visual Package

visual Package

Visualisation routines for data mining

chunk_plot Module

pyfusion.visual.chunk_plot.chunk_plot(x, y, ax=None, plot_centers=False, chunksize=20)

lasso_fs_init Module

multi_line_plot Module

nlines=3000, npts=10 rasterized, dpi=400 get too many blocks error nlines=10000, npts=10 rasterized, dpi=300 get too many blocks error nlines=10000, npts=10 rasterized, dpi=100 OK

pyfusion.visual.multi_line_plot.join_segments(*args)

take a list or array of sequences representing line coordinates, and join them using nans as the separator. This way plotting will be faster, and rasterization will be more efficient. Works on one or more lists, typical call is

>>> x2, y2 = join_segments(x,y)
>>> plt.plot(x2,y2,'r',lw=30./nlines,rasterized=True)

sp Module

pyfusion.visual.sp.off(colls)

pyfusion.visual.sp.on(colls)

control the overlay of points - on or off This is somewhat specialised to scatterplots as refers to a collection

pyfusion.visual.sp.size_val(marker_size, size_scale, dot_size)

pyfusion.visual.sp.sp(ds, x=None, y=None, sz=None, col=None, c=None, decimate=0, ind=None, nomode=None, size_scale=None, dot_size=30, hold=0, seed=None, colorbar=None, dither=0, legend=True, marker='o', **kwargs)

Scatter plot front end, size_scale x, y, sz, col can be keys or variables (of matching size to ds) decimate = 0.1 selects 10% of the input, -0.1 uses a fixed key. Note: This code is messy, but the idea is sound - that is 1: Exploit the flexible colour and size of scatter 2: flexible inputs via string names or by arrays 3: Treat mode numbers specially to suppress “undefined” mode numbers dither 0: no effect -ve random seed, +ve repeated seed c is the same as col for compatibility with satter returns a collection so that they can be selectively turned on an off hold==2 returns without labelling or colorbar - suitable for a basic overlay.

pyfusion.visual.sp.tog(colls=None)

subplots Module

pyfusion.visual.subplots.subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, apportion=None, debug=0, *args, **kwargs)

enhanced subplot routine, allowing for changing relative sizes apportion initially applies only to the vertical direction, first element refers to the topmost element

vis Module

pyfusion.visual.vis.vis(dd, ax=None, size=1, show=False, inds=None, debug=False)

return the indices in dd which are currently visible and greater in size than size (>=). Use after visual.sp size = 0 will return all points and sizes

window_manager Module

pyfusion.visual.window_manager.close_matching(str)

close all pylab windows with str in the title, see also raise _matching

pyfusion.visual.window_manager.cm(str)

close all pylab windows with str in the title, see also raise _matching

pyfusion.visual.window_manager.raise_matching(str)

raise all pylab windows with str in the title, whether they flash or raise depends on window manager and settings Note that figure(num=’myname’) is a legal way to name a fig

pyfusion.visual.window_manager.rwm(str)

raise all pylab windows with str in the title, whether they flash or raise depends on window manager and settings Note that figure(num=’myname’) is a legal way to name a fig

pyfusion.visual.window_manager.save_matching(str, prefix=None)

save all pylab windows with str in the title, Note that figure(num=’myname’) is a legal way to name a fig

pyfusion.visual.window_manager.swm(str, prefix=None)

save all pylab windows with str in the title, Note that figure(num=’myname’) is a legal way to name a fig