Saravanan666/pypi-org huggingface dataset:
Package: jow-api
Jow APIThis is a Python package that allows you to search for recipes onJow.fr. The package provides an easy-to-use interface to search for recipes and fetch information about them.InstallationYou can install the package usingpip:pipinstalljow-apiUsageThe package provides convenient functions for searching and obtaining recipe information. Here's an example:fromjow_apiimportJow# Perform a search for recipes containing the word "poulet"recipes=Jow.search("poulet",limit=5)# Loop through each recipe in the results and print its attributesforrecipeinrecipes:print(f"ID:{recipe.id}")print(f"Name:{recipe.name}")print(f"URL:{recipe.url}")print(f"Description:{recipe.description}")print(f"Preparation time:{recipe.preparationTime}")print(f"Cooking time:{recipe.cookingTime}")print(f"Preparation extra time per cover:{recipe.preparationExtraTimePerCover}")print(f"Covers count:{recipe.coversCount}")print("Ingredients:")foringredientinrecipe.ingredients:print(f"\t{ingredient.name}:{ingredient.quantity}{ingredient.unit}")ifingredient.isOptional:print("\t(optional)")print()The Jow.search() function takes a search query as input, with an optional limit parameter, and returns a list of JowResult objects. Each JowResult object contains information about a single recipe, including its ID, name, URL on Jow.fr, and a list of ingredients.Each JowResult object contains the following attributes:id: The ID of the recipe.name: The name of the recipe.url: The URL of the recipe on Jow.fr.ingredients: A list of Ingredient objects, each of which represents an ingredient used in the recipe.imageUrl: The URL of the recipe image on Jow.fr.videoUrl: The URL of the recipe video on Jow.fr.description: A short description of the recipe.preparationTime: The time required to prepare the recipe (in minutes).preparationExtraTimePerCover: The extra time required to prepare the recipe for each additional serving.cookingTime: The time required to cook the recipe (in minutes).Each Ingredient object contains the following attributes:name: The name of the ingredient.quantity: The quantity of the ingredient needed for the recipe.unit: The unit of measurement for the quantity of the ingredient.isOptional: A boolean value indicating whether the ingredient is optional or not.LicenseThis package is licensed under theMIT License.DisclaimerThis package is not affiliated with Jow.fr in any way. The data is retrieved using publicly available APIs, and the package does not guarantee the accuracy of the information provided. Please use this package at your own risk.
Package: j-owens-soccerdata
SoccerData is a collection of wrappers over soccer data fromClub Elo,ESPN,FBref,FiveThirtyEight,Football-Data.co.uk,SoFIFAandWhoScored. You get Pandas DataFrames with sensible, matching column names
and identifiers across datasets. Data is downloaded when needed and cached
locally.importsoccerdataassd# Create scraper class instance for the Premier Leaguefive38=sd.FiveThirtyEight('ENG-Premier League','1819')# Fetch dataframesgames=five38.read_games()To learn how to install, configure and use SoccerData, see theQuickstart guide. For documentation on each of the
supported data sources, see theAPI reference.Disclaimer:As soccerdata relies on web scraping, any changes to the
scraped websites will break the package. Hence, do not expect that all code
will work all the time. If you spot any bugs, then pleasefork it and start
a pull request.
