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The easiest is if you put both in the same folder and make that folder a python directory from which you can import your other code as modules. All you need for that is a file in the folder containing a blank __init__.py file. Then you can import it to another code file in the same folder using

from folder_name import Imagens

and you should be able to use Imagens functions like any other module

Ex: Imagens.first()

A frame is a containter in tkinter, it shares the ability of carring widgets with windows (Tk), like your root Window or for additional windows Toplevel.

What you have done so far is to set the master argument to root in each of your widgets. For exampel:

As mentioned in cvxpy' install section, before using pip install you need to have 'Visual Studio build tools for Python 3' installed.

This is exactly the error you get: error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/

I haven't tested this but try adding the following statement after line_items = line.split('\t')

The code is run twice because you are in debug mode. Set debug=False, and it should execute only once.

I succeeded to install getfem++ and pyvista on the Rpi4 (without conda).

I posted my method at the end of this github discussion

Hope it'll help you!

A brief list of steps I took (with details at the linked discussion):

1. installed Ubuntu 20.04 to get Python 3.8.6.
2. install python3-getfem++ with apt
3. build vtk from source because there are no wheels for the arm64 architecture that's used by Rpi4
4. install PyVista with the --no-dependencies switch to work with dependencies installed manually
5. install PyVista's other dependencies manually (using a PC and pip installing pyvista into a fresh virtualenv can help gather the dependencies, if one doesn't want to go looking in PyVista's setup.py for dependencies)
6. install packages (especially xvfb) to get a virtual framebuffer for plotting.

Your app seems to be running as it should. You just have to set the variables in order to make flask-sqlalchemy work.

You have mispelled SQLALCHEMY_DATABASE_URI. So your code would actually be:

XlsxWriter doesn't write arbitrary data types so the __repr__ in your class is ignored.

If you want to write user defined types you will need to use the Xlsxwriter add_write_handler() mechanism. See the XlsxWriter documentation on Writing user defined types. It has a detailed explanation and several examples.

Also note, you should first verify that you can get Excel to display the data in the way you want it. You will need to add a textwrap format as a minimum.

Update. Here is a small working example based on your code:

There is the iframe. You need to switch to it.