PYTHON: Rewrite interpolations.
Signed-off-by: Grzegorz Kowal <grzegorz@amuncode.org>
This commit is contained in:
parent
d714974b33
commit
e153cd417e
@ -22,14 +22,10 @@
|
||||
|
||||
================================================================================
|
||||
|
||||
module: AMUN
|
||||
module: INTERPOLATION
|
||||
|
||||
Python module with subroutines to read AMUN code HDF5 files.
|
||||
|
||||
The only requirements for this package are:
|
||||
|
||||
- numpy
|
||||
- scipy (optional, for data interpolation)
|
||||
Support module for Amun snapshots for the block prolongation with different
|
||||
types of interpolation.
|
||||
|
||||
--------------------------------------------------------------------------------
|
||||
"""
|
||||
@ -52,67 +48,44 @@ def rebin(a, newshape):
|
||||
m = a.ndim - 1
|
||||
if (a.shape[m] > newshape[m]):
|
||||
if a.ndim == 3:
|
||||
nn = [newshape[0], int(a.shape[0] / newshape[0]),
|
||||
newshape[1], int(a.shape[1] / newshape[1]),
|
||||
newshape[2], int(a.shape[2] / newshape[2])]
|
||||
nn = [newshape[0], a.shape[0] // newshape[0], \
|
||||
newshape[1], a.shape[1] // newshape[1], \
|
||||
newshape[2], a.shape[2] // newshape[2]]
|
||||
return a.reshape(nn).mean(5).mean(3).mean(1)
|
||||
else:
|
||||
nn = [newshape[0], int(a.shape[0] / newshape[0]),
|
||||
newshape[1], int(a.shape[1] / newshape[1])]
|
||||
nn = [newshape[0], a.shape[0] // newshape[0], \
|
||||
newshape[1], a.shape[1] // newshape[1]]
|
||||
return a.reshape(nn).mean(3).mean(1)
|
||||
else:
|
||||
for n in range(a.ndim):
|
||||
a = np.repeat(a, int(newshape[n] / a.shape[n]), axis=n)
|
||||
a = np.repeat(a, newshape[n] // a.shape[n], axis=n)
|
||||
return(a)
|
||||
|
||||
|
||||
def interpolate(a, newshape, nghosts, method='rebin', order=3):
|
||||
def interpolate(a, newshape, nghosts=0, method=None, order=1):
|
||||
'''
|
||||
Subroutine rescales the block by interpolating its values.
|
||||
'''
|
||||
if (method == 'rebin' or not scipy_available):
|
||||
if method == None or method == 'rebin' or not scipy_available:
|
||||
|
||||
# calculate the indices in order to remove the ghost zones
|
||||
#
|
||||
ng = nghosts
|
||||
if a.ndim == 3:
|
||||
ib = nghosts
|
||||
jb = nghosts
|
||||
kb = nghosts
|
||||
ie = a.shape[2] - nghosts
|
||||
je = a.shape[1] - nghosts
|
||||
ke = a.shape[0] - nghosts
|
||||
if (a.shape[0] == 1):
|
||||
kb = 0
|
||||
ke = 1
|
||||
|
||||
return rebin(a[kb:ke,jb:je,ib:ie], newshape)
|
||||
return rebin(a[ng:-ng,ng:-ng,ng:-ng], newshape)
|
||||
else:
|
||||
ib = nghosts
|
||||
jb = nghosts
|
||||
ie = a.shape[1] - nghosts
|
||||
je = a.shape[0] - nghosts
|
||||
return rebin(a[ng:-ng,ng:-ng], newshape)
|
||||
|
||||
return rebin(a[jb:je,ib:ie], newshape)
|
||||
elif method == 'zoom':
|
||||
|
||||
elif (method == 'zoom'):
|
||||
|
||||
fc = int(newshape[1] / (a.shape[1] - 2 * nghosts))
|
||||
ib, ie = fc * nghosts, - fc * nghosts
|
||||
jb, je = fc * nghosts, - fc * nghosts
|
||||
zf = (newshape[1] // (a.shape[1] - 2 * nghosts))
|
