thomasaarholt

# See below for use

def get_individual_model_components(m):
    """
    Exports the signals from the individual components present in the model
    Returns a list of signals, from the current position in the model.
    """
    def get_A(component):
        return component.A.value
    def set_A(component, value):

thomasaarholt

def rotate90(sample):
	from ase.build import rotate as rot
	a1 = (1,0,0)
	a2 = (0,0,1)
	b1 = (0,0,1)
	b2 = (1,0,0)
	rot(sample, a1, a2, b1, b2, rotate_cell=False)
	sample.cell[0,0], sample.cell[2,2] = sample.cell[2,2], sample.cell[0,0]

thomasaarholt

def prism(file, path=None, focus=0, FP=20, alpha=20.0e-3):
    import gc
    gc.collect()
    import os
    import pyprismatic as pr
    file = os.path.abspath(file)
    
    save_path = path
    path, filename = os.path.split(file)
    name, _ = os.path.splitext(filename)

thomasaarholt

mylist = [20, 30, 1, 3, 50]

thomasaarholt

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-1-bcff7cee2750> in <module>()
      1 get_ipython().run_line_magic('matplotlib', 'notebook')
      2 import hyperspy.api as hs
----> 3 hs.preferences.gui()

c:\users\me\documents\github\hyperspy\hyperspy\ui_registry.py in pg(self, display, toolkit, **kwargs)
    172     def pg(self, display=True, toolkit=None, **kwargs):
    173         return get_gui(self, toolkey=toolkey, display=display,

thomasaarholt

import ipywidgets as widgets

import os
from pathlib import Path
cwd = Path(os.getcwd())

FOLDERLABEL = '-------FOLDERS-------'
FILESLABEL = '-------FILES-------'

def get_folder_contents(folder):

thomasaarholt

  File "D:\Anaconda\envs\py36\lib\runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "D:\Anaconda\envs\py36\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "D:\Anaconda\envs\py36\lib\site-packages\ipykernel_launcher.py", line 16, in <module>
    app.launch_new_instance()
  File "D:\Anaconda\envs\py36\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance
    app.start()
  File "D:\Anaconda\envs\py36\lib\site-packages\ipykernel\kernelapp.py", line 486, in start
    self.io_loop.start()

thomasaarholt

string = 'a*x**r+b*x+c'
expression = sympy.sympify(string)
expr = hs.model.components1D.Expression(string, 'test')


data = np.random.random((5,300))
s = hs.signals.Signal1D(data)
m = s.create_model()
m.append(expr)

thomasaarholt

def plot_im(s, ax=None, scalebar=True, label=True, clim=None, cmap=None, cbar=True, loc=4, axislabel=False, colorbar_format="scientific", colorbar_decimals=1, dont_show=False, **kwargs):
    """
    Plots the HS image nicely with a scalebar. Label can be modified or turned off.
    Use dont_show=True to not show a plot, but still return it.
    Returns:
    fig - the figure
    ax  - the axes
    im  - the image data
    """
    import matplotlib.pyplot as plt

thomasaarholt

def linear_regression(y, comp_data):
    '''
    Performs linear regression on single pixels as well 
    as multidimensional arrays

    Parameters
    ----------
    y : array_like, shape: (signal_axis) or (nav_shape, signal_axis)
        The data to be fit to
    comp_data : array_like, shape: (number_of_comp, signal_axis)