def stretch(array, function, exponent=2, midpoint=None):
if function == 'linear':
return array
elif function == 'log':
if not m.isnumeric(midpoint):
midpoint = 0.05
return np.log10(array/midpoint+1.) / np.log10(1./midpoint+1.)
elif function == 'sqrt':
return np.sqrt(array)
elif function == 'arcsinh':
if not m.isnumeric(midpoint):
midpoint = -0.033
return np.arcsinh(array/midpoint) / np.arcsinh(1./midpoint)
elif function == 'power':
return np.power(array, exponent)
else:
raise Exception("Unknown function : " + function)
def stretch(array, function, exponent=2, midpoint=None):
if function is 'linear':
return array
elif function is 'log':
if not m.isnumeric(midpoint):
midpoint = 0.05
return np.log10(array/midpoint+1.) / np.log10(1./midpoint+1.)
elif function is 'sqrt':
return np.sqrt(array)
elif function is 'arcsinh':
if not m.isnumeric(midpoint):
midpoint = -0.033
return np.arcsinh(array/midpoint) / np.arcsinh(1./midpoint)
elif function is 'power':
return np.power(array, exponent)
else:
raise Exception("Unknown function : " + function)
def __call__(self, x_new):
ipos = np.searchsorted(self.x, x_new)
if m.isnumeric(x_new):
if ipos == 0:
ipos = 1
if ipos == len(self.x):
ipos = len(self.x)-1
else:
ipos[ipos == 0] = 1
ipos[ipos == len(self.x)] = len(self.x)-1
ipos = ipos - 1
return (x_new - self.x[ipos]) * self.dy[ipos] + self.y[ipos]
def __call__(self, x_new):
ipos = np.searchsorted(self.x, x_new)
if m.isnumeric(x_new):
if ipos == 0:
ipos = 1
if ipos == len(self.x):
ipos = len(self.x)-1
else:
ipos[ipos == 0] = 1
ipos[ipos == len(self.x)] = len(self.x)-1
ipos = ipos - 1
return (x_new - self.x[ipos]) * self.dy[ipos] + self.y[ipos]