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24 """Module for interfacing with Grace (also known as Xmgrace, Xmgr, and ace)."""
25
26
27 from math import ceil, sqrt
28
29
30 import pipe_control
31 from pipe_control import pipes
32 import specific_analyses
33
34
35
36
38 """Write a python "grace to PNG/EPS/SVG..." conversion script..
39
40 The makes a conversion script to image types as PNG/EPS/SVG. The conversion is looping over a directory list of *.agr files, and making function calls to xmgrace. Successful conversion of images depends on the compilation of xmgrace. The input is a list of image types which is wanted, f.ex: PNG EPS SVG. PNG is default.
41
42 @keyword file: The file object to write the data to.
43 @type file: file object
44 """
45
46
47 file.write("#!/usr/bin/env python\n")
48 file.write("#\n")
49 file.write("# This script is used to batch convert the Grace *.agr files into graphics bitmap files using the\n")
50 file.write("# Grace program itself. Therefore you will need to install on your system xmgrace,\n")
51 file.write("# (http://plasma-gate.weizmann.ac.il/Grace/), qtgrace (http://sourceforge.net/projects/qtgrace/)\n")
52 file.write("# or gracegtk (http://sourceforge.net/projects/gracegtk/).\n")
53 file.write("\n")
54 file.write("import glob, os, sys\n")
55 file.write("import shlex, subprocess\n")
56 file.write("import optparse\n")
57 file.write("\n")
58 file.write("# Define a callback function, for a multiple input of PNG, EPS, SVG\n")
59 file.write("def foo_callback(option, opt, value, parser):\n")
60 file.write(" setattr(parser.values, option.dest, value.split(','))\n")
61 file.write("\n")
62 file.write("# Add functioning for argument parsing\n")
63 file.write("parser = optparse.OptionParser(description='Process grace files to images')\n")
64 file.write("# Add argument type. Destination instance is set to types.\n")
65 file.write("parser.add_option('-g', action='store_true', dest='relax_gui', default=False, help='Make it possible to run script through relax GUI. Run by using User-functions -> script')\n")
66 file.write("parser.add_option('-l', action='callback', callback=foo_callback, dest='l', type=\"string\", default=False, help='Make in possible to run scriptif relax has logfile turned on. Run by using User-functions -> script')\n")
67 file.write("parser.add_option('-t', action='callback', callback=foo_callback, dest='types', type=\"string\", default=[], help='List image types for conversion. Execute script with: python %s -t PNG,EPS ...'%(sys.argv[0]))\n")
68 file.write("\n")
69 file.write("# Parse the arguments to a Class instance object\n")
70 file.write("args = parser.parse_args()\n")
71 file.write("\n")
72 file.write("# Lets print help if no arguments are passed\n")
73 file.write("if len(sys.argv) == 1 or len(args[0].types) == 0:\n")
74 file.write(" print('system argument is:', sys.argv)\n")
75 file.write(" parser.print_help()\n")
76 file.write(" print('Performing a default PNG conversion')\n")
77 file.write(" # If no input arguments, we make a default PNG option\n")
78 file.write(" args[0].types = ['PNG']\n")
79 file.write("\n")
80 file.write("# If we run through the GUI we cannot pass input arguments so we make a default PNG option\n")
81 file.write("if args[0].relax_gui:\n")
82 file.write(" args[0].types = ['PNG']\n")
83 file.write("\n")
84 file.write("types = list(args[0].types)\n")
85 file.write("\n")
86 file.write("# A easy search for files with *.agr, is to use glob, which is pathnames matching a specified pattern according to the rules used by the Unix shell, not opening a shell\n")
87 file.write("gracefiles = glob.glob(\"*.agr\")\n")
88 file.write("\n")
89 file.write("# For png conversion, several parameters can be passed to xmgrace. These can be altered later afterwards and the script rerun. \n")
