Babeltrace python binding
[babeltrace.git] / bindings / python / examples / output_format_modules / series.py
1 #!/usr/bin/env python
2 # -*- coding: utf-8 -*-
3
4 # Serie.py
5 #
6 # Copyright (c) 2008 Magnun Leno da Silva
7 #
8 # Author: Magnun Leno da Silva <magnun.leno@gmail.com>
9 #
10 # This program is free software; you can redistribute it and/or
11 # modify it under the terms of the GNU Lesser General Public License
12 # as published by the Free Software Foundation; either version 2 of
13 # the License, or (at your option) any later version.
14 #
15 # This program is distributed in the hope that it will be useful,
16 # but WITHOUT ANY WARRANTY; without even the implied warranty of
17 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
18 # GNU General Public License for more details.
19 #
20 # You should have received a copy of the GNU Lesser General Public
21 # License along with this program; if not, write to the Free Software
22 # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
23 # USA
24
25 # Contributor: Rodrigo Moreiro Araujo <alf.rodrigo@gmail.com>
26
27 #import cairoplot
28 import doctest
29
30 NUMTYPES = (int, float, long)
31 LISTTYPES = (list, tuple)
32 STRTYPES = (str, unicode)
33 FILLING_TYPES = ['linear', 'solid', 'gradient']
34 DEFAULT_COLOR_FILLING = 'solid'
35 #TODO: Define default color list
36 DEFAULT_COLOR_LIST = None
37
38 class Data(object):
39 '''
40 Class that models the main data structure.
41 It can hold:
42 - a number type (int, float or long)
43 - a tuple, witch represents a point and can have 2 or 3 items (x,y,z)
44 - if a list is passed it will be converted to a tuple.
45
46 obs: In case a tuple is passed it will convert to tuple
47 '''
48 def __init__(self, data=None, name=None, parent=None):
49 '''
50 Starts main atributes from the Data class
51 @name - Name for each point;
52 @content - The real data, can be an int, float, long or tuple, which
53 represents a point (x,y) or (x,y,z);
54 @parent - A pointer that give the data access to it's parent.
55
56 Usage:
57 >>> d = Data(name='empty'); print d
58 empty: ()
59 >>> d = Data((1,1),'point a'); print d
60 point a: (1, 1)
61 >>> d = Data((1,2,3),'point b'); print d
62 point b: (1, 2, 3)
63 >>> d = Data([2,3],'point c'); print d
64 point c: (2, 3)
65 >>> d = Data(12, 'simple value'); print d
66 simple value: 12
67 '''
68 # Initial values
69 self.__content = None
70 self.__name = None
71
72 # Setting passed values
73 self.parent = parent
74 self.name = name
75 self.content = data
76
77 # Name property
78 @apply
79 def name():
80 doc = '''
81 Name is a read/write property that controls the input of name.
82 - If passed an invalid value it cleans the name with None
83
84 Usage:
85 >>> d = Data(13); d.name = 'name_test'; print d
86 name_test: 13
87 >>> d.name = 11; print d
88 13
89 >>> d.name = 'other_name'; print d
90 other_name: 13
91 >>> d.name = None; print d
92 13
93 >>> d.name = 'last_name'; print d
94 last_name: 13
95 >>> d.name = ''; print d
96 13
97 '''
98 def fget(self):
99 '''
100 returns the name as a string
101 '''
102 return self.__name
103
104 def fset(self, name):
105 '''
106 Sets the name of the Data
107 '''
108 if type(name) in STRTYPES and len(name) > 0:
109 self.__name = name
110 else:
111 self.__name = None
112
113
114
115 return property(**locals())
116
117 # Content property
118 @apply
119 def content():
120 doc = '''
121 Content is a read/write property that validate the data passed
122 and return it.
123
124 Usage:
125 >>> d = Data(); d.content = 13; d.content
126 13
127 >>> d = Data(); d.content = (1,2); d.content
128 (1, 2)
129 >>> d = Data(); d.content = (1,2,3); d.content
130 (1, 2, 3)
131 >>> d = Data(); d.content = [1,2,3]; d.content
132 (1, 2, 3)
133 >>> d = Data(); d.content = [1.5,.2,3.3]; d.content
134 (1.5, 0.20000000000000001, 3.2999999999999998)
135 '''
136 def fget(self):
137 '''
138 Return the content of Data
139 '''
140 return self.__content
141
142 def fset(self, data):
143 '''
144 Ensures that data is a valid tuple/list or a number (int, float
145 or long)
146 '''
147 # Type: None
148 if data is None:
149 self.__content = None
150 return
151
152 # Type: Int or Float
153 elif type(data) in NUMTYPES:
154 self.__content = data
155
156 # Type: List or Tuple
157 elif type(data) in LISTTYPES:
158 # Ensures the correct size
159 if len(data) not in (2, 3):
160 raise TypeError, "Data (as list/tuple) must have 2 or 3 items"
161 return
162
163 # Ensures that all items in list/tuple is a number
164 isnum = lambda x : type(x) not in NUMTYPES
165
166 if max(map(isnum, data)):
167 # An item in data isn't an int or a float
168 raise TypeError, "All content of data must be a number (int or float)"
169
170 # Convert the tuple to list
171 if type(data) is list:
172 data = tuple(data)
173
174 # Append a copy and sets the type
175 self.__content = data[:]
176
177 # Unknown type!
