davidbjourno

{
  "config": {"view": {"continuousWidth": 400, "continuousHeight": 300}},
  "layer": [
    {
      "data": {"name": "data-1a9dea4ba8b8849e4235562cc245ac37"},
      "mark": {"type": "rect", "opacity": 0.5},
      "encoding": {
        "color": {
          "field": "ann_diff",
          "legend": {"direction": "horizontal"},

davidbjourno

Batch OCR PDFs

In PDFs directory:

1. Replace additional . in filenames with _: zmv '(*.*)(.*)' '${1//./_}$2
2. mkdir jpg && mkdir txt
3. mogrify -format jpg -density 200 -quality 100 -alpha off -path jpg/ -verbose *.pdf
4. for file in jpg/*.jpg; do tesseract $file ${file%%.*}; done
5. mv jpg/*.txt txt/

davidbjourno

Keybase proof

I hereby claim:

• I am davidbjourno on github.
• I am davidcblood (https://keybase.io/davidcblood) on keybase.
• I have a public key ASCPqRS7wa5cMJ2azRpOL_K3y9ol3xK2Hql06eCzm58T-go

To claim this, I am signing this object:

davidbjourno

{"nodes":[{"name":"US"},{"name":"JP"},{"name":"DE"},{"name":"GB"},{"name":"FR"},{"name":"IT"},{"name":"CA"},{"name":"G7"},{"name":"CN"},{"name":"HK"},{"name":"MY"},{"name":"VN"},{"name":"IN"},{"name":"TW"},{"name":"ID"},{"name":"TR"},{"name":"TH"},{"name":"Asia Other"},{"name":"NL"},{"name":"Europe Other"},{"name":"Americas Other"},{"name":"Africa Other"},{"name":"Oceania Other"}],"links":[{"source":"CA","target":"Africa Other","value_h1_17":113.932,"value_h1_18":48.166},{"source":"CA","target":"Americas Other","value_h1_17":55.823,"value_h1_18":39.946},{"source":"CA","target":"Asia Other","value_h1_17":176.256,"value_h1_18":1266.557},{"source":"CA","target":"CN","value_h1_17":20398.059,"value_h1_18":874.396},{"source":"CA","target":"Europe Other","value_h1_17":540.634,"value_h1_18":258.634},{"source":"CA","target":"G7","value_h1_17":56895.946,"value_h1_18":57902.149},{"source":"CA","target":"HK","value_h1_17":17859.425,"value_h1_18":2566.798},{"source":"CA","target":"ID","value_h1_17":null,"value_h1_18":346.

davidbjourno

from osgeo import ogr

# Open shapefile and count features
source = ogr.Open('building-means.shp', update=True)
layer = source.GetLayer()
features_count = layer.GetFeatureCount()

# Create new field
new_field = ogr.FieldDefn('mean_rnd', ogr.OFTReal) # Define new floating-point field

davidbjourno

Load, join and filter with Python/pandas

import pandas as pd

df_results = pd.read_csv(
    'data/raw/EU-referendum-result-data.csv',
    index_col='Area_Code')
df_aps = pd.read_csv(
    'data/raw/2395818381.csv',
    index_col='mnemonic',

davidbjourno

wget --mirror \
  --convert-links \
  --adjust-extension \
  --page-requisites \
  --wait=2 \
  -U Mozilla \
  https://my-url.com/

davidbjourno

var deadline = 1577836800000; // 00:00:00, January 1, 2020
var display = document.querySelector('#countdown');

function formatTime (milliseconds) {
  var seconds = (milliseconds / 1000).toFixed(0);
  var minutes = Math.floor(seconds / 60);
  var hours = '';

  seconds = Math.floor(seconds % 60);

davidbjourno

.mov to GIF

1. ffmpeg -i movie.mov -vf palettegen palette.png
2. ffmpeg -i movie.mov -i palette.png -lavfi scale=1920:-1,paletteuse=bayer_scale=[0,5]:dither=bayer -r 24 movie.gif

davidbjourno

$(document).ready(function() {
  var documentHeight = $(document).height(),
      windowHeight = $(window).height(),
      scrollPercent;

  $(window).scroll(function() {
    scrollPercent = ($(window).scrollTop()) / (documentHeight - windowHeight) * 100;

    $(".progress-bar").width(scrollPercent + "%");
  });