Package: joy2mouse
joy2mouse - mouse wrapper for your joystick/joypadby Daniel NögelConfigure=========* run joy2mouse - it will create the .joy2mouse config file* create a profile in the file .joy2mouse in your home directory* in order to use that profile run "joy2mouse -p EXAMPLE" if yourprofile is named "EXAMPLE"A profile explained===================[Minecraft]		# The profile's namedevice = /dev/input/js0	# ignore default device and use this insteadaxis = 0 1 4 5          # watch axis 0 1 4 and 50 = mouse 1		# map joypad button 0 to mouse button 11 = mouse 2             # ...2 = w                   # map joypad button 2 to key "w"3 = space               # map to space4 = mouse 4             # map to mouse button 45 = mouse 5             # map to mouse button 5Dependencies============python-xlibpython-virtkey
Package: joyboy
Science_SteganoScience_Stegano is a python project in which we hide the secret message inside any image using Tkinter and the PIL module.What is Image Steganography?steganography technique involves hiding sensitive information within an ordinary, non-secret file or message, so that it will not be detected. The sensitive information will then be extracted from the ordinary file or message at its destination, thus avoiding detection. Steganography is an additional step that can be used in conjunction with encryption in order to conceal or protect data.Steganography is a means of concealing secret information within (or even on top of) an otherwise mundane, non-secret document or other media to avoid detection. It comes from the Greek words steganos, which means “covered” or “hidden,” and graph, which means “to write.” Hence, “hidden writing.”You can use steganography to hide text, video, images, or even audio data. It’s a helpful bit of knowledge, limited only by the type of medium and the author’s imagination.project preqThis project requires good knowledge of python and the Tkinter library.
tkinter is module that is frequently used to build graphical interface in many language GUI.and we will need also Pillow.
This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.python -m pip install pillowRequirementscffi==1.15.1
cryptography==39.0.0
Pillow==9.4.0
pycparser==2.21and for you benefice, use a virtual environement :creating a venv for windows\Linux\Mac :python -m venv <directory>activating venvfor Windows :# cmd
venv\scripts\activate.bat
# powershell 
venv\scripts\Activate.ps1for Linux\Mac :source myvenv/bin/activatewhat's inside a venv?for windows :.
├── Include
├── Lib
│   └── site-packages
├── pyvenv.cfg
└── Scripts
    ├── activate
    ├── activate.bat
    ├── Activate.ps1
    ├── deactivate.bat
    ├── pip3.10.exe
    ├── pip3.exe
    ├── pip.exe
    ├── python.exe
    └── python.exefor Linux\Mac:.
|--bin
|   |--activate
|   |--activate.csh
|   |--activate.fish
|   |--easy_install
|   |--easy_install-3.7
|   |--pip
|   |--pip3
|   |--pip3.7
|   |--python->python3
|   |--python3->/usr/local/bin/python3
|
|--include
|--lib
|   |--python3.7
|         |--site-packages
|--pyvenv.cfgdeactivating a venvOnce you have finished working on your project, it’s a good habit to deactivate its venv. By deactivating, you leave the virtual environment. Without deactivating your venv, all other Python code you execute, even if it is outside your project directory, will also run inside the venv.deactivateuninstall all packagepip freeze | xargs pip uninstall -y
Package: joycon-python
Python driver for Nintendo Switch Joy-ConWe are referring todekuNukem/Nintendo_Switch_Reverse_EngineeringInstallpipinstalljoycon-pythonhidapipyglmUsageQuick status checkcdjoycon-python/
