将带有时间戳的 excel 文件转换为 python 日期和时间

Question

如何将包含大量时间戳（即 1537892885364）的大型 .xlsx 文件转换为日期和时间（python，然后将其另存为新的 .xlsx 文件？

我是python的新手，我今天尝试了很多方法来实现这个，但我没有找到解决方案。

下面是我使用的代码，但它给了我“[Errno 13] 权限被拒绝”。我尝试了不同的方法，但也遇到了问题。

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[0] = pd.to_datetime(df[0])
    df[2] = pd.to_datetime(df[2])
    print(df)

path = open(r'C:\Users\****\data')
MISfile  = 'filename.xlsx'
main(path, MISfile,None)

Answer 1

希望对您有所帮助：

# requires the following packages:
# - pandas
# - xlrd
# - openpyxl

import pandas as pd

# reading in the excel file timestamps.xlsx
# this file contains a column 'epoch' with the unix epoch timestamps
df = pd.read_excel('timestamps.xlsx')

# translate epochs into human readable and write into newly created column
# note, your timestamps are in ms, hence the unit
df['timestamp'] = pd.to_datetime(df['epoch'],unit='ms')

# write to excel file 'new_timestamps.xlsx'
# index=False prevents pandas to add the indices as a new column
df.to_excel('new_timestamps.xlsx', index=False)

将带有时间戳的 excel 文件转换为 python 日期和时间

Convert excel file with timestamp to python date and time

python

excel

python-3.x

pandas

xlrd