def appendHeader(self, dtype, nelem, ncomp):
""" This function only writes the size of the data block that will be appended.
The data itself must be written immediately after calling this function.
PARAMETERS:
dtype: string with data type representation (same as numpy). For example, 'float64'
nelem: number of elements.
ncomp: number of components, 1 (=scalar) or 3 (=vector).
"""
self.openAppendedData()
dsize = np_to_vtk[dtype].size
block_size = dsize * ncomp * nelem
if self.largeFile == False:
writeBlockSize(self.xml.stream, block_size)
else:
writeBlockSize64Bit(self.xml.stream, block_size)
def appendHeader(self, dtype, nelem, ncomp):
""" This function only writes the size of the data block that will be appended.
The data itself must be written immediately after calling this function.
PARAMETERS:
dtype: string with data type representation (same as numpy). For example, 'float64'
nelem: number of elements.
ncomp: number of components, 1 (=scalar) or 3 (=vector).
"""
self.openAppendedData()
dsize = np_to_vtk[dtype].size
block_size = dsize * ncomp * nelem
if self.largeFile == False:
writeBlockSize(self.xml.stream, block_size)
else:
writeBlockSize64Bit(self.xml.stream, block_size)
def appendData(self, data):
""" Append data to binary section.
This function writes the header section and the data to the binary file.
PARAMETERS:
data: one numpy array or a tuple with 3 numpy arrays. If a tuple, the individual
arrays must represent the components of a vector field.
All arrays must be one dimensional or three-dimensional.
The order of the arrays must coincide with the numbering scheme of the grid.
RETURNS:
This VtkFile to allow chained calls
TODO: Extend this function to accept contiguous C order arrays.
"""
self.openAppendedData()
if type(data).__name__ == 'tuple': # 3 numpy arrays
ncomp = len(data)
assert (ncomp == 3)
dsize = data[0].dtype.itemsize
nelem = data[0].size
block_size = ncomp * nelem * dsize
#if self.largeFile == False:
writeBlockSize(self.xml.stream, block_size)
#else:
# writeBlockSize64Bit(self.xml.stream, block_size)
x, y, z = data[0], data[1], data[2]
writeArraysToFile(self.xml.stream, x, y, z)
elif type(data).__name__ == 'ndarray' and (data.ndim == 1 or data.ndim == 3): # single numpy array
ncomp = 1
dsize = data.dtype.itemsize
nelem = data.size
block_size = ncomp * nelem * dsize
#if self.largeFile == False:
writeBlockSize(self.xml.stream, block_size)
#else:
# writeBlockSize64Bit(self.xml.stream, block_size)
writeArrayToFile(self.xml.stream, data)
else:
assert False
return self
def appendData(self, data):
""" Append data to binary section.
This function writes the header section and the data to the binary file.
PARAMETERS:
data: one numpy array or a tuple with 3 numpy arrays. If a tuple, the individual
arrays must represent the components of a vector field.
All arrays must be one dimensional or three-dimensional.
The order of the arrays must coincide with the numbering scheme of the grid.
RETURNS:
This VtkFile to allow chained calls
TODO: Extend this function to accept contiguous C order arrays.
"""
self.openAppendedData()
if type(data).__name__ == 'tuple': # 3 numpy arrays
ncomp = len(data)
assert (ncomp == 3)
dsize = data[0].dtype.itemsize
nelem = data[0].size
block_size = ncomp * nelem * dsize
#if self.largeFile == False:
writeBlockSize(self.xml.stream, block_size)
#else:
# writeBlockSize64Bit(self.xml.stream, block_size)
x, y, z = data[0], data[1], data[2]
writeArraysToFile(self.xml.stream, x, y, z)
elif type(data).__name__ == 'ndarray' and (data.ndim == 1 or data.ndim == 3): # single numpy array
ncomp = 1
dsize = data.dtype.itemsize
nelem = data.size
block_size = ncomp * nelem * dsize
#if self.largeFile == False:
writeBlockSize(self.xml.stream, block_size)
#else:
# writeBlockSize64Bit(self.xml.stream, block_size)
writeArrayToFile(self.xml.stream, data)
else:
assert False
return self