python-mpyjoycon.joyconor use as modulefrompyjoyconimportJoyCon,get_R_idjoycon_id=get_R_id()joycon=JoyCon(*joycon_id)joycon.get_status()Status values{'battery':{'charging':0,'level':2},'buttons':{'right':{'y':0,'x':0,'b':0,'a':0,'sr':0,'sl':0,'r':0,'zr':0},'shared':{'minus':0,'plus':0,'r-stick':0,'l-stick':0,'home':0,'capture':0,'charging-grip':0},'left':{'down':0,'up':0,'right':0,'left':0,'sr':0,'sl':0,'l':0,'zl':0}},'analog-sticks':{'left':{'horizontal':0,'vertical':0},'right':{'horizontal':2170,'vertical':1644}},'accel':{'x':879,'y':1272,'z':549},'gyro':{'x':-354,'y':-7,'z':281}}You needcython-hidapito use Bluetooth / HID connection in Python.Alternatively, you can usehidinstead ifcython-hidapifails to find your JoyCons.GyroscopeWe have a specialized class which tracks the gyroscope for you, and
exposes this tracked state in a simplified manner:frompyjoyconimportGyroTrackingJoyCon,get_R_idimporttimejoycon_id=get_R_id()joycon=GyroTrackingJoyCon(*joycon_id)foriinrange(20):print("joycon pointer:  ",joycon.pointer)print("joycon rotation: ",joycon.rotation)print("joycon direction:",joycon.direction)print()time.sleep(0.05)Button eventsWe have a specialized class which tracks the state of the JoyCon buttons and
provides changes as events. Here is an example of how it could be used withpygame:frompyjoyconimportButtonEventJoyCon,get_R_idimportpygamejoycon_id=get_R_id()joycon=ButtonEventJoyCon(*joycon_id)...while1:pygame.time.wait(int(1000/60))...forevent_type,statusinjoycon.events():print(event_type,status)...pygame.display.flip()Combining multiple JoyCon helper classesimportpyjoyconclassMyJoyCon(pyjoycon.GyroTrackingJoyCon,pyjoycon.ButtonEventJoyCon,):passEnvironmentsmacOS Mojave (10.14.6)Python (3.7.4)hidapi (0.7.99.post21)
Package: joyo
joyo.pyjyoyouは常用漢字一覧を取得するプロジェクトです.簡単な漢字の一覧を取得したい時などに使用できると思います.インストール方法$pipinstalljoyo使い方joyo.load関数を使って常用漢字一覧を取得する. その際, 常用漢字一覧が取得されていなければ 取得する:importjoyokanjis=joyo.load()print(kanjis)出力:亜哀挨愛曖悪握圧扱宛嵐安案暗以衣位囲医依委威為畏胃尉異移萎偉椅彙意違維慰遺緯域育一
壱逸茨芋引印因咽姻員院淫陰飲隠韻右宇羽雨唄鬱畝浦運雲永泳英映栄営詠影鋭衛易疫益液駅
悦越謁閲円延沿炎怨宴媛援園煙猿遠鉛塩演縁艶汚王凹央応往押旺欧殴桜翁奥横岡屋億憶臆虞
乙俺卸音恩温穏下化火加可仮何花佳価果河苛科架夏家荷華菓貨渦過嫁暇禍靴寡歌箇稼課蚊牙
瓦我画芽賀雅餓介回灰会快戒改怪拐悔海界皆械絵開階塊楷解潰壊懐諧貝外劾害崖涯街慨蓋該
概骸垣柿各角拡革格核殻郭覚較隔閣確獲嚇穫学岳楽額顎掛潟括活喝渇割葛滑褐轄且株釜鎌刈
干刊甘汗缶完肝官冠巻看陥乾勘患 ...
...パスを指定する:frompathlibimportPathjoyo.load(Path('/tmp/abc'))常用漢字一覧を更新する:joyo.update()パス名も指定できる:joyo.update('/tmp/abc')LICENSEMIT
Package: joyoussync
joyoussyncjoyousis a calendar app for the wagtail CMS.
It supports ical import from file,
but unfortunately not subscription to ical URLs.
This is an attempt to add this support for a very narrow usecase.Subscription a managed via a settingsmenu in wagtail admin.
The sync is done using Django Q to execute sync functions continuously in the background.
This means you also have to setup Django Q, but all you have to do for that is described here.Istallation and setupSetupjoyousInstalljoyoussyncpip install joyoussyncAdd it to and Django QINSTALLED_APPSINSTALLED_APPS=[...'django_q','joyoussync',...]Configure Django Q in the django settingsQ_CLUSTER={'name':'Django','timeout':30,'retry':60,'workers':1,'orm':'default','catch_up':False,'has_replica':True,}Start a qclusterpython manage.py qcluster
Package: joyreactor-stats
joyreactor_statsПолучение статистики по публикациям аккаунта наjoyreactorУстановка пакетаУстановка пакета с PyPi$pipinstalljoyreactor-statsУстановка пакета из исходного кодаИсходный код размещается наGitHub.Скачайте его и установите пакет:$gitclonehttps://github.com/Genzo4/joyreactor_stats
$cdjoyreactor_stats
$pipinstall.Использование пакетаПодключаем:fromjoyreactor_statsimportJoyreactorStatsСоздаём экземплярСоздаём экземпляр JoyreactorStats.
