В прошлом посте говоря "Все вызовы теперь одинаковы" я несколько слукавил. Всё-таки есть в этом зоопарке версий некоторая несовместимость вызов которой просто так не унифицировать. Эти моменты вынесены в отдельный модуль QtCompat (compatibility). Там не так много функций но они довольно полезны.
Этот модуль содержит унификаци модуля shiboken2, функций loadUi, translate и несколько переименованных функций классов или изменённую сигнатуру аргументов и возвращаемых значений. Это единственное исключение из правила когда вам потребуется где-то изменить свой код кроме импортов и этот код не похож на обычный код PySide2.
Например, в PyQt4 и PySide есть метод
QHeaderView.setResizeMode
Для PyQt5 и PySide2 они были благополучно переименованы в
QHeaderView.setSectionResizeMode
Чтобы применить этот метод следует использовать такой код
from Qt import QtCompath
header = self.horizontalHeader()
QtCompat.QHeaderView.setSectionResizeMode(header, QtWidgets.QHeaderView.Fixed)
Унификация загрузки UI файлов:
# PySide2
from PySide2.QtUiTools import QUiLoader
loader = QUiLoader()
widget = loader.load(ui_file)
# PyQt5
from PyQt5 import uic
widget = uic.loadUi(ui_file)
# Qt.py
from Qt import QtCompat
widget = QtCompat.loadUi(ui_file)
Хорошо что таких моментов не много и их легко запомнить.
Полный список можно посмотреть в таблице.
#qt#tricks
BTS’ “Permission To Dance On Stage - Live” becomes the First Live Album by an Asian Act to enter the Top 10 of the Worldwide Apple Music Album Charts!
CONGRATULATIONS BTS
#CHARTS
•@OUR_7_PRINCES•
“Dynamite” has surpassed 2.1 billion streams on Spotify, BTS's first song to do so!
Congratulations bts 💜
Let's get that 2B for the MV too.
https://youtu.be/gdZLi9oWNZg?si=MK1oUNrKA-X2B0S0
#CHARTS | #SPOTIFY
•@OUR_7_PRINCES•
"Butterfly" by BTS now hits 300 Million streams on Spotify, becoming their 44th song to do so..!
CONGRATULATIONS BTS
#CHARTS | #SPOTIFY
•@OUR_7_PRINCES•
📊| @/BTS_twt's “PERMISSION TO DANCE ON STAGE – LIVE” (14.5M) breaks the record as the BIGGEST DEBUT for a live album in spotify's HISTORY, surpassing Beyonce ‘Homecoming: The Live Album’ (8.5)!
CONGRATULATIONS BTS
RECORD MAKER BTS
BTS GREATEST OF ALL TIME
#CHARTS | #SPOTIFY
•@OUR_7_PRINCES•
🌍| #PTD_ON_THE_STAGE_LIVE album on itunes —
#1. Australia
#1. Austria
#1. Brazil
#1. France
#1. India
#1. Philippines
#1. Spain
— 7 #1 around the world so far!
Apple Music : https://music.apple.com/in/album/permission-to-dance-on-stage-live/1823627665
Spotify link : https://open.spotify.com/album/7xLhqoM0ilHRKUg2irVSDI?si=VaQHZroSQY2V7tdhnz0oeg
#CHARTS | #iTUNES
•@OUR_7_PRINCES•
#go#chart#charts#cncf#helm#kubernetes
Helm is a tool that helps manage applications on Kubernetes. It simplifies deploying and managing apps by using pre-configured packages called Helm Charts. These charts include all the necessary resources for an application, making it easy to install, update, or remove apps with just a few commands. This saves time and reduces errors, as you only need to edit a single file to change settings across different environments. Using Helm boosts productivity and makes deploying complex applications much easier.
https://github.com/helm/helm
#other#awesome#chartjs#charts#integrations#plugins#resources
Chart.js is a flexible JavaScript library for creating interactive charts with extensive customization options. You can use it with popular frameworks like React, Vue, and Angular through dedicated adapters, and extend its functionality with plugins for styling, features, and data handling. The library supports three major versions—v2 (April 2016), v3 (April 2021), and v4 (November 2022)—each with different plugin compatibility. This means you can choose the version that best fits your project needs and find compatible extensions for charts, animations, zooming, data labels, and more. Whether you need basic charts or advanced visualizations with custom interactions, Chart.js provides the tools to build professional data displays efficiently.
https://github.com/chartjs/awesome
#typescript#charts#data_grid#data_table#date_picker#date_range_picker#hacktoberfest#react#time_picker
MUI X provides advanced React components like Data Grids, Date Pickers, Charts, and Tree Views for building data-rich apps, offering free MIT-licensed tools for basic needs and paid Pro/Premium plans with advanced features like server-side data handling and AI assistance, saving development time with ready-made solutions while allowing customization for any design system[1][2][4].
https://github.com/mui/mui-x