90 file.write("# The option for transparent is good for poster or insertion in color backgrounds. The ability for this still depends on xmgrace compilation\n")
91 file.write("if \"PNG\" in types:\n")
92 file.write(" pngpar = \"png.par\"\n")
93 file.write(" if not os.path.isfile(pngpar):\n")
94 file.write(" wpngpar = open(pngpar, \"w\")\n")
95 file.write(" wpngpar.write(\"DEVICE \\\"PNG\\\" FONT ANTIALIASING on\\n\")\n")
96 file.write(" wpngpar.write(\"DEVICE \\\"PNG\\\" OP \\\"transparent:on\\\"\\n\")\n")
97 file.write(" wpngpar.write(\"DEVICE \\\"PNG\\\" OP \\\"compression:9\\\"\\n\")\n")
98 file.write(" wpngpar.close()\n")
99 file.write("\n")
100 file.write("# Now loop over the grace files\n")
101 file.write("for grace in gracefiles:\n")
102 file.write(" # Get the filename without extension\n")
103 file.write(" fname = grace.split(\".agr\")[0]\n")
104 file.write(" if (\"PNG\" in types or \".PNG\" in types or \"png\" in types or \".png\" in types):\n")
105 file.write(" # Produce the argument string\n")
106 file.write(" im_args = r\"xmgrace -hdevice PNG -hardcopy -param %s -printfile %s.png %s\" % (pngpar, fname, grace)\n")
107 file.write(" # Split the arguments the right way to call xmgrace\n")
108 file.write(" im_args = shlex.split(im_args)\n")
109 file.write(" return_code = subprocess.call(im_args)\n")
110 file.write(" if (\"EPS\" in types or \".EPS\" in types or \"eps\" in types or \".eps\" in types):\n")
111 file.write(" im_args = r\"xmgrace -hdevice EPS -hardcopy -printfile %s.eps %s\" % (fname, grace)\n")
112 file.write(" im_args = shlex.split(im_args)\n")
113 file.write(" return_code = subprocess.call(im_args)\n")
114 file.write(" if (\"JPG\" in types or \".JPG\" in types or \"jpg\" in types or \".jpg\" in types):\n")
115 file.write(" im_args = r\"xmgrace -hdevice JPEG -hardcopy -printfile %s.jpg %s\" % (fname, grace)\n")
116 file.write(" im_args = shlex.split(im_args)\n")
117 file.write(" if (\"JPEG\" in types or \".JPEG\" in types or \"jpeg\" in types or \".jpeg\" in types):\n")
118 file.write(" im_args = r\"xmgrace -hdevice JPEG -hardcopy -printfile %s.jpg %s\" % (fname, grace)\n")
119 file.write(" im_args = shlex.split(im_args)\n")
120 file.write(" return_code = subprocess.call(im_args)\n")
121 file.write(" if (\"SVG\" in types or \".SVG\" in types or \"svg\" in types or \".svg\" in types):\n")
122 file.write(" im_args = r\"xmgrace -hdevice SVG -hardcopy -printfile %s.svg %s\" % (fname, grace)\n")
123 file.write(" im_args = shlex.split(im_args)\n")
124 file.write(" return_code = subprocess.call(im_args)\n")
125
126
128 """Write the data into the Grace xy-scatter plot.
129
130 The numerical data should be supplied as a 4 dimensional list or array object. The first dimension corresponds to the graphs, Gx. The second corresponds the sets of each graph, Sx. The third corresponds to the data series (i.e. each data point). The forth is a list of the information about each point, it is a list where the first element is the x value, the second is the y value, the third is the optional dx or dy error (either dx or dy dependent upon the graph_type arg), and the forth is the optional dy error when graph_type is xydxdy (the third position is then dx).
131
132
133 @param data: The 4D structure of numerical data to graph (see docstring).
134 @type data: list of lists of lists of float
135 @keyword file: The file object to write the data to.
136 @type file: file object
137 @keyword graph_type: The graph type which can be one of xy, xydy, xydx, or xydxdy.
138 @type graph_type: str
139 @keyword norm: The normalisation flag which if set to True will cause all graphs to be normalised to 1. The first dimension is the graph.
