì đang được hiển thị và số lượng theo nó trong dấu ngoặc đơn hiển thị độ dài mà nó sẽ chiếm.
Ví dụ 2: Dấu thời gian ở định dạng ISO 8601
Theo mặc định, hàm thectime [] sẽ trả về dấu thời gian của cú pháp đã nói ở trên. Để thay đổi nó, chúng ta sẽ phải chuyển nó cho hàm strptime [] [cũng được tìm thấy bên trong thư viện thời gian] để tạo cấu trúc thời gian [đối tượng] ra khỏi nó. Sau đó, chúng ta có thể chuyển các định dạng định dạng cho strftime [], để tạo dấu thời gian tùy chỉnh ra khỏi cấu trúc thời gian. Trong mã sau, chúng tôi sẽ nhận được thời gian sửa đổi của cùng một tệp trong định dạng dấu thời gian ISO 8601. & NBSP;
from0
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from2Python3
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
yyyy-mm-dd7from0
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from2from3
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from5from6
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from8path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
from9
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
datetime 1datetime 2
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
datetime 4path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
datetime 6base = datetime.date.today[]
list_of_files =[]
for date in pd.date_range[base, base-7, freq='D'].strftime['%Y-%m-%d']:
for file_name in files[files.str.contains[date]]:
list_of_files.append[filename]
datetime 8Output:
Modified Date/Time: 2022-07-07 16:25:52.490759 Created Date/Time on: 2022-06-27 14:16:30.123721
datetime 9path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
00 path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
01
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
Trong đó từ bên trong giá đỡ là gợi ý cho những gì đang được hiển thị và số lượng theo nó trong dấu ngoặc đơn hiển thị độ dài mà nó sẽ chiếm.
Python3
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
Sử dụng mô -đun DateTime Get Get File File & Sửa đổi Ngày hoặc giờ trong Python
Các lớp để làm việc theo ngày và thời gian được cung cấp bởi mô -đun DateTime Python. Nhiều khả năng để đối phó với ngày, thời gian và khoảng thời gian được cung cấp bởi các lớp này. Python coi ngày và datetime là đối tượng, vì vậy khi bạn làm việc với chúng, bạn đã thực sự làm việc với các đối tượng thay vì chuỗi hoặc dấu thời gian.
Ví dụ 1: Nhận thời gian tạo và sửa đổi của tệp bằng OS.Path.GetMtime
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
Mô -đun Python sườn OS.Path, một mô -đun con của mô -đun HĐH, được sử dụng để thao tác các tên đường dẫn phổ biến.
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
path = path_to_downloads
extension = '.csv'
files_w_path =[]
for root, dirs_list, files_list in os.walk[path]:
for file_name in files_list:
if os.path.splitext[file_name][-1] == extension:
file_name_path = os.path.join[root, file_name]
files_w_path.append[file_name_path]
df = []
for filename in files_w_path:
df.append[pd.read_csv[filename]]
vehicle = pd.concat[df, ignore_index=True]
Output:
Modified Date/Time: 2022-07-07 16:25:52.490759 Created Date/Time on: 2022-06-27 14:16:30.123721