本文整理匯總了Python中PyMca5.PyMcaIO.ArraySave.getHDF5FileInstanceAndBuffer方法的典型用法代碼示例。如果您正苦於以下問題：Python ArraySave.getHDF5FileInstanceAndBuffer方法的具體用法？Python ArraySave.getHDF5FileInstanceAndBuffer怎麽用？Python ArraySave.getHDF5FileInstanceAndBuffer使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類PyMca5.PyMcaIO.ArraySave的用法示例。
在下文中一共展示了ArraySave.getHDF5FileInstanceAndBuffer方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: loadFileList
# 需要導入模塊: from PyMca5.PyMcaIO import ArraySave [as 別名]
# 或者: from PyMca5.PyMcaIO.ArraySave import getHDF5FileInstanceAndBuffer [as 別名]
#.........這裏部分代碼省略.........
('PySide' in sys.modules) or\
('PyMca5.PyMcaGui.PyMcaQt' in sys.modules):
qtflag = True
hdf5done = False
if HDF5 and qtflag:
from PyMca5.PyMcaGui import PyMcaQt as qt
from PyMca5.PyMcaIO import ArraySave
msg=qt.QMessageBox.information( None,
"Memory error\n",
"Do you want to convert your data to HDF5?\n",
qt.QMessageBox.Yes,qt.QMessageBox.No)
if msg != qt.QMessageBox.No:
hdf5file = qt.QFileDialog.getSaveFileName(None,
"Please select output file name",
os.path.dirname(filelist[0]),
"HDF5 files *.h5")
if not len(hdf5file):
raise IOError("Invalid output file")
hdf5file = qt.safe_str(hdf5file)
if not hdf5file.endswith(".h5"):
hdf5file += ".h5"
#get the final shape
from PyMca5.RGBCorrelatorWidget import ImageShapeDialog
stackImageShape = self.nbFiles,\
int(numberofmca/numberofdetectors)
dialog = ImageShapeDialog(None, shape =stackImageShape)
dialog.setModal(True)
ret = dialog.exec_()
if ret:
stackImageShape= dialog.getImageShape()
dialog.close()
del dialog
hdf, self.data = ArraySave.getHDF5FileInstanceAndBuffer(hdf5file,
(stackImageShape[0],
stackImageShape[1],
arrRet.shape[0]),
compression=None,
interpretation="spectrum")
nRow = 0
nCol = 0
for tempFileName in filelist:
tempInstance=specfile.Specfile(tempFileName)
#it can only be here if there is one scan per file
#prevent problems if the scan number is different
#scan = tempInstance.select(keylist[-1])
scan = tempInstance[-1]
nRow = int(self.incrProgressBar/stackImageShape[1])
nCol = self.incrProgressBar%stackImageShape[1]
for i in iterlist:
#mcadata = scan_obj.mca(i)
self.data[nRow,
nCol,
:] = scan.mca(i)[:]
self.incrProgressBar += 1
self.onProgress(self.incrProgressBar)
hdf5done = True
hdf.flush()
self.onEnd()
self.info["SourceType"] = "HDF5Stack1D"
self.info["McaIndex"] = 2
self.info["FileIndex"] = 0
self.info["SourceName"] = [hdf5file]
self.info["NumberOfFiles"] = 1
self.info["Size"] = 1
return