140 @type norm: None or list of bool
141 """
142
143
144 graph_num = len(data)
145
146
147 if not norm:
148 norm = []
149 for gi in range(graph_num):
150 norm.append(False)
151
152
153 comment_col = 2
154 if graph_type in ['xydx', 'xydy']:
155 comment_col = 3
156 elif graph_type == 'xydxdy':
157 comment_col = 4
158
159
160 for gi in range(graph_num):
161
162 for si in range(len(data[gi])):
163
164 file.write("@target G%s.S%s\n" % (gi, si))
165 file.write("@type %s\n" % graph_type)
166
167
168 norm_fact = 1.0
169 if norm[gi]:
170 norm_fact = data[gi][si][0][1]
171
172
173 for point in data[gi][si]:
174
175 if point[0] == None or point[1] == None:
176 continue
177
178
179 file.write("%-30s %-30.15f" % (point[0], point[1]/norm_fact))
180
181
182 if graph_type in ['xydx', 'xydy', 'xydxdy']:
183
184 error = point[2]
185 if error == None:
186 error = 0.0
187
188
189 file.write(" %-30.15f" % (error/norm_fact))
190
191
192 if graph_type == 'xydxdy':
193
194 error = point[3]
195 if error == None:
196 error = 0.0
197
198
199 file.write(" %-30.15f" % (error/norm_fact))
200
201
202 try:
203 file.write("%30s \"# %s\"" % ('', point[comment_col]))
204 except IndexError:
205 pass
206
207
208 file.write("\n")
209
210
211 file.write("&\n")
212
213
214 for i in range(graph_num):
215 file.write("@with g%i\n" % i)
216 file.write("@autoscale\n")
217
218
219 if len(data) > 1:
220 row_num = int(round(sqrt(len(data))))
221 col_num = int(ceil(sqrt(len(data))))
222 file.write("@arrange(%i, %i, .1, .1, .1, OFF, OFF, OFF)\n" % (row_num, col_num))
223
224
226 """Write the grace header for xy-scatter plots.
227
228 Many of these keyword arguments should be supplied in a [X, Y] list format, where the first element corresponds to the X data, and the second the Y data. Defaults will be used for any non-supplied args (or lists with elements set to None).
229
230
231 @keyword file: The file object to write the data to.
232 @type file: file object
233 @keyword paper_size: The paper size, i.e. 'A4'. If set to None, this will default to letter size.
234 @type paper_size: str
235 @keyword title: The title of the graph.
236 @type title: None or str
237 @keyword subtitle: The sub-title of the graph.
238 @type subtitle: None or str
239 @keyword view: List of 4 coordinates defining the graph view port.
240 @type view: None or list of float
241 @keyword graph_num: The total number of graphs.
242 @type graph_num: int
243 @keyword sets: The number of data sets in each graph.
244 @type sets: list of int
245 @keyword set_names: The names associated with each graph data set Gx.Sy. For example this can be a list of spin identification strings. The first dimension is the graph, the second is the set.
246 @type set_names: None or list of list of str
247 @keyword set_colours: The colours for each graph data set Gx.Sy. The first dimension is the graph, the second is the set.
248 @type set_colours: None or list of list of int
249 @keyword x_axis_type_zero: The flags specifying if the X-axis should be placed at zero.
250 @type x_axis_type_zero: None or list of lists of bool
251 @keyword y_axis_type_zero: The flags specifying if the Y-axis should be placed at zero.
252 @type y_axis_type_zero: None or list of lists of bool
253 @keyword symbols: The symbol style for each graph data set Gx.Sy. The first dimension is the graph, the second is the set.
254 @type symbols: None or list of list of int
255 @keyword symbol_sizes: The symbol size for each graph data set Gx.Sy. The first dimension is the graph, the second is the set.
256 @type symbol_sizes: None or list of list of int
257 @keyword symbol_fill: The symbol file style for each graph data set Gx.Sy. The first dimension is the graph, the second is the set.
258 @type symbol_fill: None or list of list of int
259 @keyword linestyle: The line style for each graph data set Gx.Sy. The first dimension is the graph, the second is the set.
260 @type linestyle: None or list of list of int
261 @keyword linetype: The line type for each graph data set Gx.Sy. The first dimension is the graph, the second is the set.
