def make_plot(data, properties, titles, **kwargs):
""" main function to generate a 1D plot
* each dataset is represented by a numpy array consisting of data points in
the format ``[x, y, dx, dy1, dy2]``, dy1 = statistical error, dy2 = systematic uncertainty
* for symbol numbers to use in labels see http://bit.ly/1erBgIk
* lines format: `'<x/y>=<value>': '<gnuplot options>'`, horizontal = (along) x, vertical = (along) y
* labels format: `'label text': [x, y, abs. placement true/false]`
* arrows format: `[<x0>, <y0>], [<x1>, <y1>], '<gnuplot props>'`
:param data: datasets
:type data: list
:param properties: gnuplot property strings for each dataset (lc, lw, pt ...)
:type properties: list
:param titles: legend/key titles for each dataset
:type titles: list
:param name: basename of output files
:type name: str
:param title: image title
:type title: str
:param debug: flag to switch to debug/verbose mode
:type debug: bool
:param key: legend/key options to be applied on top of default_key
:type key: list
:param xlabel: label for x-axis
:type xlabel: str
:param ylabel: label for y-axis
:type ylabel: str
:param xr: x-axis range
:type xr: list
:param yr: y-axis range
:type yr: list
:param xreverse: reverse x-axis range
:type xreverse: bool
:param yreverse: reverse x-axis range
:type yreverse: bool
:param xlog: make x-axis logarithmic
:type xlog: bool
:param ylog: make y-axis logarithmic
:type ylog: bool
:param lines: vertical and horizontal lines
:type lines: dict
:param arrows: arrows
:type arrows: list
:param labels: labels
:type labels: dict
:param lmargin: defines left margin size (relative to screen)
:type lmargin: float
:param bmargin: defines bottom margin size
:type bmargin: float
:param rmargin: defines right margin size
:type rmargin: float
:param tmargin: defines top margin size
:type tmargin: float
:param arrow_offset: offset from data point for special error bars (see gp_panel)
:type arrow_offset: float
:param arrow_length: length of arrow from data point towards zero for special error bars (see gp_panel)
:type arrow_length: float
:param arrow_bar: width of vertical bar at end of special error bars (see gp_panel)
:type arrow_bar: float
:param gpcalls: execute arbitrary gnuplot set commands
:type gpcalls: list
:returns: MyPlot
"""
plt = MyPlot(
name = kwargs.get('name', 'test'),
title = kwargs.get('title', ''),
debug = kwargs.get('debug', 0)
)
plt.setErrorArrows(**kwargs)
plt.setAxisLogs(**kwargs)
plt.initData(data, properties, titles)
plt.prepare_plot(**kwargs)
plt._setter(kwargs.get('gpcalls', []))
plt.plot()
return plt
def make_panel(dpt_dict, **kwargs):
"""make a panel plot
* ``name/title/debug`` are global options used once to initialize the multiplot
* ``x,yr/x,ylog/lines/labels/gpcalls`` are applied on each subplot
* ``key/ylabel`` are only plotted in first subplot
* ``xlabel`` is centered over entire panel
* same for ``r,l,b,tmargin`` where ``r,lmargin`` will be reset, however, to
allow for merged y-axes
* input: OrderedDict w/ subplot titles as keys and lists of make_plot's
``data/properties/titles`` as values, see below
* ``layout`` = '<cols>x<rows>', defaults to horizontal panel if omitted
* ``key_subplot_id`` sets the desired subplot to put the key in
:param dpt_dict: ``OrderedDict('subplot-title': [data, properties, titles], ...)``
:type dpt_dict: dict
"""
plt = MyPlot(
name = kwargs.get('name', 'test'),
title = kwargs.get('title', ''),
debug = kwargs.get('debug', 0)
)
nSubPlots = len(dpt_dict)
plt.size = kwargs.get('size', default_size)
height, width = [
float(ureg.parse_expression(s).to('cm').magnitude)
for s in plt.size.split(',')
]
text_inch = ureg.parse_expression('24point').to('cm').magnitude
lm = kwargs.get('lmargin', 2.2*text_inch/width)
bm = kwargs.get('bmargin', 1.8*text_inch/height)
rm = kwargs.get('rmargin', 0.99)
tm = kwargs.get('tmargin', 0.99)
xlabel, ylabel = kwargs.get('xlabel',''), kwargs.get('ylabel','')
plt._setter([
'label 100 "%s" at screen %f,%f rotate center' % (ylabel, lm/2/2.2, (bm+tm)/2),
'label 101 "%s" at screen %f,%f center' % (xlabel, (lm+rm)/2, bm/2/1.8),
])
nx, ny = nSubPlots, 1 # horizontal panel by default
layout = kwargs.get('layout')
if layout is not None: nx, ny = map(int, layout.split('x'))
w, h = (rm - lm) / nx, (tm - bm) / ny
nDanglPlots = nSubPlots%nx # number of plots "dangling" in last row
plt._setter([
'terminal postscript eps enhanced color "Helvetica" 24 size %fcm,%fcm' % (width, height),
'output "%s"' % plt.epsname,
'multiplot layout %d,%d rowsfirst' % (ny, nx)
])
plt.setErrorArrows(**kwargs)
xgap, ygap = 0.1 / width, 0.1 / height # both in cm
key_subplot_id = kwargs.get('key_subplot_id', 0)
if nDanglPlots > 0 and key_subplot_id > len(dpt_dict)-1: # allow for key in dangling panel
cp_key = dpt_dict.keys()[0]
xr = kwargs.get('xr')
if xr is not None: xfake = xr[0] - 0.5 * (xr[1]-xr[0])
else: xfake = 1.
dpt_dict.update({'': [
[ np.array([[xfake, 1, 0, 0, 0]]) for d in dpt_dict[cp_key][0] ],
dpt_dict[cp_key][1], dpt_dict[cp_key][2]
]})
for subplot_title, dpt in dpt_dict.iteritems():
if plt.nLabels > 0: plt.gp('unset label')
plt.setLabel('{/Helvetica-Bold %s}' % subplot_title, [0.1, 0.9])
plt.setAxisLogs(**kwargs)
plt.initData(*dpt, subplot_title = subplot_title)
plt.prepare_plot(margins=False, **kwargs)
col, row = plt.nPanels % nx, plt.nPanels / nx
sub_lm = lm + col * w + xgap/2.
sub_rm = lm + (col + 1) * w - xgap/2.
sub_tm = tm - row * h - ygap/2.
sub_bm = tm - (row + 1) * h + ygap/2.
plt.gp('unset xlabel')
plt.gp('unset ylabel')
if col > 0: plt.gp('set format y " "')
if ( row < ny-1 and not nDanglPlots ) or (
row+1 == ny-1 and nDanglPlots and col+1 <= nDanglPlots
): plt.gp('set format x " "')
if plt.nPanels > 0:
plt.gp('set noarrow')
if plt.nPanels != key_subplot_id:
plt.gp('unset key')
plt.nPanels += 1
plt._setter([
'lmargin at screen %f' % sub_lm, 'rmargin at screen %f' % sub_rm,
'bmargin at screen %f' % sub_bm, 'tmargin at screen %f' % sub_tm
] + kwargs.get('gpcalls', []))
if nDanglPlots > 0 and plt.nPanels-1 == key_subplot_id:
plt.gp('set format x " "')
plt.gp('unset border')
plt.gp('unset xtics')
plt.gp('unset ytics')
plt.gp('unset object')
plt.plot(hardcopy = False)
plt._hardcopy()
plt.gp('unset multiplot; set output')
