I'm trying to build PyQt5 bindings for some C++ QT5 code. I've tried following the answer here:
Is it possible to embed C++ widget to PyQt application?
The code in the linked repo relies on the sipconfig module, but I haven't been able to figure out where / how to get this module.
Is the sipconfig module still needed? The example code and documentation https://www.riverbankcomputing.com/static/Docs/sip/examples.html
for sip5 doesn't mention it.
sipconfig comes inside the sip package.
If you are using ubuntu's pyqt5 then install it with apt-get install python3-sip, otherwise use pip: python3 -m pip install sip.
Related
I am running WSL2 under Windows 10.
If I type "gedit &" into the WSL console, the Gedit application window pops up. Thus I assume that WSLg properly works.
Next, I am trying to run the following PyQt5 project:
https://github.com/rafaelpadilla/review_object_detection_metrics
However, no application window pops up this time, although no error message appears either.
First of all, I do wonder whether this could work at all with WSL!?
Appendix for additional context:
I am not using conda because of licensing issues, but a combination of pyenv + poetry instead. First I had problems with a missing library (libxcb.so), which I could solve by running "sudo apt python-pyqt5". Now everything seems to work, except from no application window being shown.
UPDATE:
I tried with "/src/pyqt-official/qtdemo/qtdemo.py" from the official PyQt Examples github repository and I observed exactly the same issue.
There is no error message. Last prompt informs me that the "xcb plugin was loaded“, then nothing happens. In particular, no window is showing up.
Some related observations:
(1) I haven't yet updated my grafics card driver to support vGPUs. However, Gedit works and opens in a separate window.
(2) Unless I do "sudo apt install python3-pyqt", I receive an error message saying that it cannot find "libxcb.so". However, I am running the code in a virtual pyenv/poetry environment, which is separate from the system python installation. I don't understand why "sudo apt install python3-pyqt" makes a difference here. Shouldn't installing "PyQt5" with poetry obtain a wheel that comes with all libraries already compiled? I don't understand how all of this is playing together.
Open Questions:
Do you think the driver issue could be an explanation? I actually cannot imagine that. I thought it is only about better performance for OpenGL applications.
Can you explain observation (2)?
What else can I do?
First of all, I do wonder whether this could work at all with WSL!?
I can't tell you if that particular application will run under WSL, but my expectation is that it will. As far as I can tell in its dependencies there doesn't seem to be any reliance on GPU compute. That, to me, would be the trickiest part to configure under WSL (but is still typically possible). However, there may be other dependencies (not covered below) that you need to get running before the application can work.
What I can confirm is that PyQt works under WSL just fine. However, keep in mind that a default Ubuntu installation under WSL is based on a non-GUI Ubuntu Server distribution, rather than standard Ubuntu (with a desktop and GUI).
This means that Ubuntu Server is often missing system level libraries needed for GUI support, which appears to be the case here.
I don't understand why "sudo apt install python3-pyqt" makes a difference here. Shouldn't installing "PyQt5" with poetry obtain a wheel that comes with all libraries already compiled?
Poetry and/or Pip manage the Python library dependencies, but those Python libraries still require the native system library dependencies. That's where sudo apt install python3-pyqt5 comes in. Under a desktop Ubuntu system, most of these libraries would already be in place. However, with Ubuntu Server/WSL, they aren't.
For reference, here's my configuration. On a freshly initialized Ubuntu 22.04 WSL2 distribution:
sudo apt update && sudo apt upgrade -y
sudo apt install python3-venv python3-pyqt5
mkdir -p src/pyqt_test
cd src/pyqt_test
python3 -m venv .venv
source .venv/bin/activate
pip install pyqt5
I was then able to create and run the following, taken from Learn Python PyQt:
import sys
from PyQt5 import QtWidgets
app = QtWidgets.QApplication(sys.argv)
windows = QtWidgets.QWidget()
windows.resize(500,500)
windows.move(100,100)
windows.show()
sys.exit(app.exec_())
The window displayed correctly.
first post here, so I'm going to try to be as thorough as possible.
I'm trying to install numpy/matplotlib/pandas for a project. First time trying to use them. I'm following the steps of a tutorial, so I can't vary from that too much (have to use anaconda). I'm using mac OS Sierra 10.12.5
What I've done:
installed python 3, anaconda, and create and initialize a virtual environment using Anaconda. I then type:
conda install numpy pandas matplotlib
The terminal then tells me what new packages will be installed, I proceed. A few are installed successfully, and then I get this error:
CondaError: CondaHTTPError: HTTP None None for url https://repo.continuum.io/pkgs/free/osx-64/mkl-2017.0.3-0.tar.bz2
Elapsed: None
An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
I thought this might be a connection issue, as I'm in China, but I've tried multiple times both using and not using a VPN. This problem is really stopping me in my tracks, any ideas?
Have you tried using the pip installer, or installing using the Anaconda navigator? To install using pip, after creating the virtual environment, open a terminal console, and type
source activate [name of virtual environment]
pip install numpy
pip install matplotlib
pip install pandas
Pip is included in the base anaconda installation, so this should work. If your Anaconda installation included the Anaconda Navigator, you can also install these modules through the GUI, by opening the Anaconda Navigator, clicking on the environments tab, selecting the virtual environment, searching for module in the search bar (make sure you select All and not Installed in the dropdown menu next to it), and then selecting the desired modules and clicking the apply button (this is an example).
I'm trying to understand why the easy_install of pyicu works and pip install doesn't (see below). also trying to understand "What is the difference between a PyPi project with a universal wheel and one without?" Will installs be "easier?". If so, will this merge request solve the problem of polyglot not installing on an Anaconda machine?
