Hi,
I've been playing with matplotlib to check if it can produce graphics like:
http://www.thebuzzmedia.com/wp-content/uploads/2010/03/anandtech-nvidia-geforce-480-ati-benchmark2.png
Here is the result:
http://www.loria.fr/~rougier/tmp/benchmark.png
and the script (as attachment)
I do not know if it's worth adding it to examples ?
Nicolas
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (C) 2011 Nicolas P. Rougier
#
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * Neither the name of the glumpy Development Team nor the names of its
# contributors may be used to endorse or promote products derived from this
# software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
#
# -----------------------------------------------------------------------------
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.patches as patches
# ----------
# Data to be represented
products = ['Vendor A - Product A', 'Vendor A - Product B', 'Vendor A - Product C',
'Vendor B - Product A', 'Vendor B - Product B', 'Vendor B - Product C',
'Vendor C - Product A', 'Vendor C - Product B', 'Vendor C - Product C']
values = np.random.uniform(10,60,len(products))
# ----------
# Choose some nice colors
matplotlib.rc('axes', facecolor = '#6E838A')
matplotlib.rc('axes', edgecolor = '#737373')
matplotlib.rc('axes', linewidth = 1)
matplotlib.rc('ytick', direction='out')
matplotlib.rc('xtick', direction='out')
matplotlib.rc('figure.subplot', left=0.25)
# Make figure background the same colors as axes
fig = plt.figure(figsize=(12,8), facecolor='#6E838A')
# Remove left and top axes spines
axes = plt.subplot(1,1,1)
axes.spines['right'].set_color('none')
axes.spines['top'].set_color('none')
axes.xaxis.set_ticks_position('bottom')
axes.yaxis.set_ticks_position('left')
# Adjust yticks to the number of products
plt.yticks(np.arange(len(products)+1), [])
# Set tick labels color to white
for label in axes.get_xticklabels()+axes.get_yticklabels():
label.set_color('white')
# Set tick labels line width to 1
for line in axes.get_xticklines() + axes.get_yticklines():
line.set_linewidth(1)
# Set axes limits
ymin, ymax = 0, len(products)
xmin, xmax = 0, 60
plt.xlim(xmin,xmax)
plt.ylim(ymin,ymax)
# Start with blue colormap
cmap = plt.cm.Blues
for i, label in enumerate(products):
# Alternate band of light background
if not i%2:
#X = [[(1,1,1,.5)]]
#axes.imshow(X, extent=(0,xmax, i,i+1))
p = patches.Rectangle(
(0, i), xmax, 1, fill=True, transform=axes.transData,
lw=0, facecolor='w', alpha=.1)
axes.add_patch(p)
# Product name left to the axes
plt.text(-.5, i+0.5, label, color="white",
horizontalalignment='right', verticalalignment='center')
# Plot the bar with gradient (1 to .65)
value = values[i]
X = np.array([1,.65]).reshape((1,2))
axes.imshow(X,extent=(0,value,i+.25,i+.75),cmap=cmap, vmin=0, vmax=1)
plt.text(value-0.5, i+0.5, '%.1f' % value, color="white",
horizontalalignment='right', verticalalignment='center')
# Change colormap every 3 values
if i >= 2: cmap = plt.cm.Greens
if i >= 5: cmap = plt.cm.Reds
# Set a nice figure aspect
axes.set_aspect(4.5)
# Write some title & subtitle
plt.text(1, 10.0, "Vendor benchmarks", color="1.0", fontsize=16)
plt.text(1, 9.7, "(higher is better)", color="0.75", fontsize=12)
# Done
plt.savefig('benchmark.png', facecolor='#6E838A')
plt.show()
------------------------------------------------------------------------------
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