Darren Jaworski darrenjaworski

## markup.html
<a href="" class="toggle"><span class="top"></span><span class="middle"></span><span class="bottom"></span></a>

## gist:b7766e23165320aff417
UPDATE wp_posts SET ping_status='closed' WHERE post_status = 'publish' AND post_type = 'post';
UPDATE wp_posts SET ping_status='closed' WHERE post_status = 'publish' AND post_type = 'page';

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
    <style>
        .schooldistrict {
            fill: #eee;
            stroke: #777;
        }

        .schooldistrict:hover {
            fill: steelblue;

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
    <style>
        .lake {
            fill: steelblue;;
        }
        .river {
            fill: none;
            stroke: #777;
        }

## 2014-1.csv
01C019105
01C022105
01C024105
01C028105
01C029105
01C032105
01I004105
01I004705
01I011105
01I011205

## pdftotxt.py
import subprocess
import glob

for file in glob.glob("afgradespdfs/*.pdf"):
    cmd = 'pdftotext -enc UTF-8 -layout %s' % (file)
    run = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
    out, err = run.communicate()

    # display errors if they occur
    if err:

## txttocsv.py
import csv
import glob

def lineParse(line):
    return lines[line].strip()

def lineSpliceParse(line, start, stop):
    return str(lines[line].strip()[start:stop]).strip()

high = []

## readme.md

      
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                darrenjaworski
                / readme.md
            
            
              Last active
              August 29, 2015 14:07
            
              
                txt to csv - OU payroll 2013
              
          
    pdftotext -enc UTF-8 -layout payroll2013.pdf
requires pdftotext from poppler
and this txt file

  
## quakes.csv

          
            year
            Magnitude-1
            Magnitude-2
            Magnitude-3
            Magnitude-4

            
              2000
              8
              9
              1
              0

            
              2001
              16
              14
              0
              0

            
              2002
              22
              17
              3
              0

            
              2003
              22
              25
              0
              0

            
              2004
              30
              32
              2
              0

            
              2005
              12
              7
              2
              0

            
              2006
              6
              12
              3
              0

            
              2007
              5
              23
              1
              0

            
              2008
              2
              20
              2
              0

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
    <style>
        .schooldistrict {
            stroke: #000;
        }

        .schooldistrictv1, .schooldistrictv2 {
            opacity: .5;
        }
	UPDATE wp_posts SET ping_status='closed' WHERE post_status = 'publish' AND post_type = 'post';
	UPDATE wp_posts SET ping_status='closed' WHERE post_status = 'publish' AND post_type = 'page';
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>
	.schooldistrict {
	fill: #eee;
	stroke: #777;
	}

	.schooldistrict:hover {
	fill: steelblue;
	01C019105
	01C022105
	01C024105
	01C028105
	01C029105
	01C032105
	01I004105
	01I004705
	01I011105
	01I011205
	import subprocess
	import glob

	for file in glob.glob("afgradespdfs/*.pdf"):
	cmd = 'pdftotext -enc UTF-8 -layout %s' % (file)
	run = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
	out, err = run.communicate()

	# display errors if they occur
	if err:
	import csv
	import glob

	def lineParse(line):
	return lines[line].strip()

	def lineSpliceParse(line, start, stop):
	return str(lines[line].strip()[start:stop]).strip()

	high = []
year	Magnitude-1	Magnitude-2	Magnitude-3	Magnitude-4
2000	8	9	1	0
2001	16	14	0	0
2002	22	17	3	0
2003	22	25	0	0
2004	30	32	2	0
2005	12	7	2	0
2006	6	12	3	0
2007	5	23	1	0
2008	2	20	2	0