https://github.com/JLRipley314/sci-vis

Basic scientific visualization routines in python
https://github.com/JLRipley314/sci-vis

Last synced: 3 months ago
JSON representation

Basic scientific visualization routines in python

• Host: GitHub
• URL: https://github.com/JLRipley314/sci-vis
• Owner: JLRipley314
• License: mit
• Created: 2020-05-02T19:13:36.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2023-02-21T00:24:50.000Z (over 1 year ago)
• Last Synced: 2024-07-04T00:59:43.901Z (4 months ago)
• Language: Python
• Homepage:
• Size: 43 KB
• Stars: 4
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Scientific visualization functions

Routines to visualize 1D and 2D time dependent data from either

hdf5 or csv. 

[Alex Pandya](https://github.com/aapandy2)

wrote an earlier version of this software for

visualizing 1 dimensional time dependent data.

The scripts `plotters/plotter_1d.py` and `plotters/plotter_2d.py` 

will render 1d and 2d data, respectively.

Currently they are configured to either other .h5 of .csv

data. 

If you are using this code, it is likely because you

are making use of another code that writes data in a format

these scripts can read in. 

For example, for .csv files the file format is that

each row (for 1D data) is

[time],[nx],[data]

where [time] is the time value for that array,

[nx] is the number of data points, and [data] is

the comma sepearted values of the data saved at that time. 

## Dependencies

* numpy

* h5py

* pyqtgraph

## Further information

For questions please email ripley[at]illinois[dot]edu