ZGainsforth

# Created 2015, Zack Gainsforth
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import struct
from numpy.fft import fft, fftfreq

def LoadSPAInterferogram(FileName):

    # Open the SPA file.

ZGainsforth

import sys
from PyQt4 import QtGui
from mainwindow import Ui_MainWindow

class Main(QtGui.QMainWindow):
    def __init__(self):
        QtGui.QMainWindow.__init__(self)
        self.ui = Ui_MainWindow()
        self.ui.setupUi(self)

if __name__ == '__main__':
    app = QtGui.QApplication(sys.argv)
    window = Main()
    window.show()
    sys.exit(app.exec_())


ZGainsforth

# Created 2015, Zack Gainsforth
import matplotlib.pyplot as plt
import numpy as np
from skimage import filters
from skimage.transform import resize
import os, sys
import warnings
with warnings.catch_warnings():
    warnings.simplefilter("ignore")
    import tifffile as tif

ZGainsforth

# Call this just before plt.show()

def raise_window(figname=None):
    if figname: plt.figure(figname)
    cfm = plt.get_current_fig_manager()
    cfm.window.activateWindow()
    cfm.window.raise_()

ZGainsforth

from matplotlib import pyplot
import ternary
import numpy as np

## Boundary and Gridlines
scale = 100
figure, tax = ternary.figure(scale=scale)

# Draw Boundary and Gridlines
tax.boundary(linewidth=2.0)

ZGainsforth

%pylab
import tifffile
import glob

f = glob.glob(‘*.tsv’)

for x in f:
    n = genfromtxt(x).astype('float32')
    tifffile.imsave(x+'.tif', n)

ZGainsforth

# Created 2016, Zack Gainsforth
from __future__ import division
import matplotlib
#matplotlib.use('Qt4Agg')
import matplotlib.pyplot as plt
import numpy as np

def CBEDThicknessMeasure(lam, d0, r0, dr):

# CBEDThicknessMeasure(lam, d0, r0, dr]

ZGainsforth

setBackgroundColor(0, 0, 0);
run("Clear Outside");
run("Inverse FFT");
run("Bin...", "x=16 y=16 bin=Max");
run("Enhance Contrast", "saturated=0.35");

ZGainsforth

from __future__ import division

__author__ = 'Zack Gainsforth'
__copyright__ = 'Copyright 2016, Zack Gainsforth'
__email__ = '[email protected]'

#numpy.set_printoptions(threshold=numpy.nan) # Makes arrays print fully when they are large.
from collections import OrderedDict

# Planck's constant [eV-s]

ZGainsforth

import matplotlib
import matplotlib.pyplot as plt
from numpy import *
import pickle

def ShowLastPosSingleFig(plt):
    # Call plt.show but pickles the plot position on window close.  When called a second time
    # it loads the figure to the last position.  So matplotlib now remembers figure positions!
    # This version works for QT and WX backends.