I'm using colab for doing my projects. Right now I have a problem pyvistaqt, I'm not sure if that python package can use on colab, because I already installed but at the moment to run:
plot_sensors_connectivity(epoch.info, con[:,:,0])
appear the following error:
QtDeprecationError: BackgroundPlotter has moved to pyvistaqt.
You can install this from PyPI with: pip install pyvistaqt
See https://github.com/pyvista/pyvistaqt
As far as I know, you can't display a pyqt widget within a jupyterlab environment, so anything you're trying to do right now using Qt should be avoided. My guess is that plot_sensors_connectivity uses pyvista.BackgroundPlotter, and instead should just use pyvista.Plotter.
Related
I'm now trying to run qiskit visualization functions(e.g. .draw() methods) in vscode.
I use latest version of Python, 3.11.1, and followed Getting Started Qiskit in here.
Also I installed qiskit extension in vscode.
However, when I run a qiskit code, the visualization functions don't work, even though code is compiled successfully.
I checked visualizing modules(mathplotlib, etc.) were installed.
I tried to re-install Python and vscode, including downgrading Python to 3.8. And it didn't work.
Additionally, qiskit-chemistry and qiskit-aqua installation warnings are pop-upped, but installation doesn't work.
I really don't know it is related on this problem, but I think maybe it's not since qiskit-aqua is deprecated.
The following screenshot is result of the qiskit test code.
result of running
draw() and plot_histogram() doesn't work as you can see.
How can I fix this problem?
These functions are meant to be used in Python Notebooks - they won't show up in normal .py files. Try using VSCode's Jupyter Notebook (.ipynb files) feature instead.
Currently I am working on a project with Jupyter Notebook in which I need to run a matlab script (.m) which includes a function that provides me with data which i try to solve with a tensorflow model afterwards. I can set up an environment that runs the matlab code an gives me the data and I can set up an environment that does the tensorflow thing but my problem is I can`t do it in the same environment.
Here is the setup and the problems. I am using matlab.engine which I installed like described here: https://de.mathworks.com/help/matlab/matlab_external/install-the-matlab-engine-for-python.html
To run my Jupyter Notebook I first navigate to the location where my python.exe and the matlab files are lying ("C:\Users\Philipp\AppData\Local\Programs\Python\Python37-32\Scripts"). If I try to run pip install tensorflow (in Anaconda Prompt) I got a lot of different errors like the following. Conda install works but even when it is installed i can`t import it.
ImportError: No module named 'tensorflow.core' or
ERROR: Could not find a version that satisfies the requirement tensorflow or just No module named 'tensorflow'
I searched for all those problems but nothing helped me. I think this has something to do with the directory I am working in and I know it is bad but I have no idea how to change that. The error also occurs in different environments.
Have you tried running !pip install tensorflow directly in Jupyter Notebook? It's a temporary workaround, but I am having the same problems and this one helped. Remember to comment it out after installation, so you wont re-run it by accident.
I found a solution to my problem. For this I needed a Jupyter Notebook and an external .py script that I design as a Flask. I can luckily run those in different environments. I past and request the data from the server by using "get" and "post".
If someone still has another idea to do all this in one JN, I would still be happy about answers.
I was trying to use the package called LUX for Python. I followed this tutorial. So it was pretty simple, I just had to import some csv and when I called my data, I would be able to see multiple graphs. The problem is that I do everything and nothing shows up for me.
I was using Melbourne House Market data, and this is my script so far:
# firstly, we install package and extensions
!pip install lux-api
!jupyter nbextension install --py luxwidget
!jupyter nbextension enable --py luxwidget
# then, load the packages
import lux
import pandas as pd
# load data
melb_data = pd.read_csv("melb_data.csv")
So far so good... at least, I thought so. After doing these things, when we see the tutorial mentioned in the begining of this question, it mentions that if we call the dataframe now, instead of appearing only the dataset, we would be able to see some graphics as well. But that didn't happen to me. I know screenshots are not the best choice, but this is what I see:
As you can see, there is the Toggle button, but it is only working to hide the table. there isn't the graphs I saw in the tutorial. I also tried to follow this tutorial as well, but there isn't anything new there.
Any ideas on what I'm missing here? Why I can't find a way to make this package work?
It seems that you have not installed the JuypterLab extension. It is described in the README file that you linked, here. You will need to execute the following two commands:
jupyter labextension install #jupyter-widgets/jupyterlab-manager
jupyter labextension install luxwidget
and then restart JupyterLab. The prerequisite here is having a JupyterLab 2.x or 3.x and Node.js installed (while many extensions for JupyterLab 3.x do not require node.js any longer, this one still does - as it seems).
Trying to access the todoist api, and I copied some code from the api documentation. However, on my system I get an error stating:
Unable to import 'todoist.api'pylint(import-error).
I installed it with:
pip install todoist-python
as mentioned in the documentation
from todoist.api import TodoistAPI
I get my error on the very first line. How do I not get this?
You did everything right, so it's probably related to the way your installation is set.
Be sure you are using the same python you used to install the library. Check if the library is installed (pip list) and check if you're using the right Python when running the code. It's possible that the library was installed in one version and you're using the other.
I had the same problem, I solved it by following the GitHub instructions, but the name of the module to install using pip is todoist.
I'm using Python 3.5 and I was trying to download and use Pillow 4.0.0. I got it through Conda, and it shows in its package menu, as well as the module list in Pycharm. However, even when I have the project interpreter set to anaconda, it will not recognize Pillow at all. I've also given it some time to scan through everything, to see if that would work.
Invalidating the caches and restarting would work. If you want to refresh the Pycharm cache, try going to the far left of PyCharm, and choose [File|Invalidate Caches/Restart...]