使用glob时添加文件时间戳列的修改

Question

I have multiple files in a folder that get modified by users at different times. Every week I go and consolidate them all in to one master file but I need to keep track when the file was modified last time. This is a manual process which I am trying to automate.

I wrote the glob code but cant seem to be able to add a column that would provide modification times from each file in to the master file

all_data = pd.DataFrame()
for f in glob.glob("..\Python_Practice\Book*.xlsx"):
    df = pd.read_excel(f)
    all_data = all_data.append(df, ignore_index=True)
all_data.head()


all_data[time] = time.strftime('%m%d%H%M', os.path.gmtime('file')

It doesn't really work and cant find anything on the forums that might do something like it

Answer 1

you are close, but you need to loop through your files and pass the os.path.getmtime into a list. you can then pass these to the index.

The following will

Find all .xlsx files

merge them into one list

get the last modified unix time

convert the unix time into a datetime

concat the dataframes into a single one and pass the datetime into the index.

  from datetime import datetime allFiles = glob.glob('*.xlsx') dfs = [pd.read_excel(f) for f in allFiles] keys = [datetime.fromtimestamp(os.path.getmtime (f)).strftime('%Y-%m-%d %H:%M:%S') for f in allFiles] frame = pd.concat(dfs, keys=keys) 

Answer 2

I would try to use the timestamp at the moment each file is processed. You code could become:

all_data = pd.DataFrame()
for f in glob.glob("..\Python_Practice\Book*.xlsx"):
    df = pd.read_excel(f)
    df['time'] = time.strftime('%m%d%H%M', os.path.gmtime('file')
    all_data = all_data.append(df, ignore_index=True)
all_data.head()