skuschel

skuschel

[log]
	decorate = true
	showSignature = true
[diff]
	renames = copy
[alias]
	lg = log --graph --no-show-signature \
        --format='%C(auto)%h%d%Creset %s%Cgreen(%cr) %C(bold blue)<%an>%Creset'
	ls = ls-files -t
	fa = fetch --all

skuschel

import functools
import requests
from io import StringIO
from bs4 import BeautifulSoup
from urllib.parse import urljoin

# Henke

def atomicformfactor_henke(element):
    element = element.lower()

skuschel

#!/usr/bin/python3

# Stephan Kuschel, May 2019

import matplotlib.pyplot as plt
import numpy as np

def addcolorbar(ax, im, pos='right', size='5%', pad=0.05, orientation='vertical',
                stub=False, max_ticks=None, label=None):
    '''

skuschel

#!/bin/bash

# Stephan Kuschel, 2019

# Works the regex grabbing the printers requires works if computer is set to german. Change sed cmd
# accordingly if this is not the case.

lpstat -s | grep null | sed 's#Gerät für \(.*\): ///dev/null#\1#' | xargs -n1 lpadmin -x

skuschel

def findsinglephotons(image, thresupper, threslower, maxsize=2):
    '''
    identifies single photons in the image and returns the for each photon the integrated counts on the image
    
    * a photon need to be above the thresupper in order to be found
    * surrounding regions of a photon will be added as long as they are above the threslower value
    * maxsize=2 controlls over how many pixels a photon may spread
    
    Stephan Kuschel, 2019
    https://gist.github.com/skuschel/4823d53067263507a04c07ff7f84255f

skuschel

def pcov(data, I=None, corrcoef=False, rowvar=True):
    '''
    Partial covariance
    
    Stephan Kuschel, 2019
    https://gist.github.com/skuschel/9cd745c4b47ad579481b1ade6115250a
    '''
    import numpy as np
    if I is None:
        I = np.mean(data, axis=0 if rowvar else 1)

skuschel

skuschel

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