commands = ( ('axes', 'create a new axes'), ('axis', 'set or return the current axis limits'), ('bar', 'make a bar chart'), ('cla', 'clear the current axes'), ('clf', 'clear the current figure window'), ('clim', 'set the current color limits'), ('close', 'close the current figure window'), ('cohere', 'make a plot of coherence'), ('csd', 'make a plot of cross spectral density'), ('date_plot', 'plot date data'), ('errorbar', 'make an errorbar graph'), ('figlegend', 'add a legend to the figure'), ('figimage', 'add an image to the figure'), ('figtext', 'add text in figure coords'), ('figure', 'create or change active figure'), ('fill', 'draw filled polygons'), ('gca', 'return the current axes'), ('gcf', 'return the current figure'), ('get', 'get a handle graphics property'), ('gray', 'set current colormap to gray'), ('grid', 'set the axis grid lines on or off'), ('hist', 'make a histogram'), ('imread', 'read an image file into an array'), ('imshow', 'show an image'), ('jet', 'set current colormap to jet'), ('legend', 'add a legend to the axes'), ('load', 'load ASCII data into an array'), ('loglog', 'a log log plot'), ('pcolor', 'generate pseudo color plots'), ('plot', 'make a line plot'), ('psd', 'make a plot of power spectral density'), ('rc', 'set the rc params'), ('save', 'save array as ASCII data array'), ('savefig', 'save the current figure'), ('scatter', 'make a scatter plot'), ('semilogx', 'log x axis'), ('semilogy', 'log y axis'), ('set', 'set a handle graphics property'), ('show', 'show the figures'), ('stem', 'a stem plot'), ('specgram', 'a spectrogram'), ('subplot', 'make a subplot (numrows, numcols, axesnum)'), ('table', 'add a table to the axes'), ('text', 'add some text at location x,y to the current axes'), ('title', 'add a title to the current axes'), ('xlabel', 'add an xlabel to the current axes'), ('ylabel', 'add a ylabel to the current axes'), ) @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 matlab interface have a high degree of Matlab® compatibility.
Function | Description |
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@command@ | @desc@ |