178 else:
179 self.__content = None
180 raise TypeError, "Data must be an int, float or a tuple with two or three items"
181 return
182
183 return property(**locals())
184
185
186 def clear(self):
187 '''
188 Clear the all Data (content, name and parent)
189 '''
190 self.content = None
191 self.name = None
192 self.parent = None
193
194 def copy(self):
195 '''
196 Returns a copy of the Data structure
197 '''
198 # The copy
199 new_data = Data()
200 if self.content is not None:
201 # If content is a point
202 if type(self.content) is tuple:
203 new_data.__content = self.content[:]
204
205 # If content is a number
206 else:
207 new_data.__content = self.content
208
209 # If it has a name
210 if self.name is not None:
211 new_data.__name = self.name
212
213 return new_data
214
215 def __str__(self):
216 '''
217 Return a string representation of the Data structure
218 '''
219 if self.name is None:
220 if self.content is None:
221 return ''
222 return str(self.content)
223 else:
224 if self.content is None:
225 return self.name+": ()"
226 return self.name+": "+str(self.content)
227
228 def __len__(self):
229 '''
230 Return the length of the Data.
231 - If it's a number return 1;
232 - If it's a list return it's length;
233 - If its None return 0.
234 '''
235 if self.content is None:
236 return 0
237 elif type(self.content) in NUMTYPES:
238 return 1
239 return len(self.content)
240
241
242
243
244 class Group(object):
245 '''
246 Class that models a group of data. Every value (int, float, long, tuple
247 or list) passed is converted to a list of Data.
248 It can receive:
249 - A single number (int, float, long);
250 - A list of numbers;
251 - A tuple of numbers;
252 - An instance of Data;
253 - A list of Data;
254
255 Obs: If a tuple with 2 or 3 items is passed it is converted to a point.
256 If a tuple with only 1 item is passed it's converted to a number;
257 If a tuple with more than 2 items is passed it's converted to a
258 list of numbers
259 '''
260 def __init__(self, group=None, name=None, parent=None):
261 '''
262 Starts main atributes in Group instance.
263 @data_list - a list of data which forms the group;
264 @range - a range that represent the x axis of possible functions;
265 @name - name of the data group;
266 @parent - the Serie parent of this group.
267
268 Usage:
269 >>> g = Group(13, 'simple number'); print g
270 simple number ['13']
271 >>> g = Group((1,2), 'simple point'); print g
272 simple point ['(1, 2)']
273 >>> g = Group([1,2,3,4], 'list of numbers'); print g
274 list of numbers ['1', '2', '3', '4']
275 >>> g = Group((1,2,3,4),'int in tuple'); print g
276 int in tuple ['1', '2', '3', '4']
277 >>> g = Group([(1,2),(2,3),(3,4)], 'list of points'); print g
278 list of points ['(1, 2)', '(2, 3)', '(3, 4)']
279 >>> g = Group([[1,2,3],[1,2,3]], '2D coordinate lists'); print g
280 2D coordinated lists ['(1, 1)', '(2, 2)', '(3, 3)']
281 >>> g = Group([[1,2],[1,2],[1,2]], '3D coordinate lists'); print g
282 3D coordinated lists ['(1, 1, 1)', '(2, 2, 2)']
283 '''
284 # Initial values
285 self.__data_list = []
286 self.__range = []
287 self.__name = None
288
289
290 self.parent = parent
291 self.name = name
292 self.data_list = group
293
294 # Name property
295 @apply
296 def name():
297 doc = '''
298 Name is a read/write property that controls the input of name.
299 - If passed an invalid value it cleans the name with None
300
301 Usage:
302 >>> g = Group(13); g.name = 'name_test'; print g
303 name_test ['13']
304 >>> g.name = 11; print g
305 ['13']
306 >>> g.name = 'other_name'; print g
307 other_name ['13']
308 >>> g.name = None; print g
309 ['13']
310 >>> g.name = 'last_name'; print g
311 last_name ['13']
312 >>> g.name = ''; print g
313 ['13']
314 '''
315 def fget(self):
316 '''
317 Returns the name as a string
318 '''
319 return self.__name
320
321 def fset(self, name):
322 '''
323 Sets the name of the Group
324 '''
325 if type(name) in STRTYPES and len(name) > 0:
326 self.__name = name
327 else:
328 self.__name = None
329
330 return property(**locals())
331
332 # data_list property
333 @apply
334 def data_list():
335 doc = '''
336 The data_list is a read/write property that can be a list of
337 numbers, a list of points or a list of 2 or 3 coordinate lists. This
338 property uses mainly the self.add_data method.
