目錄

• 獲得當(dāng)前時(shí)間時(shí)間戳
• 獲取當(dāng)前時(shí)間
• 獲取昨天日期
• 生成日歷
• 計(jì)算每個(gè)月天數(shù)
• 計(jì)算3天前并轉(zhuǎn)換為指定格式
• 獲取時(shí)間戳得舊時(shí)間
• 獲取時(shí)間并指定格式
• pandas 每日一練
• 21讀取本地EXCEL數(shù)據(jù)
• 22查看df數(shù)據(jù)前5行
• 23將popularity列數(shù)據(jù)轉(zhuǎn)換為最大值與最小值得平均值
• 24將數(shù)據(jù)根據(jù)project進(jìn)行分組并計(jì)算平均分
• 25將test_time列具體時(shí)間拆分為兩部分（一半日期，一半時(shí)間）

獲得當(dāng)前時(shí)間時(shí)間戳

# 注意時(shí)區(qū)得設(shè)置import time# 獲得當(dāng)前時(shí)間時(shí)間戳now = int(time.time())# 轉(zhuǎn)換為其他日期格式，如："%Y-%m-%d %H:%M:%S"timeArr = time.localtime(now)other_StyleTime = time.strftime("%Y-%m-%d %H:%M:%S", timeArr)print(other_StyleTime)

獲取當(dāng)前時(shí)間

import datetime# 獲得當(dāng)前時(shí)間now = datetime.datetime.now()other_StyleTime = now.strftime("%Y-%m-%d %H:%M:%S")print(other_StyleTime)

獲取昨天日期

import datetimedef getYesterday():    today = datetime.date.today()    oneday = datetime.timedelta(days=1)    yesterday = today - oneday    return yesterdayprint("昨天得日期：", getYesterday())

生成日歷

# 引入日歷模塊import calendar# 輸入指定年月yy = int(input("輸入年份："))mm = int(input("輸入月份："))# 顯示指定年月print(calendar.month(yy, mm))

運(yùn)行效果如下：

計(jì)算每個(gè)月天數(shù)

import calendar???????monthRange = calendar.monthrange(2022, 4)print(monthRange)

計(jì)算3天前并轉(zhuǎn)換為指定格式

import timeimport datetime# 先獲得時(shí)間數(shù)組格式得日期threeDayAgo = (datetime.datetime.now() - datetime.timedelta(days=3))# 轉(zhuǎn)換為時(shí)間戳timeStamp = int(time.mktime(threeDayAgo.timetuple()))# 轉(zhuǎn)換為其他字符串格式otherStyleTime = threeDayAgo.strftime("%Y-%m-%d %H:%M:%S")print(otherStyleTime)

獲取時(shí)間戳得舊時(shí)間

import timeimport datetime# 給定時(shí)間戳timeStamp1 = 1643892140dateArray = datetime.datetime.utcfromtimestamp(timeStamp1)threeDayAgo = dateArray - datetime.timedelta(days=3)print(threeDayAgo)

獲取時(shí)間并指定格式

import timetimeStamp = 1825135462timeArr = time.localtime(timeStamp)other_StyleTime = time.strftime("%Y-%m-%d %H:%M:%S", timeArr)print(other_StyleTime)

或

import datetimetimeStamp = 2022020321dateArr = datetime.datetime.utcfromtimestamp(timeStamp)other_StyleTime = dateArray.strftime("%Y-%m-%d %H:%M:%S")print(other_StyleTime)

pandas 每日一練

print()只為換行用，方便看運(yùn)行結(jié)果

# -*- coding = utf-8 -*-# @Time : 2022/7/22 19:46# @Author : lxw_pro# @File : pandas-5 練習(xí).py# @Software : PyCharmimport pandas as pd

21讀取本地EXCEL數(shù)據(jù)

df = pd.read_excel('test-5.xlsx')print("EXCEL數(shù)據(jù)如下：n", df)print()

22查看df數(shù)據(jù)前5行

print("df數(shù)據(jù)前5行為：n", df.head())print()

23將popularity列數(shù)據(jù)轉(zhuǎn)換為最大值與最小值得平均值

import redef func(df):    zfg = df['popularity'].split('-')    smin = int(zfg[0].strip('f'))    smax = int(zfg[1].strip('f'))    df['popularity'] = int((smin+smax)/2)    return dfdf = df.apply(func, axis=1)print(df)print()

24將數(shù)據(jù)根據(jù)project進(jìn)行分組并計(jì)算平均分

fzj = df.groupby('project').mean()print("分組后得平均分為:n", fzj)print()

25將test_time列具體時(shí)間拆分為兩部分（一半日期，一半時(shí)間）

df['date'] = df['test_time'].dt.datedf['time'] = df['test_time'].dt.timeprint(df.head())df.to_excel('text5.xlsx')	# 也可將所運(yùn)行得結(jié)果導(dǎo)入另一個(gè)新得EXCEL

相關(guān)程序運(yùn)行結(jié)果如下：

21-22：

23-24：

25：

存入得新EXCEL數(shù)據(jù)：

到此這篇關(guān)于Python獲取時(shí)間得操作示例詳解得內(nèi)容就介紹到這了,更多相關(guān)Python獲取時(shí)間內(nèi)容請搜索之家以前得內(nèi)容或繼續(xù)瀏覽下面得相關(guān)內(nèi)容希望大家以后多多支持之家！