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Python按天實(shí)現(xiàn)生成時(shí)間范圍序列的方法詳解_python

作者：ponponon ? 更新時(shí)間： 2022-12-13 編程語言

使用 timedelta

datetime 中包含了 timedelta ，可以用來實(shí)現(xiàn)這個(gè)功能

from datetime import datetime, timedelta, timezone
from pydantic.datetime_parse import parse_datetime
from loguru import logger


SECOND: int = 1
MINUTE: int = SECOND*60
HOUR: int = MINUTE*60
DAY: int = HOUR*24
WEEK: int = DAY*7
MONTH: int = DAY*30


def get_utc_now_timestamp(with_tzinfo: bool = True) -> datetime:
    """ https://blog.csdn.net/ball4022/article/details/101670024 """
    if not with_tzinfo:
        return datetime.utcnow()
    return datetime.utcnow().replace(tzinfo=timezone.utc)


def timedelta_seconds(start_time: datetime, end_time: datetime = None) -> int:
    """ 返回兩個(gè)時(shí)間相差的秒數(shù) """
    if not end_time:
        end_time = get_utc_now_timestamp()

    return int((end_time - start_time).total_seconds())


def custom_timestamp(base_timestamp: datetime, seconds: int, reduce=False):
    return base_timestamp + timedelta(seconds=seconds) \
        if not reduce \
        else base_timestamp - timedelta(seconds=seconds)


start_datetime = parse_datetime('2022-02-27 00:00:00')
data = [
    dt
    for dt in [
        custom_timestamp(start_datetime, DAY*i) for i in range(10)
    ]
]
logger.debug(data)

輸出如下：

╰─? ?python -u "/Users/ponponon/Desktop/code/me/ideaboom/main.py"
2022-11-15 15:18:37.653 | DEBUG ? ?| __main__:<module>:67 - [datetime.datetime(2022, 2, 27, 0, 0), datetime.datetime(2022, 2, 28, 0, 0), datetime.datetime(2022, 3, 1, 0, 0), datetime.datetime(2022, 3, 2, 0, 0), datetime.datetime(2022, 3, 3, 0, 0), datetime.datetime(2022, 3, 4, 0, 0), datetime.datetime(2022, 3, 5, 0, 0), datetime.datetime(2022, 3, 6, 0, 0), datetime.datetime(2022, 3, 7, 0, 0), datetime.datetime(2022, 3, 8, 0, 0)]

使用 arrow 這個(gè)第三方庫

import arrow
from loguru import logger
from pydantic.datetime_parse import parse_datetime

for crawl_date in arrow.Arrow.range('day', parse_datetime('2022-02-27 00:00:00'), parse_datetime('2022-03-10 00:00:00')):
    logger.debug(crawl_date.datetime)

輸出如下：

╰─? ?python -u "/Users/ponponon/Desktop/code/me/ideaboom/datetime_arrow_range.py"
2022-11-15 15:28:52.130 | DEBUG ? ?| __main__:<module>:6 - 2022-02-27 00:00:00+00:00
2022-11-15 15:28:52.130 | DEBUG ? ?| __main__:<module>:6 - 2022-02-28 00:00:00+00:00
2022-11-15 15:28:52.130 | DEBUG ? ?| __main__:<module>:6 - 2022-03-01 00:00:00+00:00
2022-11-15 15:28:52.130 | DEBUG ? ?| __main__:<module>:6 - 2022-03-02 00:00:00+00:00
2022-11-15 15:28:52.130 | DEBUG ? ?| __main__:<module>:6 - 2022-03-03 00:00:00+00:00
2022-11-15 15:28:52.130 | DEBUG ? ?| __main__:<module>:6 - 2022-03-04 00:00:00+00:00
2022-11-15 15:28:52.130 | DEBUG ? ?| __main__:<module>:6 - 2022-03-05 00:00:00+00:00
2022-11-15 15:28:52.130 | DEBUG ? ?| __main__:<module>:6 - 2022-03-06 00:00:00+00:00
2022-11-15 15:28:52.130 | DEBUG ? ?| __main__:<module>:6 - 2022-03-07 00:00:00+00:00
2022-11-15 15:28:52.130 | DEBUG ? ?| __main__:<module>:6 - 2022-03-08 00:00:00+00:00
2022-11-15 15:28:52.130 | DEBUG ? ?| __main__:<module>:6 - 2022-03-09 00:00:00+00:00
2022-11-15 15:28:52.130 | DEBUG ? ?| __main__:<module>:6 - 2022-03-10 00:00:00+00:00