339
340 Usage:
341 >>> g = Group(); g.data_list = 13; print g
342 ['13']
343 >>> g.data_list = (1,2); print g
344 ['(1, 2)']
345 >>> g.data_list = Data((1,2),'point a'); print g
346 ['point a: (1, 2)']
347 >>> g.data_list = [1,2,3]; print g
348 ['1', '2', '3']
349 >>> g.data_list = (1,2,3,4); print g
350 ['1', '2', '3', '4']
351 >>> g.data_list = [(1,2),(2,3),(3,4)]; print g
352 ['(1, 2)', '(2, 3)', '(3, 4)']
353 >>> g.data_list = [[1,2],[1,2]]; print g
354 ['(1, 1)', '(2, 2)']
355 >>> g.data_list = [[1,2],[1,2],[1,2]]; print g
356 ['(1, 1, 1)', '(2, 2, 2)']
357 >>> g.range = (10); g.data_list = lambda x:x**2; print g
358 ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 4.0)', '(3.0, 9.0)', '(4.0, 16.0)', '(5.0, 25.0)', '(6.0, 36.0)', '(7.0, 49.0)', '(8.0, 64.0)', '(9.0, 81.0)']
359 '''
360 def fget(self):
361 '''
362 Returns the value of data_list
363 '''
364 return self.__data_list
365
366 def fset(self, group):
367 '''
368 Ensures that group is valid.
369 '''
370 # None
371 if group is None:
372 self.__data_list = []
373
374 # Int/float/long or Instance of Data
375 elif type(group) in NUMTYPES or isinstance(group, Data):
376 # Clean data_list
377 self.__data_list = []
378 self.add_data(group)
379
380 # One point
381 elif type(group) is tuple and len(group) in (2,3):
382 self.__data_list = []
383 self.add_data(group)
384
385 # list of items
386 elif type(group) in LISTTYPES and type(group[0]) is not list:
387 # Clean data_list
388 self.__data_list = []
389 for item in group:
390 # try to append and catch an exception
391 self.add_data(item)
392
393 # function lambda
394 elif callable(group):
395 # Explicit is better than implicit
396 function = group
397 # Has range
398 if len(self.range) is not 0:
399 # Clean data_list
400 self.__data_list = []
401 # Generate values for the lambda function
402 for x in self.range:
403 #self.add_data((x,round(group(x),2)))
404 self.add_data((x,function(x)))
405
406 # Only have range in parent
407 elif self.parent is not None and len(self.parent.range) is not 0:
408 # Copy parent range
409 self.__range = self.parent.range[:]
410 # Clean data_list
411 self.__data_list = []
412 # Generate values for the lambda function
413 for x in self.range:
414 #self.add_data((x,round(group(x),2)))
415 self.add_data((x,function(x)))
416
417 # Don't have range anywhere
418 else:
419 # x_data don't exist
420 raise Exception, "Data argument is valid but to use function type please set x_range first"
421
422 # Coordinate Lists
423 elif type(group) in LISTTYPES and type(group[0]) is list:
424 # Clean data_list
425 self.__data_list = []
426 data = []
427 if len(group) == 3:
428 data = zip(group[0], group[1], group[2])
429 elif len(group) == 2:
430 data = zip(group[0], group[1])
431 else:
432 raise TypeError, "Only one list of coordinates was received."
433
434 for item in data:
435 self.add_data(item)
436
437 else:
438 raise TypeError, "Group type not supported"
439
440 return property(**locals())
441
442 @apply
443 def range():
444 doc = '''
445 The range is a read/write property that generates a range of values
446 for the x axis of the functions. When passed a tuple it almost works
447 like the built-in range funtion:
448 - 1 item, represent the end of the range started from 0;
449 - 2 items, represents the start and the end, respectively;
450 - 3 items, the last one represents the step;
451
452 When passed a list the range function understands as a valid range.
453
454 Usage:
455 >>> g = Group(); g.range = 10; print g.range
456 [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]
457 >>> g = Group(); g.range = (5); print g.range
458 [0.0, 1.0, 2.0, 3.0, 4.0]
459 >>> g = Group(); g.range = (1,7); print g.range
460 [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]
461 >>> g = Group(); g.range = (0,10,2); print g.range
462 [0.0, 2.0, 4.0, 6.0, 8.0]
463 >>>
464 >>> g = Group(); g.range = [0]; print g.range
465 [0.0]
466 >>> g = Group(); g.range = [0,10,20]; print g.range
467 [0.0, 10.0, 20.0]
468 '''
469 def fget(self):
470 '''
471 Returns the range
472 '''
473 return self.__range
474
475 def fset(self, x_range):
476 '''
477 Controls the input of a valid type and generate the range
478 '''
479 # if passed a simple number convert to tuple
480 if type(x_range) in NUMTYPES:
481 x_range = (x_range,)
482
483 # A list, just convert to float
484 if type(x_range) is list and len(x_range) > 0:
485 # Convert all to float
486 x_range = map(float, x_range)
487 # Prevents repeated values and convert back to list
488 self.__range = list(set(x_range[:]))
489 # Sort the list to ascending order
490 self.__range.sort()
491
492 # A tuple, must check the lengths and generate the values
493 elif type(x_range) is tuple and len(x_range) in (1,2,3):
494 # Convert all to float
495 x_range = map(float, x_range)
496
497 # Inital values
498 start = 0.0
499 step = 1.0
500 end = 0.0
501
502 # Only the end and it can't be less or iqual to 0
503 if len(x_range) is 1 and x_range > 0:
504 end = x_range[0]
505
506 # The start and the end but the start must be less then the end
507 elif len(x_range) is 2 and x_range[0] < x_range[1]:
508 start = x_range[0]
509 end = x_range[1]
510
511 # All 3, but the start must be less then the end
512 elif x_range[0] <= x_range[1]:
513 start = x_range[0]
514 end = x_range[1]
515 step = x_range[2]
516
517 # Starts the range
518 self.__range = []
519 # Generate the range
520 # Can't use the range function because it doesn't support float values
521 while start < end:
522 self.__range.append(start)
523 start += step
524
525 # Incorrect type
526 else:
527 raise Exception, "x_range must be a list with one or more items or a tuple with 2 or 3 items"
528
529 return property(**locals())
530
531 def add_data(self, data, name=None):
532 '''
