将一列日期从序号转换为标准日期格式-Pandas

ste*_*dv 0 python integer date calculated-columns pandas

我必须将一列日期从整数/日期格式转换为日期格式dmY。例:

import pandas as pd
col1 = [737346, 737346, 737346, 737346, 737059, 737346]
col2 = ['cod1', 'cod2', 'cod3', 'cod4', 'cod1', 'cod2']
dict = {'V1' : col1, 'V2' : col2}   
df = pd.DataFrame.from_dict(dict)

df

       V1    V2
0  737346  cod1
1  737346  cod2
2  737346  cod3
3  737346  cod4
4  737059  cod1
5  737346  cod2
Run Code Online (Sandbox Code Playgroud)

预期:

df
           V1    V2
0  14-10-2019  cod1
1  14-10-2019  cod2
2  14-10-2019  cod3
3  14-10-2019  cod4
4  31-12-2018  cod1
5  14-10-2019  cod2
Run Code Online (Sandbox Code Playgroud)

eco*_*zar 5

datetime fromordinal应该会有所帮助。

import datetime as dt

col1 = [737346, 737346, 737346, 737346, 737059, 737346]
col2 = ['cod1', 'cod2', 'cod3', 'cod4', 'cod1', 'cod2']
dd = {'V1' : col1, 'V2' : col2}   
df = pd.DataFrame.from_dict(dd)

df['V1'] = df['V1'].apply(dt.datetime.fromordinal)
Run Code Online (Sandbox Code Playgroud)