Python scripting processing examples:
Take XY data, and return XY data - convert data to noise
import numpy as np
def run(xaxis, data, **kwargs):
#generate random noise the same shape as the data
noise = np.random.rand(*data.shape)
#add it to the output dictionary
script_outputs = {"data":noise}
#also return the x-axis
script_outputs["xaxis"] = xaxis
return script_outputs
Take an image (with axes) and return an image (with axes)
import numpy as np
def run(xaxis,yaxis, data, **kwargs):
#generate random noise the same shape as the data
noise = np.random.rand(*data.shape)
#add it to the output dictionary
script_outputs = {"data":noise}
#also return the x-axis
script_outputs["xaxis"] = xaxis
#and the y-axis
script_outputs["yaxis"] = yaxis
return script_outputs