||||
ng = zf * nghosts
|
||||
if a.ndim == 3:
|
||||
kb, ke = fc * nghosts, - fc * nghosts
|
||||
if (a.shape[0] == 1):
|
||||
kb = 0
|
||||
ke = 1
|
||||
|
||||
return zoom(a, fc, order=order, grid_mode=True, mode='nearest')[kb:ke,jb:je,ib:ie]
|
||||
return zoom(a, zf, order=order, grid_mode=True, mode='nearest')[ng:-ng,ng:-ng,ng:-ng]
|
||||
else:
|
||||
return zoom(a, fc, order=order, grid_mode=True, mode='nearest')[jb:je,ib:ie]
|
||||
return zoom(a, zf, order=order, grid_mode=True, mode='nearest')[ng:-ng,ng:-ng]
|
||||
|
||||
elif (method == 'monotonic' or method == 'pchip'):
|
||||
elif method in [ 'monotonic', 'pchip' ]:
|
||||
|
||||
dims = np.arange(a.ndim)
|
||||
|
||||
q = a
|
||||
|
||||
for n in dims:
|
||||
@ -125,9 +98,9 @@ def interpolate(a, newshape, nghosts, method='rebin', order=3):
|
||||
xo = (np.arange(0.5, a.shape[n]) - nghosts) / (a.shape[n] - 2 * nghosts)
|
||||
xn = np.arange(0.5, newshape[n]) / newshape[n]
|
||||
|
||||
u = q.reshape([d[0], int(q.size / d[0])])
|
||||
f = np.zeros([newshape[n], int(q.size / d[0])])
|
||||
for i in range(int(q.size / d[0])):
|
||||
u = q.reshape([d[0], q.size // d[0]])
|
||||
f = np.zeros([newshape[n], q.size // d[0]])
|
||||
for i in range(q.size // d[0]):
|
||||
f[:,i] = pchip_interpolate(xo, u[:,i], xn)
|
||||
|
||||
d[0] = newshape[n]
|
||||
@ -137,10 +110,9 @@ def interpolate(a, newshape, nghosts, method='rebin', order=3):
|
||||
|
||||
return q
|
||||
|
||||
elif (method == 'spline'):
|
||||
elif method == 'spline':
|
||||
|
||||
dims = np.arange(a.ndim)
|
||||
|
||||
q = a
|
||||
|
||||
for n in dims:
|
||||
@ -153,9 +125,9 @@ def interpolate(a, newshape, nghosts, method='rebin', order=3):
|
||||
xo = (np.arange(0.5, a.shape[n]) - nghosts) / (a.shape[n] - 2 * nghosts)
|
||||
xn = np.arange(0.5, newshape[n]) / newshape[n]
|
||||
|
||||
u = q.reshape([d[0], int(q.size / d[0])])
|
||||
f = np.zeros([newshape[n], int(q.size / d[0])])
|
||||
for i in range(int(q.size / d[0])):
|
||||
u = q.reshape([d[0], q.size // d[0]])
|
||||
f = np.zeros([newshape[n], q.size // d[0]])
|
||||
for i in range(q.size // d[0]):
|
||||
t = splrep(xo, u[:,i], k=5, s=0.0)
|
||||
f[:,i] = splev(xn, t)
|
||||
|
||||
@ -169,7 +141,6 @@ def interpolate(a, newshape, nghosts, method='rebin', order=3):
|
||||
else:
|
||||
|
||||
dims = np.arange(a.ndim)
|
||||
|
||||
q = a
|
||||
|
||||
for n in dims:
|
||||
@ -182,9 +153,9 @@ def interpolate(a, newshape, nghosts, method='rebin', order=3):
|
||||
xo = (np.arange(0.5, a.shape[n]) - nghosts) / (a.shape[n] - 2 * nghosts)
|
||||
xn = np.arange(0.5, newshape[n]) / newshape[n]
|
||||
|
||||
u = q.reshape([d[0], int(q.size / d[0])])
|
||||
f = np.zeros([newshape[n], int(q.size / d[0])])
|
||||
for i in range(int(q.size / d[0])):
|
||||
u = q.reshape([d[0], q.size // d[0]])
|
||||
f = np.zeros([newshape[n], q.size // d[0]])
|
||||
for i in range(q.size // d[0]):
|
||||
t = interp1d(xo, u[:,i], kind=method)
|
||||
f[:,i] = t(xn)
|
||||
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user