533 Append a new data to the data_list.
534 - If data is an instance of Data, append it
535 - If it's an int, float, tuple or list create an instance of Data and append it
536
537 Usage:
538 >>> g = Group()
539 >>> g.add_data(12); print g
540 ['12']
541 >>> g.add_data(7,'other'); print g
542 ['12', 'other: 7']
543 >>>
544 >>> g = Group()
545 >>> g.add_data((1,1),'a'); print g
546 ['a: (1, 1)']
547 >>> g.add_data((2,2),'b'); print g
548 ['a: (1, 1)', 'b: (2, 2)']
549 >>>
550 >>> g.add_data(Data((1,2),'c')); print g
551 ['a: (1, 1)', 'b: (2, 2)', 'c: (1, 2)']
552 '''
553 if not isinstance(data, Data):
554 # Try to convert
555 data = Data(data,name,self)
556
557 if data.content is not None:
558 self.__data_list.append(data.copy())
559 self.__data_list[-1].parent = self
560
561
562 def to_list(self):
563 '''
564 Returns the group as a list of numbers (int, float or long) or a
565 list of tuples (points 2D or 3D).
566
567 Usage:
568 >>> g = Group([1,2,3,4],'g1'); g.to_list()
569 [1, 2, 3, 4]
570 >>> g = Group([(1,2),(2,3),(3,4)],'g2'); g.to_list()
571 [(1, 2), (2, 3), (3, 4)]
572 >>> g = Group([(1,2,3),(3,4,5)],'g2'); g.to_list()
573 [(1, 2, 3), (3, 4, 5)]
574 '''
575 return [data.content for data in self]
576
577 def copy(self):
578 '''
579 Returns a copy of this group
580 '''
581 new_group = Group()
582 new_group.__name = self.__name
583 if self.__range is not None:
584 new_group.__range = self.__range[:]
585 for data in self:
586 new_group.add_data(data.copy())
587 return new_group
588
589 def get_names(self):
590 '''
591 Return a list with the names of all data in this group
592 '''
593 names = []
594 for data in self:
595 if data.name is None:
596 names.append('Data '+str(data.index()+1))
597 else:
598 names.append(data.name)
599 return names
600
601
602 def __str__ (self):
603 '''
604 Returns a string representing the Group
605 '''
606 ret = ""
607 if self.name is not None:
608 ret += self.name + " "
609 if len(self) > 0:
610 list_str = [str(item) for item in self]
611 ret += str(list_str)
612 else:
613 ret += "[]"
614 return ret
615
616 def __getitem__(self, key):
617 '''
618 Makes a Group iterable, based in the data_list property
619 '''
620 return self.data_list[key]
621
622 def __len__(self):
623 '''
624 Returns the length of the Group, based in the data_list property
625 '''
626 return len(self.data_list)
627
628
629 class Colors(object):
630 '''
631 Class that models the colors its labels (names) and its properties, RGB
632 and filling type.
633
634 It can receive:
635 - A list where each item is a list with 3 or 4 items. The
636 first 3 items represent the RGB values and the last argument
637 defines the filling type. The list will be converted to a dict
638 and each color will receve a name based in its position in the
639 list.
640 - A dictionary where each key will be the color name and its item
641 can be a list with 3 or 4 items. The first 3 items represent
642 the RGB colors and the last argument defines the filling type.
643 '''
644 def __init__(self, color_list=None):
645 '''
646 Start the color_list property
647 @ color_list - the list or dict contaning the colors properties.