262 @type linetype: None or list of list of int
263 @keyword linewidth: The line width for all elements of each graph data set Gx.Sy. The first dimension is the graph, the second is the set.
264 @type linewidth: None or list of float
265 @keyword data_type: The axis data category (in the [X, Y] list format).
266 @type data_type: None or list of list of str
267 @keyword seq_type: The sequence data type (in the [X, Y] list format). This is for molecular sequence specific data and can be one of 'res', 'spin', or 'mixed'.
268 @type seq_type: None or list of list of str
269 @keyword axis_labels: The labels for the axes (in the [X, Y] list format). The first dimension is the graph.
270 @type axis_labels: None or list of list of str
271 @keyword legend: If True, the legend will be visible. The first dimension is the graph.
272 @type legend: list of bool
273 @keyword legend_pos: The position of the legend, e.g. [0.3, 0.8]. The first dimension is the graph.
274 @type legend_pos: None or list of list of float
275 @keyword legend_box_fill_pattern: The legend box fill. If set to 0, it will become transparent.
276 @type legend_box_fill_pattern: int
277 @keyword legend_char_size: The size of the legend box text.
278 @type legend_char_size: float
279 @keyword norm: The normalisation flag which if set to True will cause all graphs to be normalised to 1. The first dimension is the graph.
280 @type norm: list of bool
281 """
282
283
284 if sets == None:
285 sets = []
286 for gi in range(graph_num):
287 sets.append(1)
288 if x_axis_type_zero == None:
289 x_axis_type_zero = []
290 for gi in range(graph_num):
291 x_axis_type_zero.append(False)
292 if y_axis_type_zero == None:
293 y_axis_type_zero = []
294 for gi in range(graph_num):
295 y_axis_type_zero.append(False)
296 if linewidth == None:
297 linewidth = []
298 for gi in range(graph_num):
299 linewidth.append(0.5)
300 if norm == None:
301 norm = []
302 for gi in range(graph_num):
303 norm.append(False)
304 if not legend_box_fill_pattern:
305 legend_box_fill_pattern = []
306 for gi in range(graph_num):
307 legend_box_fill_pattern.append(1)
308 if not legend_char_size:
309 legend_char_size = []
310 for gi in range(graph_num):
311 legend_char_size.append(1.0)
312
313
314 if not data_type:
315 data_type = [None, None]
316 if not seq_type:
317 seq_type = [None, None]
318 if not axis_labels:
319 axis_labels = []
320 for gi in range(graph_num):
321 axis_labels.append([None, None])
322
323
324 file.write("@version 50121\n")
325
326
327 if paper_size == 'A4':
328 file.write("@page size 842, 595\n")
329
330
331 for gi in range(graph_num):
332
333 file.write("@with g%i\n" % gi)
334
335
336 if not view:
337 view = [0.15, 0.15, 1.28, 0.85]
338 file.write("@ view %s, %s, %s, %s\n" % (view[0], view[1], view[2], view[3]))
339
340
341 if title:
342 file.write("@ title \"%s\"\n" % title)
343 if subtitle:
344 file.write("@ subtitle \"%s\"\n" % subtitle)
345
346
347 if x_axis_type_zero[gi]:
348 file.write("@ xaxis type zero true\n")
349 if y_axis_type_zero[gi]:
350 file.write("@ yaxis type zero true\n")
351
352
353 axes = ['x', 'y']
354 for i in range(2):
355
356 analysis_spec = False
357 if pipes.cdp_name():
358
359 analysis_spec = True
360
361
362 return_units = specific_analyses.setup.get_specific_fn('return_units', pipes.get_type())
363 return_grace_string = specific_analyses.setup.get_specific_fn('return_grace_string', pipes.get_type())
364
365
