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@ -13,4 +13,6 @@
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| 文章标题 | 简要介绍 |
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|---|---|
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| [Python With 关键字和语句](https://www.ossez.com/t/python-with/13387) | 针对 with 关键字的使用进行了一些解答。 |
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| [Python With 关键字和语句](https://www.ossez.com/t/python-with/13387) | 针对 with 关键字的使用进行了一些解答 |
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| [Python DataTime 日期处理](https://www.ossez.com/t/python-datatime/13388) | 关于日期函数处理的一些小的介绍和讨论 |
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| [Python 日期格式和时间以及当前时间和时间戳](https://www.ossez.com/t/python/13389) | 关于时间和当前时间的时间戳的获取 |
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yfinance==0.1.54
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python-dateutil~=2.8.1
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setuptools~=54.0.0
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# -*- coding: utf-8 -*-
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# Python script to Process DateTime
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# Author - HoneyMoose
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import datetime
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json_filename = 'resources/black_rock_test.json'
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today = datetime.date.today()
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print("Today's date:", today)
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# 从字符串创建日期对象
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date_user = datetime.datetime.strptime('1/1/2021', '%m/%d/%Y')
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print("格式化后的日期对象:", date_user)
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# 日期对象通过对格式化输出
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print("日期对象格式化输出 1 =", today.strftime("%d/%m/%Y"))
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print("日期对象格式化输出 2 =", today.strftime("%B %d, %Y"))
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print("日期对象格式化输出 3 =", today.strftime("%m/%d/%y"))
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print("日期对象格式化输出 4 =", today.strftime("%b-%d-%Y"))
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# 当前时间戳
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now = datetime.datetime.now()
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print("当前时间戳:", now)
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# -*- coding: utf-8 -*-
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# Python script to Read file from JSON and convert to YAML
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# Author - HoneyMoose (https://www.ossez.com)
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# Python script to Read file from JSON and convert to YAML
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# Author - HoneyMoose (https://www.ossez.com)
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# Author - yucheng.hu@insight.com
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import datetime
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import json
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import ruamel.yaml as yaml
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from dateutil.relativedelta import relativedelta
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json_filename = 'resources/black_rock_test.json'
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yaml_filename = 'resources/black_rock_test.yaml'
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ELIGIBLE_FOR_RETIREMENT = 'eligible_for_retirement'
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# Get Difference Years
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def get_age(data_input):
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date_user = datetime.datetime.strptime(data_input, '%m/%d/%Y')
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date_current = datetime.datetime.now()
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time_difference = relativedelta(date_current, date_user)
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return time_difference.years
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# Read and process JSON
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with open(json_filename) as json_file:
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data = json.load(json_file)
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print(type(data))
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data_bod = data['date_of_birth']
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for data_dict in data:
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label_id = data_dict['label_id']
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print(str(label_id))
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json_file.close()
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if get_age(data_bod) >= 65:
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data[ELIGIBLE_FOR_RETIREMENT] = True
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else:
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data[ELIGIBLE_FOR_RETIREMENT] = False
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# Write to YAML
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with open(yaml_filename, 'w') as yaml_file:
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[
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{
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"label_id": 603,
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"user_name": "YUCHENG-L1"
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},
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{
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"label_id": 604,
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"user_name": "YUCHENG-L2"
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"first_name": "John",
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"last_name": "Doe",
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"date_of_birth": "1/1/2021"
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}
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]
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[
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{
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"label_id": 603,
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"user_name": "YUCHENG-L1"
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},
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{
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"label_id": 604,
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"user_name": "YUCHENG-L2"
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"first_name": "John",
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"last_name": "Doe",
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"date_of_birth": "1/1/2021"
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}
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]
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Reference in New Issue