648 '''
649 self.__color_list = None
650
651 self.color_list = color_list
652
653 @apply
654 def color_list():
655 doc = '''
656 >>> c = Colors([[1,1,1],[2,2,2,'linear'],[3,3,3,'gradient']])
657 >>> print c.color_list
658 {'Color 2': [2, 2, 2, 'linear'], 'Color 3': [3, 3, 3, 'gradient'], 'Color 1': [1, 1, 1, 'solid']}
659 >>> c.color_list = [[1,1,1],(2,2,2,'solid'),(3,3,3,'linear')]
660 >>> print c.color_list
661 {'Color 2': [2, 2, 2, 'solid'], 'Color 3': [3, 3, 3, 'linear'], 'Color 1': [1, 1, 1, 'solid']}
662 >>> c.color_list = {'a':[1,1,1],'b':(2,2,2,'solid'),'c':(3,3,3,'linear'), 'd':(4,4,4)}
663 >>> print c.color_list
664 {'a': [1, 1, 1, 'solid'], 'c': [3, 3, 3, 'linear'], 'b': [2, 2, 2, 'solid'], 'd': [4, 4, 4, 'solid']}
665 '''
666 def fget(self):
667 '''
668 Return the color list
669 '''
670 return self.__color_list
671
672 def fset(self, color_list):
673 '''
674 Format the color list to a dictionary
675 '''
676 if color_list is None:
677 self.__color_list = None
678 return
679
680 if type(color_list) in LISTTYPES and type(color_list[0]) in LISTTYPES:
681 old_color_list = color_list[:]
682 color_list = {}
683 for index, color in enumerate(old_color_list):
684 if len(color) is 3 and max(map(type, color)) in NUMTYPES:
685 color_list['Color '+str(index+1)] = list(color)+[DEFAULT_COLOR_FILLING]
686 elif len(color) is 4 and max(map(type, color[:-1])) in NUMTYPES and color[-1] in FILLING_TYPES:
687 color_list['Color '+str(index+1)] = list(color)
688 else:
689 raise TypeError, "Unsuported color format"
690 elif type(color_list) is not dict:
691 raise TypeError, "Unsuported color format"
692
693 for name, color in color_list.items():
694 if len(color) is 3:
695 if max(map(type, color)) in NUMTYPES:
696 color_list[name] = list(color)+[DEFAULT_COLOR_FILLING]
697 else:
698 raise TypeError, "Unsuported color format"
699 elif len(color) is 4:
700 if max(map(type, color[:-1])) in NUMTYPES and color[-1] in FILLING_TYPES:
701 color_list[name] = list(color)
702 else:
703 raise TypeError, "Unsuported color format"
704 self.__color_list = color_list.copy()
705
706 return property(**locals())
707
708
709 class Series(object):
710 '''
711 Class that models a Series (group of groups). Every value (int, float,
712 long, tuple or list) passed is converted to a list of Group or Data.
713 It can receive:
714 - a single number or point, will be converted to a Group of one Data;
715 - a list of numbers, will be converted to a group of numbers;
716 - a list of tuples, will converted to a single Group of points;
717 - a list of lists of numbers, each 'sublist' will be converted to a
718 group of numbers;
719 - a list of lists of tuples, each 'sublist' will be converted to a
720 group of points;
721 - a list of lists of lists, the content of the 'sublist' will be
722 processed as coordinated lists and the result will be converted to
723 a group of points;
724 - a Dictionary where each item can be the same of the list: number,
725 point, list of numbers, list of points or list of lists (coordinated
726 lists);
727 - an instance of Data;
728 - an instance of group.
729 '''
730 def __init__(self, series=None, name=None, property=[], colors=None):
731 '''
732 Starts main atributes in Group instance.
733 @series - a list, dict of data of which the series is composed;
734 @name - name of the series;
735 @property - a list/dict of properties to be used in the plots of
736 this Series
737
738 Usage:
739 >>> print Series([1,2,3,4])
740 ["Group 1 ['1', '2', '3', '4']"]
741 >>> print Series([[1,2,3],[4,5,6]])
742 ["Group 1 ['1', '2', '3']", "Group 2 ['4', '5', '6']"]
743 >>> print Series((1,2))
744 ["Group 1 ['(1, 2)']"]
745 >>> print Series([(1,2),(2,3)])
746 ["Group 1 ['(1, 2)', '(2, 3)']"]
747 >>> print Series([[(1,2),(2,3)],[(4,5),(5,6)]])
748 ["Group 1 ['(1, 2)', '(2, 3)']", "Group 2 ['(4, 5)', '(5, 6)']"]
749 >>> print Series([[[1,2,3],[1,2,3],[1,2,3]]])
750 ["Group 1 ['(1, 1, 1)', '(2, 2, 2)', '(3, 3, 3)']"]
751 >>> print Series({'g1':[1,2,3], 'g2':[4,5,6]})
752 ["g1 ['1', '2', '3']", "g2 ['4', '5', '6']"]
753 >>> print Series({'g1':[(1,2),(2,3)], 'g2':[(4,5),(5,6)]})
754 ["g1 ['(1, 2)', '(2, 3)']", "g2 ['(4, 5)', '(5, 6)']"]
755 >>> print Series({'g1':[[1,2],[1,2]], 'g2':[[4,5],[4,5]]})
756 ["g1 ['(1, 1)', '(2, 2)']", "g2 ['(4, 4)', '(5, 5)']"]
757 >>> print Series(Data(1,'d1'))
758 ["Group 1 ['d1: 1']"]
759 >>> print Series(Group([(1,2),(2,3)],'g1'))
760 ["g1 ['(1, 2)', '(2, 3)']"]
761 '''
762 # Intial values
763 self.__group_list = []
764 self.__name = None
765 self.__range = None
766
767 # TODO: Implement colors with filling
768 self.__colors = None
769
770 self.name = name
771 self.group_list = series
772 self.colors = colors
773
774 # Name property
775 @apply
776 def name():
777 doc = '''