Нужно указать основной параметр:account - аккаунт на Joyrector, для которого собирается статистика.Можно указать дополнительные параметры:open_xls - открывать в excel полученный отчёт.
Значение по умолчанию: Trueshow_progress - показывать прогресс поиска.
Значение по умолчанию: Truequiet - не выводить никаких сообщений на экран.
Значение по умолчанию: Falsejoy_stats=JoyreactorStats('AccountName')Запускаем получение отчётаjoy_stats.work()Пример использования модуля см. в файле main.pyJoyreactor StatsНа основе пакета joyreactor_stats сделана программа Joyreactor Stats.
Готовые билды программы можно взять в релизах на сайте Github (https://github.com/Genzo4/joyreactor_stats/releases)Билд под Windowspip install -r requirements_build.txt
pyinstaller -F -n joyreactor_stats -i favicon.ico main.py --version-file version.txtГотовый исполняемый файл появляется в папке dist.P.S. Для Windows 7 делать билд максимум под Python 3.8Помощь по параметрам командной строки можно узнать выполнив:joyreactor_stats.exe -hChangelog
Package: joyrec
JoyRec: Joy to recommend介绍数据处理模块数据处理模块用于从数据源（）中提取和清晰数据，并将数据转换为可用于推荐模型的格式。这个模块通常包括数据预处理、数据分析、数据标准化、特征工程等子模块。推荐算法模块推荐算法模块是推荐系统的核心部分，包括各种推荐算法的实现，如基于协同过滤的算法，基于内容的推荐算法，深度学习推荐算法等。该模块通常提供一个API，供开发者调用。评估和测试模块评估和测试模块用于评估和测试推荐算法的性能。这个模块通常包括离线测试、在线测试、A/B测试等。部署和管理模块部署和管理模块用于将推荐系统部署到生产环境中，并监控和管理系统的运行。这个模块通常包括集成部署、容器化、日志管理、性能监控、异常处理等子模块。可解释性模块可解释性模块用于提高推荐系统的可解释性和透明度。这个模块通常包括模型解释和解释器、用户行为分析和用户画像等子模块。交互界面模块交互界面模块用于为用户提供推荐服务的交互界面。这个模块通常包括移动应用程序、Web应用程序、桌面应用程序等子模块。
Package: joyvis
JoyVisRDF VisualizationFor SPARQL EndpointfromJoyVisimportVisv=Vis('http://localhost:3030/publicdata/query')nw=v.vis(limit=50)result='html/sample1.html'nw.show(result)For Local FilefromJoyVisimportVisv=Vis(filepath='/Users/joyhong/sample_result.ttl')nw=v.vis_file(limit=200)result='html/sample8.html'nw.show(result)For Jupyter NotebookfromJoyVisimportVisv=Vis('http://localhost:3030/publicdata/query',notebook=True)nw=v.vis(limit=50)result='html/sample_notebook.html'nw.show(result)RequirementspyvisRDFLibSPARQLWrapper
Package: jp2tiff
jp2totiff - Convert jpeg2000 raster to tiff rasterPython implementation to convert jp2 raster images typically from Sentienl-2 satellite platform to tiff raster.Saif Aati-saif@caltech.edu-saifaati@gmail.comjp2totiffis a Python library and command line tool for converting jp2 raster to tiff reasters.
Its main source code repository ishttps://github.com/SaifAati/JP2toTiff.git.InstallationTo installjp2totifffrom PyPI:pip install jp2totiffAlternatively, to installjp2totifffrom sources:git clone https://github.com/SaifAati/JP2toTiff.git
cd JP2totiff
pip install -e .
