ZGainsforth

from matplotlib import *
use('Qt4Agg')
from matplotlib.pyplot import *
from numpy import *

def PlotRFFT(x, y):
    ### PlotRFFT(x, y): plots the FFT of y assuming y is real.  Generates one plot with two subfigures: abscissa = frequency and abscissa = period.

    f = fft.rfft(y)/len(y)*2
    nu = fft.rfftfreq(len(y), x[1]-x[0])

ZGainsforth

# Script to sync Pythonista files to Dropbox
# Author: David Hutchison
# www: http://www.devwithimagination.com/
import webbrowser, os, pprint
import dropbox
import hashlib
import json
import difflib
import sys

ZGainsforth

# Without having to worry about all the hassle of starting a wx app or remembering flags, just
# show a dialog box to get a directory, file or messagebox and be done with it.
# Zack Gainsforth 2014
import wx

if 'app' not in locals():
    app = wx.App(None)

def DirDialog(DefaultDir='', Title='Select Directory:'):
    dlg = wx.DirDialog (None, Title, DefaultDir, wx.DD_DEFAULT_STYLE | wx.DD_DIR_MUST_EXIST)

ZGainsforth

import threading
import os

# Normally this would be some busier function...  Here it is a stub.
def PlotAlphaMELTS(PathName):
    print PathName

# How many threads we want.
NumThreads = 10
# Counter for the thread in the loop.

ZGainsforth

import os

# Go to the directory where the alphaMELTS input files are.
os.chdir('/Users/Zack/Desktop/Testcmd')

# Run the shell script.
process = subprocess.Popen('./runit', shell=True)
process.wait()

print 'done'

ZGainsforth

# Script to sync Pythonista files to Dropbox
# Author: David Hutchison
# www: http://www.devwithimagination.com/
import webbrowser, os, pprint
import dropbox
import hashlib
import json
import difflib
import sys

ZGainsforth

def Marry2ColumnDomains(x1, y1, x2, y2):
    #Based on: http://stackoverflow.com/questions/24317761/numpy-function-to-find-indices-for-overlapping-vectors?noredirect=1#comment37587212_24317761
    mask1 = np.in1d(x1, x2)
    mask2 = np.in1d(x2, x1)
    xx1 = x1[mask1]
    yy1 = y1[mask1]
    xx2 = x2[mask2]
    yy2 = y2[mask2]

    return xx1, yy1, xx2, yy2

ZGainsforth

# implicit from numpy import *

def fullprint(*args, **kwargs):
    from pprint import pprint
    opt = get_printoptions()
    set_printoptions(threshold='nan')
    pprint(*args, **kwargs)
    set_printoptions(**opt)

ZGainsforth

def cyfib(int n):
    cdef int a, b, i
    a,b = 1,1
    for i in range(n):
        a,b = a+b, a
    return a

ZGainsforth

def myfunc(x):
    x = x*3
    return x

import timeit
n = 100000
print timeit.timeit(stmt='myfunc(5)', setup='from __main__ import myfunc', number=n)/n