778 Name is a read/write property that controls the input of name.
779 - If passed an invalid value it cleans the name with None
780
781 Usage:
782 >>> s = Series(13); s.name = 'name_test'; print s
783 name_test ["Group 1 ['13']"]
784 >>> s.name = 11; print s
785 ["Group 1 ['13']"]
786 >>> s.name = 'other_name'; print s
787 other_name ["Group 1 ['13']"]
788 >>> s.name = None; print s
789 ["Group 1 ['13']"]
790 >>> s.name = 'last_name'; print s
791 last_name ["Group 1 ['13']"]
792 >>> s.name = ''; print s
793 ["Group 1 ['13']"]
794 '''
795 def fget(self):
796 '''
797 Returns the name as a string
798 '''
799 return self.__name
800
801 def fset(self, name):
802 '''
803 Sets the name of the Group
804 '''
805 if type(name) in STRTYPES and len(name) > 0:
806 self.__name = name
807 else:
808 self.__name = None
809
810 return property(**locals())
811
812
813
814 # Colors property
815 @apply
816 def colors():
817 doc = '''
818 >>> s = Series()
819 >>> s.colors = [[1,1,1],[2,2,2,'linear'],[3,3,3,'gradient']]
820 >>> print s.colors
821 {'Color 2': [2, 2, 2, 'linear'], 'Color 3': [3, 3, 3, 'gradient'], 'Color 1': [1, 1, 1, 'solid']}
822 >>> s.colors = [[1,1,1],(2,2,2,'solid'),(3,3,3,'linear')]
823 >>> print s.colors
824 {'Color 2': [2, 2, 2, 'solid'], 'Color 3': [3, 3, 3, 'linear'], 'Color 1': [1, 1, 1, 'solid']}
825 >>> s.colors = {'a':[1,1,1],'b':(2,2,2,'solid'),'c':(3,3,3,'linear'), 'd':(4,4,4)}
826 >>> print s.colors
827 {'a': [1, 1, 1, 'solid'], 'c': [3, 3, 3, 'linear'], 'b': [2, 2, 2, 'solid'], 'd': [4, 4, 4, 'solid']}
828 '''
829 def fget(self):
830 '''
831 Return the color list
832 '''
833 return self.__colors.color_list
834
835 def fset(self, colors):
836 '''
837 Format the color list to a dictionary
838 '''
839 self.__colors = Colors(colors)
840
841 return property(**locals())
842
843 @apply
844 def range():
845 doc = '''
846 The range is a read/write property that generates a range of values
847 for the x axis of the functions. When passed a tuple it almost works
848 like the built-in range funtion:
849 - 1 item, represent the end of the range started from 0;
850 - 2 items, represents the start and the end, respectively;
851 - 3 items, the last one represents the step;
852
853 When passed a list the range function understands as a valid range.
854
855 Usage:
856 >>> s = Series(); s.range = 10; print s.range
857 [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0]
858 >>> s = Series(); s.range = (5); print s.range
859 [0.0, 1.0, 2.0, 3.0, 4.0, 5.0]
860 >>> s = Series(); s.range = (1,7); print s.range
861 [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0]
862 >>> s = Series(); s.range = (0,10,2); print s.range
863 [0.0, 2.0, 4.0, 6.0, 8.0, 10.0]
864 >>>
865 >>> s = Series(); s.range = [0]; print s.range
866 [0.0]
867 >>> s = Series(); s.range = [0,10,20]; print s.range
868 [0.0, 10.0, 20.0]
869 '''
870 def fget(self):
871 '''
872 Returns the range
873 '''
874 return self.__range
875
876 def fset(self, x_range):
877 '''
878 Controls the input of a valid type and generate the range
879 '''
880 # if passed a simple number convert to tuple
881 if type(x_range) in NUMTYPES:
882 x_range = (x_range,)
883
884 # A list, just convert to float
885 if type(x_range) is list and len(x_range) > 0:
886 # Convert all to float
887 x_range = map(float, x_range)
888 # Prevents repeated values and convert back to list
889 self.__range = list(set(x_range[:]))
890 # Sort the list to ascending order
891 self.__range.sort()
892
893 # A tuple, must check the lengths and generate the values
894 elif type(x_range) is tuple and len(x_range) in (1,2,3):
895 # Convert all to float
896 x_range = map(float, x_range)
897
898 # Inital values
899 start = 0.0
900 step = 1.0
901 end = 0.0
902
903 # Only the end and it can't be less or iqual to 0
904 if len(x_range) is 1 and x_range > 0:
905 end = x_range[0]
906
907 # The start and the end but the start must be lesser then the end
908 elif len(x_range) is 2 and x_range[0] < x_range[1]:
909 start = x_range[0]
910 end = x_range[1]
911
912 # All 3, but the start must be lesser then the end
913 elif x_range[0] < x_range[1]:
914 start = x_range[0]
915 end = x_range[1]
916 step = x_range[2]
917
918 # Starts the range
919 self.__range = []
920 # Generate the range
921 # Cnat use the range function becouse it don't suport float values
922 while start <= end:
923 self.__range.append(start)
924 start += step
925
926 # Incorrect type
927 else:
928 raise Exception, "x_range must be a list with one or more item or a tuple with 2 or 3 items"
929
930 return property(**locals())
931
932 @apply
933 def group_list():
934 doc = '''
935 The group_list is a read/write property used to pre-process the list
936 of Groups.