Package: j-pandas-datalib
Python DatalibUseful Python abstractions around the Pandas file Interaction and other common Tasks.VS Code DevcontainerThis workspace contains aVscode devcontainer.DevelopmentBump / Release VersionTriggerVersion Bumppipeline with appropriate target.Merge the created PullRequest. Name::shipit: Bump to Version: <versionnumber>This will create a Tag onmainCreate a release from this Tag. A Pipeline will automatically push toPypi
Package: jp-arrow
jp_arrow.Conver date/datetime from/to Japanese date/datetime.This module highly depend on "arrow".ISO date/datetime from/to Japanse date/datetime.100% compatible for "arrow" except japanses date.builtins format for japanese date.Installpip install jp_arrowHow to useIn[1]:importjp_arrowIn[2]:jp_arrow.utcnow().format('EEYYYYMMDD',locale='ja')Out[2]:'令和04年0715日'In[3]:In[2]:dt=jp_arrow.get('平成36年01月13日')In[3]:dtOut[3]:<Arrow[2024-01-13T00:00:00+00:00]>In[4]:dt.format(jp_arrow.FORMAT_WAREKI)Out[4]:'令和6年1月13日'In[5]:dt.format(jp_arrow.FORMAT_WAREKI_W)Out[5]:'令和06年01月13日'In[6]:dt.format(jp_arrow.FORMAT_JISX0301)Out[6]:'R6.1.13'In[7]:dt.format(jp_arrow.FORMAT_JISX0301_W)Out[7]:'R06.01.13'In[8]:
Package: jparse
This tool is created to make retrieving data from httpresponse.json()or json libraryjson.loads()easy.
It helps toflatten,filter,select,update, andsortsuch objects, finallyto_df(pandas.DataFrame format).Simple Case>>>fromjparseimportJParser>>>jp=JParser()>>>TEST_CASE1=[{'A1':1,'A2':2,'A3':3},{'A1':[4,5,6],'A2':7,'A3':'x'}]>>>print(jp.flatten(TEST_CASE1))defaultdict(None,{'0_A1':1,'0_A2':2,'0_A3':3,'1_A1_0':4,'1_A1_1':5,'1_A1_2':6,'1_A2':7,'1_A3':'x'})DependenciesPandasInstallationpipinstalljparseorpipinstallgit+https://github.com/elisong/jparse.git#egg=jparseDocumentDocument hereChangelogv0.1.8 - 2018-08-18ChangeJParser.to_dfby adding sort before to DataFramev0.1.7 - 2018-08-18Removecollections.dafaultdictfrom japrse.pyv0.1.6 - 2018-08-18Changepd.DataFrame()topd.DataFrame.from_records()forJParser.to_df()Changeassert_frame_equal import for tests/test_to_df.pyv0.1.5 - 2018-08-18Changedremove JParser.to_df() reset_index()v0.1.4 - 2018-08-15Changedlicense.v0.1.3 - 2018-08-13Addedproject.
Package: jparser
import urllib2
from jparser import PageModel
html = urllib2.urlopen("http://news.sohu.com/20170512/n492734045.shtml").read().decode('gb18030')
pm = PageModel(html)
result = pm.extract()

print "==title=="
print result['title']
print "==content=="
for x in result['content']:
    if x['type'] == 'text':
        print x['data']
    if x['type'] == 'image':
        print "[IMAGE]", x['data']['src']
Package: jpath
Access nested dicts and lists using JSON-like path notation.Note that this code is written for python 3.The notation is as follows:You can just write the names of components in your path like you
would in javascript:foo.bar.bazTo access arrays or names with spaces in them, use the ‘[]’ notation.
You can use negative indices with arrays to count from the end.[“foo”][“bar”][“baz”]
array[-1].attr
[3]You can use the wildcard character ‘*’ to iterate over all elements:foo.*.baz
[“foo”][*][“baz”]This may return more or less than a single element. Use get to get the
first one, and get_all to get a list of all possibilities.
