Python打印每一天日期

最新推荐文章于 2024-06-14 08:43:47 发布

stone_0625

最新推荐文章于 2024-06-14 08:43:47 发布

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分类专栏： Python 文章标签： python numpy

本文链接：https://blog.youkuaiyun.com/qq_43511026/article/details/127751551

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2022/11/8 15:17
# @Author  : Stone
# @File    : demo3.py
import datetime
import pandas as pd


def split_time_ranges(from_time, to_time, frequency):
    from_time, to_time = pd.to_datetime(from_time), pd.to_datetime(to_time)
    time_range = list(pd.date_range(from_time, to_time, freq='%sS' % frequency))
    if to_time not in time_range:
        time_range.append(to_time)
    time_range = [item.strftime("%Y-%m-%d") for item in time_range]
    time_ranges = []
    for item in time_range:
        f_time = item
        t_time = (datetime.datetime.strptime(item, "%Y-%m-%d") + datetime.timedelta(seconds=frequency))
        if t_time >= to_time:
            time_ranges.append(f_time)
            break
        time_ranges.append(f_time)
    return time_ranges


if __name__ == '__main__':
    start_time = '2022-01-01'
    end_time = '2023-01-01'
    frequency = 60 * 60 * 24
    time_ranges = split_time_ranges(start_time, end_time, frequency)
    print(time_ranges)