DerivGrapher takes an image with an arbitrary graph as an input and returns derivative of the graph.
It utilizes pixels of the image and np.diff to get a reasonable gauge of the function's derivative. There is a presence of a slight noise within the image due to lack of precision with pixel computations.
from graphDerivative import GDerivative
# Create a derivative of the graph
graphed = GDerivative('images/graph.png')
# Show the graph with matplotlib
graphed.showGraph()
# Save the graph
graphed.saveGraph('images/graph.png')Example output given x^2 graph as input
(Derivative should be approx similar to graph of 2x)