If you want to skip any number of elements in path, use two dots ‘..’:foo..bazYou can slice the arrays just like in python:array[1:-1:2]Finally, you can filter the elements:foo(bar.baz=true)
foo.bar(baz>0).baz
foo(bar=”yawn”).barAt the moment only =, >, <, >=, <= and != operators are available,
and you can only use them with strings, integers and boolean values.This code was written in STX Next.
Package: jpath-finder
An implementation of JsonPath for python with a good performance.AboutThis library was created based on the<https://github.com/h2non/jsonpath-ng>library.The following changes were made in order to improve the execution time and decrease memory usage:Refactor in the JsonPath classes.The datum_in_context class was removed.Add new functionality like slice, sum, avg, and, or.The Parser and Lexer method’s were changed to static methods.Remove update and filter methods, this library just implement the find method.Add new error classes.Quick StartTo install, use pip:$pipinstalljpath-finderUsageBasic usage:$python>>>fromjpath_finder.jpath_parserimportfind# find("jsonpath", json_data)# Easy way to extract values through jsonpath.>>>find("foo[*].baz",{"foo":[{"baz":1},{"baz":2}]})[1,2]# Also we can use an index '1' from a list or string.>>>find("foo[1].baz",{"foo":[{"baz":1},{"baz":2}]})[2]>>>find("foo[1][1:6]",{"foo":["The example","String example"]})['tring']>>>find("foo..baz",{"foo":[{"baz":1},{"baz":2}]})[1,2]# debug=True if you can log the error.# find("jsonpath", json_data, debug=True)>>>find("[2]",123,debug=True)JPathNodeError:InvalidPath[2]for123[]# debug=False by default# find("jsonpath", json_data)>>>find("[2]",123)[]# Note: if you have a custom_logger, it needs a debug method like "custom_logger.debug(message)".# find("[2]", 123, logger=custom_logger, debug=True)JSONPath SyntaxnameSyntaxExampleRoot“$”$.objectsThis“@”$.objects[?(@.name==”foo”)]Descendant“..”$.objects..priceUnion“|”$.objects_1 | $.objects_2Fields[0-9a-zA-Z]$.objects.price.valueIndex[0-9]$.objects[3].valueAllIndex“[*]”$.objects[*].costSlice“[2:6:2]”$.objects[2:20:3].costSorted“sorted”$.objects.`sorted`len“len”$.objects.`len`sum“sum”$.objects.`sum`avg“avg”$.objects.`avg`filter“[?(expr)]”$.objects[?(@some_field > 5)]$.objects[?(some_field = “foobar”)]$.objects[?(some_field != “foobar”)]$.objects[?(some_field>5&other<2|other=3)]arithmetic“+”
“*”$.foo + “_” + $.bar$.foo * 12$.objects[*].cow + $.objects[*].catContributorsThis package is authored and maintained by:William Alvarez <https://github.com/wapwallace>Copyright and LicenseCopyright 2013 - Kenneth KnowlesCopyright 2017 - Tomas AparicioCopyright 2020 - William AlvarezLicensed under the Apache License, Version 2.0 (the “License”); you may
not use this file except in compliance with the License. You may obtain
a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an “AS IS” BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Package: jpaulorc-csv-converter
File ConverterUsed to convert files to CSV or JSON.
This project does not use any library to convert these files.IntroductionLearning how to deploy a lib on PyPi at PUC using Poetry.What this project can doRead aCSVorJSONfile or afolderwith files and convert them toCSVorJSON.If the file was aCSVthen it will be converted toJSON.If the file was aJSONthen it will be converted toCSV.This project is a program running on terminal, preferably install with pipx:pipxinstalljpaulorc-csv-converterTo use, just type in:csv_converter--helpThis will list all available options.
