Created
May 29, 2014 14:32
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Dan's Homework
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# -*- coding: utf-8 -*- | |
# <nbformat>3.0</nbformat> | |
# <markdowncell> | |
# basically, want to parse a file, load values in it into a dictionary (name, x, y, z, r, g, b), and scatter lot them, with labels based on RGB color | |
# <codecell> | |
%matplotlib inline | |
import matplotlib | |
import matplotlib.pyplot as plt | |
from mpl_toolkits.mplot3d.axes3d import Axes3D | |
import numpy as np | |
from numpy import random as npr | |
from collections import namedtuple | |
import string, random | |
from operator import attrgetter | |
DataPoint = namedtuple("DataPoint",['name','x','y','z','r','g','b']) | |
def genranddata(): | |
chars = 'abcdefghijklmnopqrstuvwxyz' | |
name = ''.join(random.choice(chars) for _ in range(4)) | |
x,y,z,r,g,b = [ npr.uniform() for _ in range(6)] | |
return DataPoint(name,x,y,z,r,g,b) | |
data = [genranddata() for _ in range(10)] | |
# <codecell> | |
f = plt.figure(figsize(14,14)) | |
ax = f.add_subplot(1,1,1,projection='3d') | |
x,y,z,cols = [],[],[],[] | |
for d in data: | |
x.append(d.x) | |
y.append(d.y) | |
z.append(d.z) | |
cols.append((d.r,d.g,d.b,1.0)) | |
ax.scatter(x,y,z, s=10, c=cols, marker='o') | |
# <codecell> |
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