# -*- coding: utf-8 -*-
########### SVN repository information ###################
# $Date: 2023-05-11 18:08:12 -0500 (Thu, 11 May 2023) $
# $Author: toby $
# $Revision: 5577 $
# $URL: https://subversion.xray.aps.anl.gov/pyGSAS/trunk/imports/G2img_EDF.py $
# $Id: G2img_EDF.py 5577 2023-05-11 23:08:12Z toby $
########### SVN repository information ###################
'''
'''
from __future__ import division, print_function
import os
import numpy as np
import GSASIIobj as G2obj
import GSASIIpath
GSASIIpath.SetVersionNumber("$Revision: 5577 $")
[docs]
class EDF_ReaderClass(G2obj.ImportImage):
'''Routine to read a Read European detector data .edf file.
This is a particularly nice standard.
'''
def __init__(self):
super(self.__class__,self).__init__( # fancy way to self-reference
extensionlist=('.edf',),
strictExtension=True,
formatName = 'EDF image',
longFormatName = 'European Data Format image file'
)
[docs]
def ContentsValidator(self, filename):
'''no test used at this time
'''
return True
def Reader(self,filename,filepointer, ParentFrame=None, **unused):
self.Comments,self.Data,self.Npix,self.Image = GetEdfData(filename)
if self.Npix == 0 or not self.Comments:
return False
self.LoadImage(ParentFrame,filename)
return True
[docs]
def GetEdfData(filename,imageOnly=False):
'Read European detector data edf file'
if not imageOnly:
print ('Read European detector data edf file: '+filename)
File = open(filename,'rb')
fileSize = os.stat(filename).st_size
head = File.read(3072).decode(encoding='latin-1')
lines = head.split('\n')
sizexy = [0,0]
pixSize = [154,154] #Pixium4700?
cent = [0,0]
wave = 1.54187 #default <CuKa>
dist = 1000.
head = ['European detector data',]
for line in lines:
line = line.replace(';',' ').strip()
fields = line.split()
if 'Dim_1' in line:
sizexy[0] = int(fields[2])
elif 'Dim_2' in line:
sizexy[1] = int(fields[2])
elif 'DataType' in line:
dType = fields[2]
elif 'wavelength' in line:
wave = float(fields[2])
elif 'Size' in line:
imSize = int(fields[2])
# elif 'DataType' in lines:
# dType = fields[2]
elif 'pixel_size_x' in line:
pixSize[0] = float(fields[2])
elif 'pixel_size_y' in line:
pixSize[1] = float(fields[2])
elif 'beam_center_x' in line:
cent[0] = float(fields[2])
elif 'beam_center_y' in line:
cent[1] = float(fields[2])
elif 'refined_distance' in line:
dist = float(fields[2])
if line:
head.append(line)
else: #blank line at end of header
break
File.seek(fileSize-imSize)
if dType == 'UnsignedShort':
image = np.array(np.frombuffer(File.read(imSize),dtype=np.int16),dtype=np.int32)
else:
image = np.array(np.frombuffer(File.read(imSize),dtype=np.int32),dtype=np.int32)
image = np.reshape(image,(sizexy[1],sizexy[0]))
data = {'pixelSize':pixSize,'wavelength':wave,'distance':dist,'center':cent,'size':sizexy}
Npix = sizexy[0]*sizexy[1]
File.close()
if imageOnly:
return image
else:
return head,data,Npix,image