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[alaia woods <question706106@xxxxxxxxxxxxxxxxxxxxx>]

Question #706106 on Yade changed:
https://answers.launchpad.net/yade/+question/706106

alaia woods posted a new comment:
To plot the results from a file and compare them with DEM (Discrete
Element Method) simulations in real-time, you can follow these steps:

Load the data from your file: You'll need to determine the format of
your data file (e.g., CSV, TXT) and use appropriate libraries or
functions to read the data into your program. For example<a
href="https://laptopspapa.com/";>,</a> if you're using Python, you can
use libraries like NumPy or Pandas to load and manipulate the data.

Prepare the data for comparison: Depending on the structure of your
data, you may need to preprocess or reformat it to align with the DEM
simulation data. This may involve organizing the data into appropriate
variables or arrays.

Plot the data: Utilize a plotting library such as Matplotlib or Plotly
to visualize the loaded data. These libraries provide a range of
functions and customization options for creating plots, such as line
plots, scatter plots, or 3D plots. You can plot the loaded data
alongside the DEM simulation results to compare them in real-time.

Update the plot in real-time: If you want to continuously compare the
loaded data with the evolving DEM simulation, you'll need to update the
plot dynamically. This can be achieved by periodically loading new data
from the file and updating the plot accordingly. You may need to
incorporate a loop or an event-driven approach to enable real-time
updates

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