jsundram

import matplotlib.pyplot as plt
import numpy as np
column_labels = list('ABCD')
row_labels = list('WXYZ')
data = np.random.rand(4,4)
fig, ax = plt.subplots()
heatmap = ax.pcolor(data, cmap=plt.cm.Blues)

# put the major ticks at the middle of each cell
ax.set_xticks(np.arange(data.shape[0])+0.5, minor=False)

jsundram

import numpy

def running():
    numbers = []
    while True:
        try:
            i = input("Enter Number: ")
            numbers.append(i)
            print "Current median: %s" % (numpy.median(numbers))
            print "Current average: %s" % (numpy.average(numbers))

jsundram

import datetime
import random
import matplotlib; matplotlib.use('cairo')
import matplotlib.pyplot as plt
from matplotlib.dates import DayLocator, MonthLocator, DateFormatter, date2num

"""
Minimal(ish) repro for the x-axis label alignment bug

Collecting info suggested here: http://matplotlib.org/faq/troubleshooting_faq.html

jsundram

from nodebox.graphics import *
from numpy.random import randint # random.randint is v. slow
import numpy

MINS, MAXS = 1, 40
grow = False
box_size = MAXS
counter = 1

# Use a numpy array of pixels because pic.get is too slow.

jsundram

import math
def estimate_segments(radius, segment_length=0.25): 
    """ Basically want segments that are about the size of .25 pixel for the given radius. 
        Derive as follows:
            segment_length as a function of theta: 
                segment_length = (1 - cos(theta)) * radius 
        Solving for theta given segment_length:
                theta = math.acos(1 - (float(segment_length) / radius))
    """
    

jsundram

import matplotlib, sys
backend = sys.argv[1]
matplotlib.use(backend) # need to call use() before importing pyplot

from matplotlib.pyplot import *

text(0.1, 0.5, "Top Tj", verticalalignment="top")
text(0.2, 0.5, "Bottom Tj", verticalalignment="bottom")
text(0.3, 0.5, "Base Tj", verticalalignment="baseline")
text(0.4, 0.5, "Center Tj", verticalalignment="center")

jsundram

This code allows you to open up an image file and replace its pixels with stars as you move the mouse over the screen. Useful, right?

1. Download and unzip gist from https://gist.github.com/jsundram/5441782/download
2. Navigate to folder you unzipped this code to in Terminal
3. chmod +x install.sh
4. ./install.sh (this will take a while)
5. python starry.py "filename.jpg" from the command line. Press Ctrl-S to save.

jsundram

// code taken from here: 
// http://www.analogpixel.org/blog/2011/09/13/msced-148-boxy-lady-take-2/#more-764
// and formatted for readability.
// then ported to pjs, and optimized/tweaked a bit
// NEW: added gif.js
PImage pic;
PGraphics pg;
boolean grow = false;
int MINS = 1;
int MAXS = 40;

jsundram

from nodebox.graphics import *
from random import randint 
import os
 
MINS, MAXS = 1, 40
grow = False
box_size = MAXS
counter = 1
output_dir = '/Users/%s/Downloads/nb/' % os.getlogin()

jsundram

from glob import glob
import numpy as np
import os
import sys

# You'll need scikit-image and PIL installed to use this
try:
    import skimage.io
except ImportError:
    sys.exit("please 'pip install scikit-image' to use this script")