from hthelpers import get_mpl_commands all_commands = get_mpl_commands() commands = all_commands[0][1] @header@
matplotlib trys 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 example, to make a histogram of data in x, you simply need to type
>>> hist(x, 100) # use 100 binsFor the power user, you have full control of line styles, font properties, axes properties, etc, via an object oriented interface or via a handle graphics interface familiar to matlab users. A summary of the goals of matplotlib and the progress so far can be found here.
The plotting functions in the pylab interface have a high degree of Matlab® compatibility.
Function | Description |
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@command@ | @desc@ |