366 if data_type[i] and data_type[i] != 'spin' and pipe_control.minimise.return_data_name(data_type[i]):
367 return_units = pipe_control.minimise.return_units
368 return_grace_string = pipe_control.minimise.return_grace_string
369
370
371 if data_type[i] == 'spin':
372
373 if seq_type[i] == 'res':
374
375 if not axis_labels[gi][i]:
376 axis_labels[gi][i] = "Residue number"
377
378
379 if seq_type[i] == 'spin':
380
381 if not axis_labels[gi][i]:
382 axis_labels[gi][i] = "Spin number"
383
384
385 if seq_type[i] == 'mixed':
386
387 if not axis_labels[gi][i]:
388 axis_labels[gi][i] = "Spin identification string"
389
390
391 else:
392
393 if analysis_spec and (not axis_labels or not axis_labels[gi][i]):
394
395 units = return_units(data_type[i])
396
397
398 axis_labels[gi][i] = return_grace_string(data_type[i])
399
400
401 if units:
402 axis_labels[gi][i] = axis_labels[gi][i] + "\\N (" + units + ")"
403
404
405 if norm and norm[gi] and axes[i] == 'y':
406 axis_labels[gi][i] = axis_labels[gi][i] + " \\N\\q(normalised)\\Q"
407
408
409 if axis_labels[gi][i]:
410 file.write("@ %saxis label \"%s\"\n" % (axes[i], axis_labels[gi][i]))
411 file.write("@ %saxis label char size 1.00\n" % axes[i])
412 file.write("@ %saxis tick major size 0.50\n" % axes[i])
413 file.write("@ %saxis tick major linewidth %s\n" % (axes[i], linewidth[gi]))
414 file.write("@ %saxis tick minor linewidth %s\n" % (axes[i], linewidth[gi]))
415 file.write("@ %saxis tick minor size 0.25\n" % axes[i])
416 file.write("@ %saxis ticklabel char size 0.70\n" % axes[i])
417
418
419 if legend != None and legend[gi]:
420 file.write("@ legend on\n")
421 else:
422 file.write("@ legend off\n")
423 if legend_pos != None:
424 file.write("@ legend %s, %s\n" % (legend_pos[gi][0], legend_pos[gi][1]))
425 file.write("@ legend box fill pattern %s\n" % legend_box_fill_pattern[gi])
426 file.write("@ legend char size %s\n" % legend_char_size[gi])
427
428
429 file.write("@ frame linewidth %s\n" % linewidth[gi])
430
431
432 for i in range(sets[gi]):
433
434 if symbols:
435 file.write("@ s%i symbol %i\n" % (i, symbols[gi][i]))
436 else:
437
438 num = i % 10 + 1
439
440
441 file.write("@ s%i symbol %i\n" % (i, num))
442
443
444 if symbol_sizes:
445 file.write("@ s%i symbol size %s\n" % (i, symbol_sizes[gi][i]))
446 else:
447 file.write("@ s%i symbol size 0.45\n" % i)
448
449
450 if symbol_fill:
451 file.write("@ s%i symbol fill pattern %i\n" % (i, symbol_fill[gi][i]))
452
453
454 file.write("@ s%i symbol linewidth %s\n" % (i, linewidth[gi]))
455
456
457 if set_colours:
458 file.write("@ s%i symbol color %s\n" % (i, set_colours[gi][i]))
459 file.write("@ s%i symbol fill color %s\n" % (i, set_colours[gi][i]))
460
461
462 file.write("@ s%i errorbar size 0.5\n" % i)
463 file.write("@ s%i errorbar linewidth %s\n" % (i, linewidth[gi]))
464 file.write("@ s%i errorbar riser linewidth %s\n" % (i, linewidth[gi]))
465
466
467 if linestyle:
468 file.write("@ s%i line linestyle %s\n" % (i, linestyle[gi][i]))
469
470
471 if linetype:
472 file.write("@ s%i line type %s\n" % (i, linetype[gi][i]))
473
474
475 if set_colours:
476 file.write("@ s%i line color %s\n" % (i, set_colours[gi][i]))
477 file.write("@ s%i fill color %s\n" % (i, set_colours[gi][i]))
478 file.write("@ s%i avalue color %s\n" % (i, set_colours[gi][i]))
479 file.write("@ s%i errorbar color %s\n" % (i, set_colours[gi][i]))
480
481
482 if set_names and len(set_names) and len(set_names[gi]) and set_names[gi][i]:
483 file.write("@ s%i legend \"%s\"\n" % (i, set_names[gi][i]))
484