def __call__(self, x): # the units of x is not checked
y = array(x) - self.xmin
ind = array(y * self.invdx, dtype=int)
try:
if is_dimensionless(x): # could be a problem if it is a Quantity with units=1
return self.f[ind] + self.df[ind] * (y - array(ind) * self.dx)
else:
return array(self.f[ind] + self.df[ind] * (y - array(ind) * self.dx)) * self.unit
except IndexError: # out of bounds
return NaN * self.unit
def __call__(self, x): # the units of x is not checked
y = array(x) - self.xmin
ind = array(y * self.invdx, dtype=int)
try:
if is_dimensionless(
x): # could be a problem if it is a Quantity with units=1
return self.f[ind] + self.df[ind] * (y - array(ind) * self.dx)
else:
return array(self.f[ind] + self.df[ind] *
(y - array(ind) * self.dx)) * self.unit
except IndexError: # out of bounds
return NaN * self.unit
def __init__(self, f, xmin, xmax, n):
self.xmin = xmin
self.xmax = xmax
self.dx = (xmax - xmin) / float(n - 1)
self.invdx = 1 / self.dx
# Not at midpoints here
x = xmin + arange(n) * self.dx
self.unit = get_unit(f(xmin))
try:
self.f = f(x)
except:
# If it fails we try passing the values one by one
self.f = zeros(n) * f(xmin) # for the unit
for i in xrange(n):
self.f[i] = f(x[i])
self.f = array(self.f)
self.df = (self.f[range(1, n)] - self.f[range(n - 1)]) * float(self.invdx)
def __init__(self, f, xmin, xmax, n):
self.xmin = xmin
self.xmax = xmax
self.dx = (xmax - xmin) / float(n - 1)
self.invdx = 1 / self.dx
# Not at midpoints here
x = xmin + arange(n) * self.dx
self.unit = get_unit(f(xmin))
try:
self.f = f(x)
except:
# If it fails we try passing the values one by one
self.f = zeros(n) * f(xmin) # for the unit
for i in xrange(n):
self.f[i] = f(x[i])
self.f = array(self.f)
self.df = (self.f[range(1, n)] - self.f[range(n - 1)]) * float(
self.invdx)
def __call__(self, x):
try: # possible problem if x is an array and an array is wanted
return self.f[array((array(x) - self.xmin) * self.invdx, dtype=int)]
except IndexError: # out of bounds
return NaN * self.unit
def __call__(self, x):
try: # possible problem if x is an array and an array is wanted
return self.f[array((array(x) - self.xmin) * self.invdx,
dtype=int)]
except IndexError: # out of bounds
return NaN * self.unit