Need help/advice/solutions on how to best resolve python project install issue that is tied to underlying dependencies. I have two local fixes in GitHub Gists but would like to know the best way to have this fix "out there" so people like me can find it. What is the normal Python Community approach? The problem centers around three projects:
polyglot - a python multilingual NLP toolkit
pyicu - Python extension wrapping IBM's International Components for Unicode C++ library (ICU).
pycld2 - CLD (Compact Language Detection) library as maintained by Dick Sites
The goal:
Install polyglot on a MacOSX computer running Python Anaconda Distribution
Make the fix I found available to everyone; lots of issues published about the problem.
Here's the error trace:
The Problem (Lots of them):
Core polyglot dependency, pyicu, does not properly install when you use pip install. Discovered you must use easy_install for it build properly and work on MacOSX. If you don't use the easy_install, you get:
polyglot requires icu 54.1.1 to run in Anaconda, but...
Homebrew, the MacOSX tool to install icu, only installs version 58.1. That version is too new. Old stackoverflows advise brew install icu4c to fix problem, but Homebrew evolution makes that advice obsolete now.
pyicu does not have a universal wheel; but I created a merge request to add one to pyicu. Only way to fix this is with this channel's icu, https://anaconda.org/ccordoba12/icu. conda install icu will not work, but that's the normal conda way of doing things.
*pycld2 - CLD (Compact Language Detection) becomes a problem because after I build the wheel file locally, have to download the project and run setup.py install locally. There has to be a better way to do this right?
What I've Done to Solve the problem (should I do more, what should I do next?)
Created two Gists that can successfully install polyglot on a Mac running Anaconda for Python 2.7 or Python 3.5
Python 2.7 fix
Python 3.5 fix
created the merge request for pyicu
Both Gist fixes work. But, is this error in install tied to the wheel? If I installed pyicu with easy_install, the install works. But, with pip, it doesn't?
What are the steps to take in the Python community to fix it so people can find the solution or just pip install with no problems?
I did a test, and if the wheel file is built, the pip works with no issues.
I have an existing PyQt5/Python3.4 application that works great, and would now like to add "real-time" data graphing to it. Since matplotlib installation specifically looks for Python 3.2, and NumPhy / ipython each have there own Python version requirements, I thought I'd use a python distribution to avoid confusion.
But out of all the distros (pythonxy, winpython, canopy epd) Anaconda is the only one that supports Python 3.4, however it only has PyQt 4.10.4. Is there a way I can install Anaconda, and use matplotlib from within my existing PyQt5 gui app?
Would I be better off just using another charting package (pyqtgraph, pyqwt, guiqwt, chaco, etc) that might work out of the box with PyQt5/Python3.4?
I was able to install it from dsdale24's and asmeurer's channels but then, when trying to run a qt script with a QApplication object, I got an error message regarding to cocoa library not being found.
Then, following asmeurer's comment, I could install PyQt5 on anaconda with python 3.4 using the mmcauliffe package:
conda install -c https://conda.anaconda.org/mmcauliffe pyqt5
Now it works great!
We are working on adding pyqt5, but for now, you can install it from https://binstar.org/dsdale24/pyqt5.
conda config --add channels dsdale24
conda install pyqt5
create an env like this:
conda create –name my_env python=3.5 pyqt=5
works great.
I use Anaconda and with Python v2.7.X and qt5 doesn't work. The work-around I found was
Tools -> Preferences -> Python console -> External modules -> Library: PySlide
I have started to use PyCharm IDE, but I was not able to determine how to manage external libraries there. For instance, PyCharm does not see matplotlib. In PyCharm's file manager, I clearly see the list of external libraries and there is no matplotlib. However, I have it installed and I know its location.
How can I add this library to PyCharm environment?
I suggest to use Python virtual environment. It is really easy with PyCharm.
PyCharm > Preferences... > Project Interpreter > Python Interpreters
Click "Create Virtual Environment" and pick your base interpreter.
Click "Install" and install any packages you need. You can also add other repositories if the default ones do not contain required libraries. Another benefit is that you can see which libraries have newer version and can be updated.
I think one way to solve a problem is to specify your interpreter in PyCharm itself via File -> Settings -> Python Interpreters
There is also a Paths tab in this setting, you need to add path to your matplotlib explicitly there. But for me there is no special path listed there. Here are my paths in this tab:
file://D:/hg_work/vefw_regression/tools/python/DLLs
file://D:/hg_work/vefw_regression/tools/python/Lib
file://D:/hg_work/vefw_regression/tools/python/Lib/lib-tk
file://D:/hg_work/vefw_regression/tools/python
file://D:/hg_work/vefw_regression/tools/python/Lib/site-packages (my matplotlib/numpy and other stuff is here)
file://D:/hg_work/vefw_regression/tools/python/Lib/site-packages/win32
file://D:/hg_work/vefw_regression/tools/python/Lib/site-packages/win32/lib
file://D:/hg_work/vefw_regression/tools/python/Lib/site-packages/pythonwin
file://D:/Users/svecovs/AppData/Roaming/JetBrains/PyCharm Community Edition 3.0.1/helpers/python-skeletons
file://D:/hg_work/vefw_regression/tools/python/Lib/site-packages/core (added by user)
Install matplotlib and then python-tk.Pycharm will function well.It's working for me at Ubuntu 16.04.
sudo apt-get install python-tk
sudo apt-get install python-matplotlib
For Linux Users here is a solution ,
firstly write this command in the terminal ,
sudo apt-get install python-matplotlib
Now you're done you will be able to see matplotlib in File>>>settings>>project interpreter.
Image
Solve this problem by choosing system interpretator.