*  http://www.scipy.org/Cookbook/Matplotlib *  http://matplotlib.sourceforge.net/users/pyplot_tutorial.html *  http://matplotlib.sourceforge.net/users/artists.html

*  http://matplotlib.sourceforge.net/contents.html *  http://matplotlib.sourceforge.net/users/legend_guide.html

*  http://matplotlib.sourceforge.net/users/screenshots.html *  http://matplotlib.sourceforge.net/users/mathtext.html#mathtext-tutorial

Colors ¶

Commands which take color arguments can use several formats to specify the colors. For the basic builtin colors, you can use a single letter

• b : blue
• g : green
• r : red
• c : cyan
• m : magenta
• y : yellow
• k : black
• w : white

Gray shades can be given as a string encoding a float in the 0-1 range, e.g.:

color = '0.75'

For a greater range of colors, you have two options. You can specify the color using an html hex string, as in:

color = '#eeefff'

or you can pass an R , G , B tuple, where each of R , G , B are in the range [0,1].

Recipes ¶

   1 #!/usr/bin/env python
   2 """
   3 Example: simple line plot.
   4 Show how to make and save a simple line plot with labels, title and grid
   5 """
   6 import numpy
   7 import pylab
   8 
   9 t = numpy.arange(0.0, 1.0+0.01, 0.01)
  10 s = numpy.cos(2*2*numpy.pi*t)
  11 pylab.plot(t, s)
  12 
  13 pylab.xlabel('time (s)')
  14 pylab.ylabel('voltage (mV)')
  15 pylab.title('About as simple as it gets, folks')
  16 pylab.grid(True)
  17 pylab.savefig('simple_plot')
  18 
  19 pylab.show()

Passing curves to plot

This is understood as 1 curve with 4 points:

plt.plot([1,2,3,4], [1,4,9,16], 'ro')

And this is 2 curves of 3 points:

plot([(1, 4), (2, 5), (3, 6)]) ## No X axxis provided!

Enter an X axxis with texts:

pl = pylab.subplot(111)

pl.set_xticks([0,1,2])
Out[45]: 
[<matplotlib.axis.XTick object at 0x94ce2ac>,
 <matplotlib.axis.XTick object at 0x94d586c>,
 <matplotlib.axis.XTick object at 0x94d58ac>]

pl.set_xticklabels(['a','b','c'])
Out[46]: 
[<matplotlib.text.Text object at 0x94ce62c>,
 <matplotlib.text.Text object at 0x94d5b6c>,
 <matplotlib.text.Text object at 0x94d5f4c>]

pylab.plot([0,1,2],zip([1,2,3],[4,5,6]))
Out[47]: 
[<matplotlib.lines.Line2D object at 0x94f1c6c>,
 <matplotlib.lines.Line2D object at 0x94f1eac>]

pylab.show()