Hello Python Italia community,




I've recently started working with Python on my Ubuntu system and experienced an issue with library installations via pip. I've received errors indicating permission denied on all package installs even with sudo permissions on the command. I've also tried upgrading python and pip to see if that would help as well as upgrading setuptools. I know I have the latest version, which was listed as a requirement for that package to install.




I'm not exactly sure if this is a permission issue with my python environment or from my system configuration. I am also currently enrolled in a Salesforce Developer Course and trying to manage my local environment for both Python and Salesforce development. Has anyone else experienced issues installing libraries with an Ubuntu system and what were your steps to resolve? Would it be beneficial to create a virtual environment to avoid permission issues?




Any advice on fixing this or tips for managing python environments in Ubuntu would be greatly appreciated.




Thanks in advance!

Best,

williamclark

Good evening! It's great that you're enjoying using Matplotlib. To add markers at specific points on your curve and display the corresponding values, you can use the plt.scatter()function to plot the markers at the desired points. Then, to annotate those points with their values, you can use plt.annotate(). Here's an example:

import matplotlib.pyplot as plt
import numpy as np

# Sample data
x = np.linspace(0, 10, 100)
y = np.sin(x)

# Plotting the curve
plt.plot(x, y)

# Mark specific points (e.g., at x=2, x=5, and x=
markers_x = [2, 5, 8]
markers_y = np.sin(np.array(markers_x))

# Add markers
plt.scatter(markers_x, markers_y, color='red')

# Annotate the points
for (i, j) in zip(markers_x, markers_y):
plt.annotate(f'({i}, {j:.2f})', (i, j), textcoords="offset points", xytext=(0,5), ha='center')

plt.show()

This will plot your curve with red markers at the specified points and display the corresponding values ​​as annotations.

It appears that the problem you're facing is dependency-related, with snap7.dll and HID libraries. When you run your Python script through PyInstaller to convert it into an executable, it bundles your code but in some cases does not include all required dynamic libraries or dependencies automatically. This can result in problems if running the .exe on another machine, particularly if such libraries are not installed in the same location or are not being bundled properly. To avoid this, ensure that the necessary DLL files (such as snap7.dll) and any dependencies are specifically mentioned in the PyInstaller spec file or are stored in the same directory as the executable. Also, make sure that the system of the customer has the same version of Python and required libraries installed. You may also consider looking at the PyInstaller documentation for how you can include such external libraries at build time.





--- Ultima modifica di williamclark in data 2025-05-07 07:28:26 ---