937 It can be:
938 - a single number, point or lambda, will be converted to a single
939 Group of one Data;
940 - a list of numbers, will be converted to a group of numbers;
941 - a list of tuples, will converted to a single Group of points;
942 - a list of lists of numbers, each 'sublist' will be converted to
943 a group of numbers;
944 - a list of lists of tuples, each 'sublist' will be converted to a
945 group of points;
946 - a list of lists of lists, the content of the 'sublist' will be
947 processed as coordinated lists and the result will be converted
948 to a group of points;
949 - a list of lambdas, each lambda represents a Group;
950 - a Dictionary where each item can be the same of the list: number,
951 point, list of numbers, list of points, list of lists
952 (coordinated lists) or lambdas
953 - an instance of Data;
954 - an instance of group.
955
956 Usage:
957 >>> s = Series()
958 >>> s.group_list = [1,2,3,4]; print s
959 ["Group 1 ['1', '2', '3', '4']"]
960 >>> s.group_list = [[1,2,3],[4,5,6]]; print s
961 ["Group 1 ['1', '2', '3']", "Group 2 ['4', '5', '6']"]
962 >>> s.group_list = (1,2); print s
963 ["Group 1 ['(1, 2)']"]
964 >>> s.group_list = [(1,2),(2,3)]; print s
965 ["Group 1 ['(1, 2)', '(2, 3)']"]
966 >>> s.group_list = [[(1,2),(2,3)],[(4,5),(5,6)]]; print s
967 ["Group 1 ['(1, 2)', '(2, 3)']", "Group 2 ['(4, 5)', '(5, 6)']"]
968 >>> s.group_list = [[[1,2,3],[1,2,3],[1,2,3]]]; print s
969 ["Group 1 ['(1, 1, 1)', '(2, 2, 2)', '(3, 3, 3)']"]
970 >>> s.group_list = [(0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,9)]; print s
971 ["Group 1 ['(0.5, 5.5)']", "Group 2 ['(0, 4)', '(6, 8)']", "Group 3 ['(5.5, 7)']", "Group 4 ['(7, 9)']"]
972 >>> s.group_list = {'g1':[1,2,3], 'g2':[4,5,6]}; print s
973 ["g1 ['1', '2', '3']", "g2 ['4', '5', '6']"]
974 >>> s.group_list = {'g1':[(1,2),(2,3)], 'g2':[(4,5),(5,6)]}; print s
975 ["g1 ['(1, 2)', '(2, 3)']", "g2 ['(4, 5)', '(5, 6)']"]
976 >>> s.group_list = {'g1':[[1,2],[1,2]], 'g2':[[4,5],[4,5]]}; print s
977 ["g1 ['(1, 1)', '(2, 2)']", "g2 ['(4, 4)', '(5, 5)']"]
978 >>> s.range = 10
979 >>> s.group_list = lambda x:x*2
980 >>> s.group_list = [lambda x:x*2, lambda x:x**2, lambda x:x**3]; print s
981 ["Group 1 ['(0.0, 0.0)', '(1.0, 2.0)', '(2.0, 4.0)', '(3.0, 6.0)', '(4.0, 8.0)', '(5.0, 10.0)', '(6.0, 12.0)', '(7.0, 14.0)', '(8.0, 16.0)', '(9.0, 18.0)', '(10.0, 20.0)']", "Group 2 ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 4.0)', '(3.0, 9.0)', '(4.0, 16.0)', '(5.0, 25.0)', '(6.0, 36.0)', '(7.0, 49.0)', '(8.0, 64.0)', '(9.0, 81.0)', '(10.0, 100.0)']", "Group 3 ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 8.0)', '(3.0, 27.0)', '(4.0, 64.0)', '(5.0, 125.0)', '(6.0, 216.0)', '(7.0, 343.0)', '(8.0, 512.0)', '(9.0, 729.0)', '(10.0, 1000.0)']"]
982 >>> s.group_list = {'linear':lambda x:x*2, 'square':lambda x:x**2, 'cubic':lambda x:x**3}; print s
983 ["cubic ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 8.0)', '(3.0, 27.0)', '(4.0, 64.0)', '(5.0, 125.0)', '(6.0, 216.0)', '(7.0, 343.0)', '(8.0, 512.0)', '(9.0, 729.0)', '(10.0, 1000.0)']", "linear ['(0.0, 0.0)', '(1.0, 2.0)', '(2.0, 4.0)', '(3.0, 6.0)', '(4.0, 8.0)', '(5.0, 10.0)', '(6.0, 12.0)', '(7.0, 14.0)', '(8.0, 16.0)', '(9.0, 18.0)', '(10.0, 20.0)']", "square ['(0.0, 0.0)', '(1.0, 1.0)', '(2.0, 4.0)', '(3.0, 9.0)', '(4.0, 16.0)', '(5.0, 25.0)', '(6.0, 36.0)', '(7.0, 49.0)', '(8.0, 64.0)', '(9.0, 81.0)', '(10.0, 100.0)']"]
984 >>> s.group_list = Data(1,'d1'); print s
985 ["Group 1 ['d1: 1']"]
986 >>> s.group_list = Group([(1,2),(2,3)],'g1'); print s
987 ["g1 ['(1, 2)', '(2, 3)']"]
988 '''
989 def fget(self):
990 '''
