How can I convert a large .xlsx file which contains a lot of timestamps (i.e. 1537892885364) into date and time ( in python and then save it as a new .xlsx file?
I am new to python, and I tried lots of ways to achieve this today, but I did not find a solution.
Below is the code I used, but it gives me ‘[Errno 13] Permission denied’. I tried different ways which also gave problems.
from __future__ import absolute_import, division, print_function import os import pandas as pd def main(path, filename, absolute_path_organisation_structure): absolute_filepath = os.path.join(path,filename) #Relevant list formed with 4th, 5th and 6th columns df = pd.read_excel(absolute_filepath, header=None, parse_cols=[4,5,6]) # Transform column 0 and 2 to datetime df = pd.to_datetime(df) df = pd.to_datetime(df) print(df) path = open(r'C:\\Users\\****\\data') MISfile = 'filename.xlsx' main(path, MISfile,None)