def linear(x, y, new_x):
""" Linearly interpolates values in new_x based on the values in x and y
Parameters
----------
x
1-D array
y
1-D or 2-D array
new_x
1-D array
"""
x = atleast_1d_and_contiguous(x, np.float64)
y = atleast_1d_and_contiguous(y, np.float64)
new_x = atleast_1d_and_contiguous(new_x, np.float64)
assert len(y.shape) < 3, "function only works with 1D or 2D arrays"
if len(y.shape) == 2:
new_y = np.zeros((y.shape[0], len(new_x)), np.float64)
for i in range(len(new_y)): # for each row
_interpolate.linear_dddd(x, y[i], new_x, new_y[i])
else:
new_y = np.zeros(len(new_x), np.float64)
_interpolate.linear_dddd(x, y, new_x, new_y)
return new_y
def linear(x, y, new_x):
""" Linearly interpolates values in new_x based on the values in x and y
Parameters
----------
x
1-D array
y
1-D or 2-D array
new_x
1-D array
"""
x = atleast_1d_and_contiguous(x, np.float64)
y = atleast_1d_and_contiguous(y, np.float64)
new_x = atleast_1d_and_contiguous(new_x, np.float64)
if y.ndim > 2:
raise ValueError("`linear` only works with 1-D or 2-D arrays.")
if len(y.shape) == 2:
new_y = np.zeros((y.shape[0], len(new_x)), np.float64)
for i in range(len(new_y)): # for each row
_interpolate.linear_dddd(x, y[i], new_x, new_y[i])
else:
new_y = np.zeros(len(new_x), np.float64)
_interpolate.linear_dddd(x, y, new_x, new_y)
return new_y
def linear(x, y, new_x):
""" Linearly interpolates values in new_x based on the values in x and y
Parameters
----------
x
1-D array
y
1-D or 2-D array
new_x
1-D array
"""
x = make_array_safe(x, numpy.float64)
y = make_array_safe(y, numpy.float64)
new_x = make_array_safe(new_x, numpy.float64)
assert len(y.shape) < 3, "function only works with 1D or 2D arrays"
if len(y.shape) == 2:
new_y = numpy.zeros((y.shape[0], len(new_x)), numpy.float64)
for i in range(len(new_y)):
_interpolate.linear_dddd(x, y[i], new_x, new_y[i])
else:
new_y = numpy.zeros(len(new_x), numpy.float64)
_interpolate.linear_dddd(x, y, new_x, new_y)
return new_y
def linear(x, y, new_x):
""" Linearly interpolates values in new_x based on the values in x and y
Parameters
----------
x
1-D array
y
1-D or 2-D array
new_x
1-D array
"""
x = make_array_safe(x, numpy.float64)
y = make_array_safe(y, numpy.float64)
new_x = make_array_safe(new_x, numpy.float64)
assert len(y.shape) < 3, "function only works with 1D or 2D arrays"
if len(y.shape) == 2:
new_y = numpy.zeros((y.shape[0], len(new_x)), numpy.float64)
for i in range(len(new_y)):
_interpolate.linear_dddd(x, y[i], new_x, new_y[i])
else:
new_y = numpy.zeros(len(new_x), numpy.float64)
_interpolate.linear_dddd(x, y, new_x, new_y)
return new_y