補(bǔ)充

當(dāng)然，Python還有很多生成不同要求的時(shí)間序列的方法，下面小編為大家整理了一些，希望對(duì)大家有所幫助

生成不同間隔的時(shí)間序列

import pandas as pd
import numpy as np
import datetime as dt

# 從2022-07-01開始，間隔3天，生成10條 時(shí)間數(shù)據(jù)
rng = pd.date_range('2022-07-01', periods = 10, freq = '3D')
print(rng)
print("#####################")

# 指定開始時(shí)間，結(jié)束時(shí)間  以及頻率
data=pd.date_range('2022-01-01','2023-01-01',freq='M')
print(data)
print("#####################")

# 從2022-01-01開始，間隔1天，生成20條 時(shí)間數(shù)據(jù)
time=pd.Series(np.random.randn(20),
           index=pd.date_range(dt.datetime(2022,1,1),periods=20))
print(time)
print("#####################")

# 不規(guī)則的時(shí)間間隔
p1 = pd.period_range('2022-01-01 10:10', freq = '25H', periods = 10)
print(p1)
print("######################################")

# 指定索引
rng = pd.date_range('2022 Jul 1', periods = 10, freq = 'D')
print(pd.Series(range(len(rng)), index = rng))
print("######################################")

測(cè)試記錄:

DatetimeIndex(['2022-07-01', '2022-07-04', '2022-07-07', '2022-07-10',
? ? ? ? ? ? ? ?'2022-07-13', '2022-07-16', '2022-07-19', '2022-07-22',
? ? ? ? ? ? ? ?'2022-07-25', '2022-07-28'],
? ? ? ? ? ? ? dtype='datetime64[ns]', freq='3D')
#####################
DatetimeIndex(['2022-01-31', '2022-02-28', '2022-03-31', '2022-04-30',
? ? ? ? ? ? ? ?'2022-05-31', '2022-06-30', '2022-07-31', '2022-08-31',
? ? ? ? ? ? ? ?'2022-09-30', '2022-10-31', '2022-11-30', '2022-12-31'],
? ? ? ? ? ? ? dtype='datetime64[ns]', freq='M')
#####################
2022-01-01 ? -0.957412
2022-01-02 ? -0.333720
2022-01-03 ? ?1.079960
2022-01-04 ? ?0.050675
2022-01-05 ? ?0.270313
2022-01-06 ? -0.222715
2022-01-07 ? -0.560258
2022-01-08 ? ?1.009430
2022-01-09 ? -0.678157
2022-01-10 ? ?0.213557
2022-01-11 ? -0.720791
2022-01-12 ? ?0.332096
2022-01-13 ? -0.986449
2022-01-14 ? -0.357303
2022-01-15 ? -0.559618
2022-01-16 ? ?0.480281
2022-01-17 ? -0.443998
2022-01-18 ? ?1.541631
2022-01-19 ? -0.094559
2022-01-20 ? ?1.875012
Freq: D, dtype: float64
#####################
PeriodIndex(['2022-01-01 10:00', '2022-01-02 11:00', '2022-01-03 12:00',
? ? ? ? ? ? ?'2022-01-04 13:00', '2022-01-05 14:00', '2022-01-06 15:00',
? ? ? ? ? ? ?'2022-01-07 16:00', '2022-01-08 17:00', '2022-01-09 18:00',
? ? ? ? ? ? ?'2022-01-10 19:00'],
? ? ? ? ? ? dtype='period[25H]', freq='25H')
######################################
2022-07-01 ? ?0
2022-07-02 ? ?1
2022-07-03 ? ?2
2022-07-04 ? ?3
2022-07-05 ? ?4
2022-07-06 ? ?5
2022-07-07 ? ?6
2022-07-08 ? ?7
2022-07-09 ? ?8
2022-07-10 ? ?9
Freq: D, dtype: int64
######################################