991 Return the group list.
992 '''
993 return self.__group_list
994
995 def fset(self, series):
996 '''
997 Controls the input of a valid group list.
998 '''
999 #TODO: Add support to the following strem of data: [ (0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,9)]
1000
1001 # Type: None
1002 if series is None:
1003 self.__group_list = []
1004
1005 # List or Tuple
1006 elif type(series) in LISTTYPES:
1007 self.__group_list = []
1008
1009 is_function = lambda x: callable(x)
1010 # Groups
1011 if list in map(type, series) or max(map(is_function, series)):
1012 for group in series:
1013 self.add_group(group)
1014
1015 # single group
1016 else:
1017 self.add_group(series)
1018
1019 #old code
1020 ## List of numbers
1021 #if type(series[0]) in NUMTYPES or type(series[0]) is tuple:
1022 # print series
1023 # self.add_group(series)
1024 #
1025 ## List of anything else
1026 #else:
1027 # for group in series:
1028 # self.add_group(group)
1029
1030 # Dict representing series of groups
1031 elif type(series) is dict:
1032 self.__group_list = []
1033 names = series.keys()
1034 names.sort()
1035 for name in names:
1036 self.add_group(Group(series[name],name,self))
1037
1038 # A single lambda
1039 elif callable(series):
1040 self.__group_list = []
1041 self.add_group(series)
1042
1043 # Int/float, instance of Group or Data
1044 elif type(series) in NUMTYPES or isinstance(series, Group) or isinstance(series, Data):
1045 self.__group_list = []
1046 self.add_group(series)
1047
1048 # Default
1049 else:
1050 raise TypeError, "Serie type not supported"
1051
1052 return property(**locals())
1053
1054 def add_group(self, group, name=None):
1055 '''
1056 Append a new group in group_list
1057 '''
1058 if not isinstance(group, Group):
1059 #Try to convert
1060 group = Group(group, name, self)
1061
1062 if len(group.data_list) is not 0:
1063 # Auto naming groups
1064 if group.name is None:
1065 group.name = "Group "+str(len(self.__group_list)+1)
1066
1067 self.__group_list.append(group)
1068 self.__group_list[-1].parent = self
1069
1070 def copy(self):
1071 '''
1072 Returns a copy of the Series
1073 '''
1074 new_series = Series()
1075 new_series.__name = self.__name
1076 if self.__range is not None:
1077 new_series.__range = self.__range[:]
1078 #Add color property in the copy method
1079 #self.__colors = None
1080
1081 for group in self:
1082 new_series.add_group(group.copy())
1083
1084 return new_series
1085
1086 def get_names(self):
1087 '''
1088 Returns a list of the names of all groups in the Serie
1089 '''
1090 names = []
1091 for group in self:
1092 if group.name is None:
1093 names.append('Group '+str(group.index()+1))
1094 else:
1095 names.append(group.name)
1096
1097 return names
1098
1099 def to_list(self):
1100 '''
1101 Returns a list with the content of all groups and data
1102 '''
1103 big_list = []
1104 for group in self:
1105 for data in group:
1106 if type(data.content) in NUMTYPES:
1107 big_list.append(data.content)
1108 else:
1109 big_list = big_list + list(data.content)
1110 return big_list
1111
1112 def __getitem__(self, key):
1113 '''
1114 Makes the Series iterable, based in the group_list property
1115 '''
1116 return self.__group_list[key]
1117
1118 def __str__(self):
1119 '''
1120 Returns a string that represents the Series
1121 '''
1122 ret = ""
1123 if self.name is not None:
1124 ret += self.name + " "
1125 if len(self) > 0:
1126 list_str = [str(item) for item in self]
1127 ret += str(list_str)
1128 else:
1129 ret += "[]"
1130 return ret
1131
1132 def __len__(self):
1133 '''
1134 Returns the length of the Series, based in the group_lsit property
1135 '''
1136 return len(self.group_list)
1137
1138
1139 if __name__ == '__main__':
1140 doctest.testmod()
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