Package: jpbizday
JPBizDay日本の営業日を取得するライブラリです。jpholidayに依存しています (作者のLalcsさんに感謝します)。インストールpip でインストールします。$pipinstalljpbizdayサンプルコード指定日が営業日かを判定する>importjpbizday>importdatetime>jpbizday.is_bizday(datetime.date(2020,1,1))False>jpbizday.is_bizday(datetime.date(2020,1,6))True指定年の営業日を取得する>jpbizday.year_bizdays(2020)[datetime.date(2020,1,6),datetime.date(2020,1,7),datetime.date(2020,1,8),datetime.date(2020,1,9),datetime.date(2020,1,10),datetime.date(2020,1,14),datetime.date(2020,1,15),...datetime.date(2020,12,23),datetime.date(2020,12,24),datetime.date(2020,12,25),datetime.date(2020,12,28),datetime.date(2020,12,29),datetime.date(2020,12,30),datetime.date(2020,12,31)]>len(jpbizday.year_bizdays(2020))259>len(jpbizday.year_bizdays(2021))260>len(jpbizday.year_bizdays(2022))259>len(jpbizday.year_bizdays(2023))258>len(jpbizday.year_bizdays(2024))259>len(jpbizday.year_bizdays(2025))258指定月の営業日を取得する>jpbizday.month_bizdays(2020,1)[datetime.date(2020,1,6),datetime.date(2020,1,7),datetime.date(2020,1,8),datetime.date(2020,1,9),datetime.date(2020,1,10),datetime.date(2020,1,14),datetime.date(2020,1,15),datetime.date(2020,1,16),datetime.date(2020,1,17),datetime.date(2020,1,20),datetime.date(2020,1,21),datetime.date(2020,1,22),datetime.date(2020,1,23),datetime.date(2020,1,24),datetime.date(2020,1,27),datetime.date(2020,1,28),datetime.date(2020,1,29),datetime.date(2020,1,30),datetime.date(2020,1,31)]>len(jpbizday.month_bizdays(2020,1))19指定月の営業日を取得する>jpbizday.bizdays(datetime.date(2020,1,1),datetime.date(2020,1,18))[datetime.date(2020,1,6),datetime.date(2020,1,7),datetime.date(2020,1,8),datetime.date(2020,1,9),datetime.date(2020,1,10),datetime.date(2020,1,14),datetime.date(2020,1,15),datetime.date(2020,1,16),datetime.date(2020,1,17)]>len(jpbizday.bizdays(datetime.date(2020,1,1),datetime.date(2020,1,18)))9指定月の最初の営業日を取得する>jpbizday.first_bizday(2020,1)datetime.date(2020,1,6)>jpbizday.first_bizday(datetime.date(2020,1,1))datetime.date(2020,1,6)>datetime.datetime.today()datetime.datetime(2020,2,2,4,54,15,305254)>jpbizday.first_bizday(datetime.datetime.today())datetime.date(2020,2,3)指定月の最後の営業日を取得する>jpbizday.last_bizday(2020,5)datetime.date(2020,5,29)>jpbizday.last_bizday(datetime.date(2020,5,15))datetime.date(2020,5,29)>datetime.datetime.today()datetime.datetime(2020,2,2,4,55,33,664474)>jpbizday.last_bizday(datetime.datetime.today())datetime.date(2020,2,28)指定月の最初の営業日なのかを判定する>jpbizday.is_first_bizday(datetime.date(2020,1,1))False>jpbizday.is_first_bizday(datetime.date(2020,1,6))True>datetime.datetime.today()datetime.datetime(2020,2,2,4,58,5,843849)>jpbizday.is_first_bizday(datetime.datetime.today())False指定月の最後の営業日なのかを判定する>jpbizday.is_last_bizday(datetime.date(2020,1,31))True>jpbizday.is_last_bizday(datetime.date(2020,1,30))False>datetime.datetime.today()datetime.datetime(2020,2,2,4,59,6,89896)>jpbizday.is_last_bizday(datetime.datetime.today())False