Last active
November 3, 2017 12:30
-
-
Save andrewssobral/5f1c7388eaebdd74971366f5571ce9e4 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import os | |
import math | |
import numpy as np | |
from argparse import ArgumentParser | |
from visdom import Visdom | |
from six.moves import urllib | |
# General parameters | |
DEFAULT_VISDOM_PORT = 8097 | |
DEFAULT_VISDOM_HOST = "127.0.0.1" | |
def main(args): | |
print("Connecting to %s" % args.port) | |
viz = Visdom(server="http://"+args.host,port=args.port) | |
assert viz.check_connection() | |
# text plot | |
textwindow = viz.text('Hello World!') | |
#updatetextwindow = viz.text('Hello World! More text should be here') | |
#viz.text('And here it is', win=updatetextwindow, append=True) | |
# SVG plotting | |
#svgstr = """ | |
#<svg height="300" width="300"> | |
# <ellipse cx="80" cy="80" rx="50" ry="30" | |
# style="fill:red;stroke:purple;stroke-width:2" /> | |
# Sorry, your browser does not support inline SVG. | |
#</svg> | |
#""" | |
#viz.svg( | |
# svgstr=svgstr, | |
# opts=dict(title='Example of SVG Rendering') | |
#) | |
# boxplot | |
X = np.random.rand(100, 2) | |
X[:, 1] += 2 | |
viz.boxplot( | |
X=X, | |
opts=dict(legend=['Men', 'Women']) | |
) | |
# stemplot | |
Y = np.linspace(0, 2 * math.pi, 70) | |
X = np.column_stack((np.sin(Y), np.cos(Y))) | |
viz.stem( | |
X=X, | |
Y=Y, | |
opts=dict(legend=['Sine', 'Cosine']) | |
) | |
# quiver plot | |
X = np.arange(0, 2.1, .2) | |
Y = np.arange(0, 2.1, .2) | |
X = np.broadcast_to(np.expand_dims(X, axis=1), (len(X), len(X))) | |
Y = np.broadcast_to(np.expand_dims(Y, axis=0), (len(Y), len(Y))) | |
U = np.multiply(np.cos(X), Y) | |
V = np.multiply(np.sin(X), Y) | |
viz.quiver( | |
X=U, | |
Y=V, | |
opts=dict(normalize=0.9), | |
) | |
# pie chart | |
X = np.asarray([19, 26, 55]) | |
viz.pie( | |
X=X, | |
opts=dict(legend=['Residential', 'Non-Residential', 'Utility']) | |
) | |
# mesh plot | |
x = [0, 0, 1, 1, 0, 0, 1, 1] | |
y = [0, 1, 1, 0, 0, 1, 1, 0] | |
z = [0, 0, 0, 0, 1, 1, 1, 1] | |
X = np.c_[x, y, z] | |
i = [7, 0, 0, 0, 4, 4, 6, 6, 4, 0, 3, 2] | |
j = [3, 4, 1, 2, 5, 6, 5, 2, 0, 1, 6, 3] | |
k = [0, 7, 2, 3, 6, 7, 1, 1, 5, 5, 7, 6] | |
Y = np.c_[i, j, k] | |
viz.mesh(X=X, Y=Y, opts=dict(opacity=0.5)) | |
# contour | |
x = np.tile(np.arange(1, 101), (100, 1)) | |
y = x.transpose() | |
X = np.exp((((x - 50) ** 2) + ((y - 50) ** 2)) / -(20.0 ** 2)) | |
viz.contour(X=X, opts=dict(colormap='Viridis')) | |
# surface | |
viz.surf(X=X, opts=dict(colormap='Hot')) | |
# line plots | |
viz.line(Y=np.random.rand(10)) | |
Y = np.linspace(-5, 5, 100) | |
viz.line( | |
Y=np.column_stack((Y * Y, np.sqrt(Y + 5))), | |
X=np.column_stack((Y, Y)), | |
opts=dict(markers=False), | |
) | |
# heatmap | |
viz.heatmap( | |
X=np.outer(np.arange(1, 6), np.arange(1, 11)), | |
opts=dict( | |
columnnames=['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j'], | |
rownames=['y1', 'y2', 'y3', 'y4', 'y5'], | |
colormap='Electric', | |
) | |
) | |
# histogram | |
viz.histogram(X=np.random.rand(10000), opts=dict(numbins=20)) | |
# bar plots | |
viz.bar(X=np.random.rand(20)) | |
viz.bar( | |
X=np.abs(np.random.rand(5, 3)), | |
opts=dict( | |
stacked=True, | |
legend=['Facebook', 'Google', 'Twitter'], | |
rownames=['2012', '2013', '2014', '2015', '2016'] | |
) | |
) | |
viz.bar( | |
X=np.random.rand(20, 3), | |
opts=dict( | |
stacked=False, | |
legend=['The Netherlands', 'France', 'United States'] | |
) | |
) | |
# scatter plots | |
Y = np.random.rand(100) | |
viz.scatter( | |
X=np.random.rand(100, 2), | |
Y=(Y[Y > 0] + 1.5).astype(int), | |
opts=dict( | |
legend=['Apples', 'Pears'], | |
xtickmin=-5, | |
xtickmax=5, | |
xtickstep=0.5, | |
ytickmin=-5, | |
ytickmax=5, | |
ytickstep=0.5, | |
markersymbol='cross-thin-open', | |
) | |
) | |
viz.scatter( | |
X=np.random.rand(100, 3), | |
Y=(Y + 1.5).astype(int), | |
opts=dict( | |
legend=['Men', 'Women'], | |
markersize=5, | |
) | |
) | |
# image demo | |
#viz.image( | |
# np.random.rand(3, 512, 256), | |
# opts=dict(title='Random!', caption='How random.'), | |
#) | |
# grid of images | |
viz.images( | |
np.random.randn(20, 3, 64, 64), | |
opts=dict(title='Random images', caption='How random.') | |
) | |
# video demo: | |
try: | |
video = np.empty([256, 250, 250, 3], dtype=np.uint8) | |
for n in range(256): | |
video[n, :, :, :].fill(n) | |
viz.video(tensor=video) | |
# video demo: download video from http://media.w3.org/2010/05/sintel/trailer.ogv | |
#video_url = 'http://media.w3.org/2010/05/sintel/trailer.ogv' | |
#videofile = '/tmp/trailer.ogv' | |
# download video | |
#urllib.request.urlretrieve(video_url, videofile) | |
#if os.path.isfile(videofile): | |
# viz.video(videofile=videofile) | |
except ImportError: | |
print('Skipped video example') | |
if __name__ == '__main__': | |
parser = ArgumentParser() | |
parser.add_argument('--host', required=False, type=str, help="visdom server host") | |
parser.add_argument('--port', required=False, type=str, help="visdom server port") | |
parser.set_defaults(host=DEFAULT_VISDOM_HOST,port=DEFAULT_VISDOM_PORT) | |
main(parser.parse_args()) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment