ScienceFrontend aims to improve the front-end user experience for command-line-interface (CLI) scientific scripts. Scientific CLI scripts often require a number of dependencies and can be difficult for users unfamiliar with CLI. The goal of ScienceFrontend is to provide a simple, uniform front-end experience while also eliminating end-user software dependencies (besides having a web browser). Naturally, ScienceFrontend is open-source.
Edward Kim eddotman
eddotman
/ contour_plot.py
Last active
December 16, 2015 11:29
Example of a contour plotting function with a test data set
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| import matplotlib.pyplot as plt | |
| from numpy import * | |
| def draw_contour (data, xlabel, ylabel): | |
| plt.xlabel(xlabel) | |
| plt.ylabel(ylabel) | |
| plt.contourf(data) #use plt.contour() for non-filled contours; plt.contourf() for filled | |
| plt.show() | |
| def run_test(): #plots a 'checkerboard' in 2D |
eddotman
/ sciencefrontend_planning.md
Last active
December 16, 2015 11:19
ScienceFrontend Planning Doc
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