python timestamp conversion and pandas batch convert timestamp

Posted on by Admin

Timestamp to time format year-month-day-hours-minutes-seconds

import time
timeStamp=1303132933#时间戳
timeArray = time.localtime(timeStamp)
otherStyleTime = time.strftime("%Y-%m-%d %H:%M:%S", timeArray)
print(otherStyleTime)

Output: 2011-04-18 21:22:13

pandas batch conversion timestamp
raw csv data:refrigerator.dat.csv

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import numpy as np
import pandas as pd

import time

#读取数据
data=pd.read_csv('refrigerator.dat.csv')
data.loc[:, 'localminute'] = data['时间'].apply(lambda x :time.localtime(x))
data.loc[:, 'time'] = data['localminute'].apply(lambda x :time.strftime("%Y-%m-%d %H:%M:%S", x))
print(data.head())

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extract date

#提取日时分特征
data.loc[:, 'time'] = pd.to_datetime(data['time'],format='%Y-%m-%dT%H:%M:%S')

#获取分
data.loc[:, 'minute'] = data['time'].apply(lambda x: x.minute)
#获取时
data.loc[:, 'hour'] = data['time'].apply(lambda x: x.hour)
#获取日
data.loc[:, 'dom'] = data['time'].apply(lambda x: x.day)

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Total code:

import numpy as np
import pandas as pd
import time
#读取数据
data=pd.read_csv('refrigerator.dat.csv')
#转换时间戳
data.loc[:, 'localminute'] = data['时间'].apply(lambda x :time.localtime(x))
data.loc[:, 'time'] = data['localminute'].apply(lambda x :time.strftime("%Y-%m-%d %H:%M:%S", x))

#提取时间特征
data.loc[:, 'time'] = pd.to_datetime(data['time'],format='%Y-%m-%dT%H:%M:%S')

#获取分
data.loc[:, 'minute'] = data['time'].apply(lambda x: x.minute)
#获取时
data.loc[:, 'hour'] = data['time'].apply(lambda x: x.hour)
#获取日
data.loc[:, 'dom'] = data['time'].apply(lambda x: x.day)

print(data.head())

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