matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell (ala MATLAB®* or Mathematica®†), web application servers, and six graphical user interface toolkits.
matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code. For a sampling, see the screenshots, thumbnail gallery, and examples directory.
For simple plotting the pyplot interface provides a MATLAB-like interface, particularly when combined with IPython. For the power user, you have full control of line styles, font properties, axes properties, etc, via an object oriented interface or via a set of functions familiar to MATLAB users.
| Compute Systems |
Invocation |
Version(s) |
| Red Hat Linux (64-bit) |
% /util/bin/python3
Python 3.4.3 (default, Jul 15 2015, 15:18:53)
[GCC 4.1.2 20080704 (Red Hat 4.1.2-55)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from matplotlib import *
>>> quit()
|
1.4.3 (default) |
- Test
from pylab import *
t = arange(0.0, 2.0, 0.01)
s = sin(2*pi*t)
plot(t, s)
xlabel('time (s)')
ylabel('voltage (mV)')
title('About as simple as it gets, folks')
grid(True)
savefig("test.png")
show()
- Varun Chandola, instructor.
- Tamal Biswas, instructor.
- http://matplotlib.org/
- http://matplotlib.org/users/installing.html