截?cái)鄷r(shí)間段

import pandas as pd
import numpy as np
import datetime as dt

# 從2022-01-01開始，間隔1天，生成20條 時(shí)間數(shù)據(jù)
time=pd.Series(np.random.randn(20),
           index=pd.date_range(dt.datetime(2022,1,1),periods=20))
print(time)
print("#####################")

# 只輸出2022-01-10 之后的數(shù)據(jù)
print(time.truncate(before='2022-1-10'))
print("#####################")

# 只輸出2022-01-10 之后的數(shù)據(jù)
print(time.truncate(after='2022-1-10'))
print("#####################")

# 輸出區(qū)間段
print(time['2022-01-15':'2022-01-20'])
print("#####################")

測(cè)試記錄:

2022-01-01 ? -0.203552
2022-01-02 ? -1.035483
2022-01-03 ? ?0.252587
2022-01-04 ? -1.046993
2022-01-05 ? ?0.152435
2022-01-06 ? -0.534518
2022-01-07 ? ?0.770170
2022-01-08 ? -0.038129
2022-01-09 ? ?0.531485
2022-01-10 ? ?0.499937
2022-01-11 ? ?0.815295
2022-01-12 ? ?2.315740
2022-01-13 ? -0.443379
2022-01-14 ? -0.689247
2022-01-15 ? ?0.667250
2022-01-16 ? -2.067246
2022-01-17 ? -0.105151
2022-01-18 ? -0.420562
2022-01-19 ? ?1.012943
2022-01-20 ? ?0.509710
Freq: D, dtype: float64
#####################
2022-01-10 ? ?0.499937
2022-01-11 ? ?0.815295
2022-01-12 ? ?2.315740
2022-01-13 ? -0.443379
2022-01-14 ? -0.689247
2022-01-15 ? ?0.667250
2022-01-16 ? -2.067246
2022-01-17 ? -0.105151
2022-01-18 ? -0.420562
2022-01-19 ? ?1.012943
2022-01-20 ? ?0.509710
Freq: D, dtype: float64
#####################
2022-01-01 ? -0.203552
2022-01-02 ? -1.035483
2022-01-03 ? ?0.252587
2022-01-04 ? -1.046993
2022-01-05 ? ?0.152435
2022-01-06 ? -0.534518
2022-01-07 ? ?0.770170
2022-01-08 ? -0.038129
2022-01-09 ? ?0.531485
2022-01-10 ? ?0.499937
Freq: D, dtype: float64
#####################
2022-01-15 ? ?0.667250
2022-01-16 ? -2.067246
2022-01-17 ? -0.105151
2022-01-18 ? -0.420562
2022-01-19 ? ?1.012943
2022-01-20 ? ?0.509710
Freq: D, dtype: float64
#####################

原文鏈接：https://segmentfault.com/a/1190000042816011

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網(wǎng)站首頁編程語言正文

Python按天實(shí)現(xiàn)生成時(shí)間范圍序列的方法詳解_python

目錄

使用 timedelta

使用 arrow 這個(gè)第三方庫

補(bǔ)充

相關(guān)推薦

日本免费高清视频-国产福利视频导航-黄色在线播放国产-天天操天天操天天操天天操|www.shdianci.com

網(wǎng)站首頁 編程語言 正文

Python按天實(shí)現(xiàn)生成時(shí)間范圍序列的方法詳解_python

目錄

使用 timedelta

使用 arrow 這個(gè)第三方庫

補(bǔ)充

相關(guān)推薦

網(wǎng)站首頁編程語言正文