skuschel

def readpng(filename, hotpixelremove=False):
    '''
    Reads a png file and returns appropriate count vales, even if a bit depth
    other than 8 or 16 is used. An example this might be needed is having a
    12-bit png recorded from a 12-bit camera using LabViews IMAQ toolset.
    In this case the PIL (python image library) fails to retrieve the
    original count values. 
    '''
    import png  # pypng
    import scipy.misc as sm

skuschel

{
 "metadata": {
  "name": "",
  "signature": "sha256:47fd176dfa0c93311b89f99a57b966e98062a2e958745ba99fd68a4f7f94ed68"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [

skuschel

#!/usr/bin/env python2

import numpy as np
import timeit

datax = np.random.random(50e6)
datay = np.random.random(50e6)

print 'creating histogram'
hist, edx, edy = np.histogram2d(datax, datay, bins=[700,700])

skuschel

#!/usr/bin/env python2

# argparse demo with multiple arguments. Try the following

# python2 argparsedemo.py xx yy --optional 5 6 7

if __name__ == '__main__':
    import argparse
    
    parser = argparse.ArgumentParser()

skuschel

#!/usr/bin/env python3

#Stephan Kuschel, 2014

import timeit

s='''
import numpy as np
a = np.random.random(int(5e7))
b = np.random.random(int(5e7))

skuschel

skuschel

#!/bin/env python

# Stephan Kuschel, 2016

def f(x):
    return x + y

if __name__=='__main__':
    y = 2
    print(f(5))

skuschel

def addcolorbar(ax, im, pos='right', size='5%', pad=0.05, orientation='vertical',
                stub=False, max_ticks=None, label=None):
    '''
    add a colorbar to a matplotlib image.
    
    ax -- the axis object the image is drawn in
    im -- the image (return value of ax.imshow(...))
    
    When changed, please update:
    https://gist.github.com/skuschel/85f0645bd6e37509164510290435a85a

skuschel

skuschel