55{% block body %}
66 < h1 > Welcome</ h1 >
77
8- matplotlib is a python 2D plotting library which produces
8+ < p > matplotlib is a python 2D plotting library which produces
99 publication quality figures in a variety of hardcopy formats and
1010 interactive environments across platforms. matplotlib can be used
1111 in python scripts, the python and < a
1212 href =http://ipython.scipy.org > ipython</ a > shell (ala matlab or
1313 mathematica), web application servers, and six graphical user
14- interface toolkits. < p >
14+ interface toolkits.</ p >
1515
16- matplotlib tries to make easy things easy and hard things possible.
16+ < p > matplotlib tries to make easy things easy and hard things possible.
1717 You can generate plots, histograms, power spectra, bar charts,
1818 errorcharts, scatterplots, etc, with just a few lines of code. For
1919 example, to generate 10,000 gaussian random numbers and make a
@@ -22,19 +22,20 @@ <h1>Welcome</h1>
2222 < pre >
2323 > > > from pylab import randn, hist
2424 > > > x = randn(10000)
25- > > > hist(x, 100)
26- </ pre >
25+ > > > hist(x, 100)</ pre >
2726
2827 For the power user, you have full control of line styles, font
2928 properties, axes properties, etc, via an object oriented interface
30- or via a handle graphics interface familiar to Matlab® users.
29+ or via a handle graphics interface familiar to Matlab® users.</ p >
3130
32- The plotting functions in the < a href =api/pyplot_api.html > pyplot</ a >
33- interface have a high degree of Matlab® compatibility.< p >
31+ < p > The plotting functions in the < a href =api/pyplot_api.html > pyplot</ a >
32+ interface have a high degree of Matlab® compatibility.</ p >
33+
34+ < h3 > Plotting commands</ h3 >
35+ < br >
3436
35- < br >
3637 < table border =1 cellpadding =3 cellspacing =2 >
37- < caption > < h3 > Plotting commands </ h3 > </ caption >
38+
3839 < tr > < th > Function</ th > < th > Description</ th > </ tr >
3940 < tr >
4041 < th align ="left ">
0 commit comments