我们可以帮助熊猫：

import pandas as pd

如上所述，我们有：

datetime(2017, 10, 20)

如果在jupyter笔记本中执行这一行，我们将得到如下输出：

datetime.datetime(2017, 10, 20, 0, 0)

使用weekday（）和weekday_name：

如果您希望工作日为整数格式，请使用：

pd.to_datetime(datetime(2017, 10, 20)).weekday()

输出将为：

4

如果你想把它作为一天的名字，比如星期天、星期一、星期五等，你可以使用：

pd.to_datetime(datetime(2017, 10, 20)).weekday_name

输出将为：

'星期五'

如果Pandas数据帧中有日期列，则：

现在假设您有一个panda数据帧，其日期列如下：pdExampleDataFrame['Dates'].head（5）

0   2010-04-01
1   2010-04-02
2   2010-04-03
3   2010-04-04
4   2010-04-05
Name: Dates, dtype: datetime64[ns]

现在，如果我们想知道工作日的名称，比如星期一、星期二。。等等，我们可以按如下方式使用.weekday_name：

pdExampleDataFrame.head(5)['Dates'].dt.weekday_name

输出将是：

0    Thursday
1      Friday
2    Saturday
3      Sunday
4      Monday
Name: Dates, dtype: object

如果我们希望从“日期”列中得到工作日的整数，那么我们可以使用：

pdExampleDataFrame.head(5)['Dates'].apply(lambda x: x.weekday())

输出将如下所示：

0    3
1    4
2    5
3    6
4    0
Name: Dates, dtype: int64

如果您不完全依赖datetime模块，日历可能是更好的选择。例如，这将为您提供日期代码：

calendar.weekday(2017,12,22);

这将给你一天：

days = ["Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"]
days[calendar.weekday(2017,12,22)]

或者以python的风格，作为一行：

["Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"][calendar.weekday(2017,12,22)]

假设你得到了日期、月份和年份，你可以做到：

import datetime
DayL = ['Mon','Tues','Wednes','Thurs','Fri','Satur','Sun']
date = DayL[datetime.date(year,month,day).weekday()] + 'day'
#Set day, month, year to your value
#Now, date is set as an actual day, not a number from 0 to 6.

print(date)

import numpy as np

def date(df):
    df['weekday'] = df['date'].dt.day_name()

    conditions = [(df['weekday'] == 'Sunday'),
              (df['weekday'] == 'Monday'),
              (df['weekday'] == 'Tuesday'),
              (df['weekday'] == 'Wednesday'),
              (df['weekday'] == 'Thursday'),
              (df['weekday'] == 'Friday'),
              (df['weekday'] == 'Saturday')]

    choices = [0, 1, 2, 3, 4, 5, 6]

    df['week'] = np.select(conditions, choices)

    return df

import datetime
import calendar

day, month, year = map(int, input().split())
my_date = datetime.date(year, month, day)
print(calendar.day_name[my_date.weekday()])

输出示例

08 05 2015
Friday

假设您有timeStamp：字符串变量YYYY-MM-DD HH:MM:SS

步骤1：使用blow代码将其转换为dateTime函数。。。

df['timeStamp'] = pd.to_datetime(df['timeStamp'])

步骤2：现在您可以提取所有必需的功能，如下所示，这将为每个字段创建新的列-小时、月、星期、年、日期

df['Hour'] = df['timeStamp'].apply(lambda time: time.hour)
df['Month'] = df['timeStamp'].apply(lambda time: time.month)
df['Day of Week'] = df['timeStamp'].apply(lambda time: time.dayofweek)
df['Year'] = df['timeStamp'].apply(lambda t: t.year)
df['Date'] = df['timeStamp'].apply(lambda t: t.day)