| # WWF | |
| # WWF | |
| # Read about these projects: | |
| # https://twistedsifter.com/2019/10/populations-of-endangered-species-depicted-by-the-number-of-pixels/ | |
| # https://mymodernmet.com/endangered-species-pixelated-photos-jjsmooth44/ | |
| # Bonobo: approx 10000 remain | |
| # the squareroot of 10000 is 100 | |
| # width is 600, so sample the image every 6 pixels |
| # EX09 _ textual analysis of Jane Austen's book "Emma" | |
| # questions | |
| # + How many words are in the novel? | |
| # + what's the longest word? the shortest word? the average word length? | |
| # + what are the top 100 words by count? | |
| from collections import Counter | |
| # get the remote file | |
| import urllib.request |
| license: gpl-3.0 |
| 0.2 | 1.4 | 5.1 | 3.5 | Iris-setosa | |
|---|---|---|---|---|---|
| 0.2 | 1.4 | 4.9 | 3 | Iris-setosa | |
| 0.2 | 1.3 | 4.7 | 3.2 | Iris-setosa | |
| 0.2 | 1.5 | 4.6 | 3.1 | Iris-setosa | |
| 0.2 | 1.4 | 5 | 3.6 | Iris-setosa | |
| 0.4 | 1.7 | 5.4 | 3.9 | Iris-setosa | |
| 0.3 | 1.4 | 4.6 | 3.4 | Iris-setosa | |
| 0.2 | 1.5 | 5 | 3.4 | Iris-setosa | |
| 0.2 | 1.4 | 4.4 | 2.9 | Iris-setosa | |
| 0.1 | 1.5 | 4.9 | 3.1 | Iris-setosa |
| h = 4 | |
| A = [] | |
| B = [] | |
| C = [] | |
| for i in range(1,h+1): | |
| A.append(i) | |
| A.reverse() | |
| towers = {"A":A,"B":B,"C":C} |
| size(400,400) | |
| # white background | |
| background(255) | |
| textAlign(CENTER, CENTER) | |
| i=0 | |
| chunk=40 | |
| # use range to specify the start, end, and chunk for each loop | |
| # some inspiration from Shiffman | |
| for y in range(0,height,chunk): |
| size(400,400) | |
| # white background | |
| background(255) | |
| textAlign(CENTER, CENTER) | |
| # Extremely tedious sequence... | |
| fill(100) | |
| rect(0,0, 40,40) | |
| fill(255) |
| from random import randrange | |
| size(600,600) | |
| background(255) | |
| strokeWeight(2) | |
| rowheight = height/7 | |
| colwidth = width/6 | |
| for y in range(0,height+rowheight,rowheight): |
This project is like the one on page 32 of your new book, "Hands-On Image Processing with Python".
The following code block shows how to start from one face image and end up with another image by using a linear combination of the two image numpy ndarrays.
