thomasaarholt

'''
Python script to load any format supported by hyperspy directly into GMS
Must be copied and pasted into Gatan DigitalMicrograph (aka Gatan Microscopy Suite) version 3.4+
Call by `load_img(filepath)` at the bottom of the script. Can not be called outside of GMS.
Does not automatically convert the data type to EELS or EDS
Written by Thomas Aarholt, see https://gist.github.com/thomasaarholt/fccf06d56ff84cf76345b44dae30871e for newer versions
Feedback and forks are very welcome.
MUST: First import of hyperspy (or scipy) must NOT be run with "Execute on background thread" checked. One
can then swap to background thread and rerun.
v. 0.3: Added delete statements to ensure python objects don't stay in memory.

thomasaarholt

  GNU nano 2.5.3                                           File: /shared/users/thomasaar/.profile                                                                                             
PS1='$(pwd): '
echo 'Hello Thomas - edit PATH using "profile"'
echo "YOU ARE NOT IN HOME - YOU ARE ON SHARED"
# This is a comment
echo 'Enabling environment for pyprismatic'
export CPLUS_INCLUDE_PATH=/usr/local/cuda-10.0/include:$CPLUS_INCLUDE_PATH
export LD_LIBRARY_PATH=$HOME/fftw_gcc5_build/lib64:/usr/local/cuda-10.0/lib64:$HOME/prismatic_gcc5/lib:$LD_LIBRARY_PATH
export LIBRARY_PATH=$HOME/fftw_gcc5_build/lib64:/usr/local/cuda-10.0/lib64:$HOME/prismatic_gcc5/lib:$LIBRARY_PATH

thomasaarholt

"\e[A": history-search-backward
"\e[B": history-search-forward
"\e[C": forward-char
"\e[D": backward-char

thomasaarholt

from mpl_toolkits.axes_grid1 import make_axes_locatable

def colorbar(mappable):
    "mappable is img = plt.imshow()"
    ax = mappable.axes
    fig = ax.figure
    divider = make_axes_locatable(ax)
    cax = divider.append_axes("right", size="5%", pad=0.05)
    cax.aname = 'colorbar'
    return fig.colorbar(mappable, cax=cax)

thomasaarholt

Using Jupyter notebook remotely via a ssh tunnel.

Especially good for running on headless devices, such as supercomputers or clusters.

Remotely:

# remote_port should be value between 8888 and 9000
jupyter notebook --no-browser --port=remote_port

Locally, new terminal window

thomasaarholt

import matplotlib.pyplot as plt

def save(filepath="image.png", fig=None):
    '''Save the current image with no whitespace
    Example filepath: "myfig.png" or r"C:\myfig.pdf" 
    Based on answers from https://stackoverflow.com/questions/11837979/
    '''
    import matplotlib.pyplot as plt
    if not fig:
        fig = plt.gcf()

bencholmes

function X = forceFFTSymmetry(X)
% forceFFTSymmetry  A function to force conjugate symmetry on an FFT such that when an
% IFFT is performed the result is a real signal.

% The function has been written to replace MATLAB's ifft(X,'symmetric'), as this function
% is not compatible with MATLAB Coder.
  
% Licensed under Creative Commons Zero (CC0) so use freely.

XStartFlipped = fliplr(X(2:floor(end/2)));

wassname

"""Another way, note this one will load the whole array into memory ."""
from keras.preprocessing.image import ImageDataGenerator
import h5py
from keras.utils.io_utils import HDF5Matrix
seed=0
batch_size=32

# we create two instances with the same arguments
data_gen_args = dict( 
    rotation_range=90.,

andrewjesaitis

import matplotlib as mpl
num_colors = len(values)
cm = mpl.cm.get_cmap(name='YlGnBu_r')
currentColors = [cm(1.*i/num_colors) for i in range(num_colors)]

piscisaureus

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = git@github.com:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this: