henryroe

from scene import *
from math import exp
from threading import Thread
import datetime

# example scrolling scene with inertial scrolling
# basic scrolling example was by Dalorbi on the forums at:
#    http://omz-software.com/pythonista/forums/discussion/213/scrolling-in-scene-module/p1
# inertial scrolling added on by hroe

henryroe

--
-- OCR all documents in a folder
--
set theFolder to (choose folder with prompt "Choose Folder to OCR every PDF in")
ocr_this_folder(theFolder)

on ocr_pdf(PDFfilename)
	tell application "PDFpenPro 6"
		open PDFfilename
		set theDoc to document 1

henryroe

--
-- OCR all documents in a folder and all sub-folders
--
set theFolder to (choose folder with prompt "Choose Folder to OCR every PDF in recursively descending")
ocr_this_folder(theFolder)

on ocr_pdf(PDFfilename)
	tell application "PDFpenPro 6"
		open PDFfilename
		set theDoc to document 1

henryroe

# Install this file in:
#   ~/Library/Application Scripts/com.smileonmymac.PDFpenPro6.MacAppStore/
# and it will then be accessible from the Applescript menu in PDFpenPro 6

tell application "PDFpenPro 6"
	if (count documents) > 0 then
		set myDoc to document 1
		set pageCount to count pages of myDoc
		repeat with pageNumber from 1 to pageCount
			if (height of page pageNumber of myDoc) > (width of page pageNumber of myDoc) then

henryroe

#!/bin/bash

output=""
numDisplaySets=`/usr/libexec/PlistBuddy -c "Print DisplaySets" /Library/Preferences/com.apple.windowserver.plist | grep -E '^    Array' | wc -l`
for (( curDisplaySetNum=0; curDisplaySetNum<$numDisplaySets; curDisplaySetNum++ ))
do
    echo "DisplaySet "$curDisplaySetNum
    curDisplayNum=0
    notdone=1
    while [[ "$notdone" -ne 0 ]]

henryroe

(*
Copy and paste this script into a new document in AppleScript Editor.

When saving, select "Script Bundle" as File Type.

Save the file to:  "~/Library/Script Libraries/Access NSScreen.scptd"
    Note:  you may need to create the directory:  "~/Library/Script Libraries"
    Note:  while this gist has the file ending "scpt", by selecting the 
           "Script Bundle" file type, the file extension "scptd" should be added.
    

henryroe

import pandas
import numpy as np
awards = pandas.read_csv("awards_dump_2014-06-20.csv",
                         parse_dates=['StartDate', 'LastAmendmentDate', 'ExpirationDate', 
                                      'AwardedAmountToDate'],
                         converters={'AwardedAmountToDate': lambda x: 
                                     float(x.replace('$', '').replace(',', ''))},
                         dtype={'AwardedAmountToDate':np.float64})
awards['DurationYears'] = ((awards['ExpirationDate'] - awards['StartDate']) / 
                           (365.25 * np.timedelta64(1, 'D')))

henryroe

max_award_per_year = 3e5  # above this amount just bin in to top bin
years_per_bin = 1.0 
award_bin_size = 10000
start_year = np.array([a.year + (a.month - 1)/12. for a in awards['StartDate']])
year_bins = np.arange(np.floor(start_year.min()), np.ceil(start_year.max())+1, years_per_bin)
awarded_per_year = np.array(awards['AwardedAmountToDate']/awards['DurationYears'])
awarded_per_year_mean_per_bin = np.zeros(year_bins.size - 1)
awarded_per_year_median_per_bin = np.zeros(year_bins.size - 1)
year_per_bin = np.zeros(year_bins.size - 1)
for i in np.arange(year_bins.size - 1):

henryroe

max_award = 1e6  # above this amount just bin in to top bin
years_per_bin = 1.0 
award_bin_size = 50000
start_year = np.array([a.year + (a.month - 1)/12. for a in awards['StartDate']])
year_bins = np.arange(np.floor(start_year.min()), np.ceil(start_year.max())+1, years_per_bin)
awarded = np.array(awards['AwardedAmountToDate'])
awarded_mean_per_bin = np.zeros(year_bins.size - 1)
awarded_median_per_bin = np.zeros(year_bins.size - 1)
year_per_bin = np.zeros(year_bins.size - 1)
for i in np.arange(year_bins.size - 1):

henryroe

import wx

import matplotlib
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib.image import AxesImage
from matplotlib.axes import Axes
from matplotlib.widgets import AxesWidget
import matplotlib.pyplot as plt