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Diffstat (limited to 'thirdparty/cairoplot-trunk/trunk/cairoplot/series.py')
| -rwxr-xr-x | thirdparty/cairoplot-trunk/trunk/cairoplot/series.py | 1140 |
1 files changed, 0 insertions, 1140 deletions
diff --git a/thirdparty/cairoplot-trunk/trunk/cairoplot/series.py b/thirdparty/cairoplot-trunk/trunk/cairoplot/series.py deleted file mode 100755 index 79fee2f..0000000 --- a/thirdparty/cairoplot-trunk/trunk/cairoplot/series.py +++ /dev/null @@ -1,1140 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- - -# Serie.py -# -# Copyright (c) 2008 Magnun Leno da Silva -# -# Author: Magnun Leno da Silva <magnun.leno@gmail.com> -# -# This program is free software; you can redistribute it and/or -# modify it under the terms of the GNU Lesser General Public License -# as published by the Free Software Foundation; either version 2 of -# the License, or (at your option) any later version. -# -# This program is distributed in the hope that it will be useful, -# but WITHOUT ANY WARRANTY; without even the implied warranty of -# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -# GNU General Public License for more details. -# -# You should have received a copy of the GNU Lesser General Public -# License along with this program; if not, write to the Free Software -# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 -# USA - -# Contributor: Rodrigo Moreiro Araujo <alf.rodrigo@gmail.com> - -#import cairoplot -import doctest - -NUMTYPES = (int, float, long) -LISTTYPES = (list, tuple) -STRTYPES = (str, unicode) -FILLING_TYPES = ['linear', 'solid', 'gradient'] -DEFAULT_COLOR_FILLING = 'solid' -#TODO: Define default color list -DEFAULT_COLOR_LIST = None - -class Data(object): - """ - Class that models the main data structure. - It can hold: - - a number type (int, float or long) - - a tuple, witch represents a point and can have 2 or 3 items (x,y,z) - - if a list is passed it will be converted to a tuple. - - obs: In case a tuple is passed it will convert to tuple - """ - def __init__(self, data=None, name=None, parent=None): - """ - Starts main atributes from the Data class - @name - Name for each point; - @content - The real data, can be an int, float, long or tuple, which - represents a point (x,y) or (x,y,z); - @parent - A pointer that give the data access to it's parent. - - Usage: - >>> d = Data(name='empty'); print d - empty: () - >>> d = Data((1,1),'point a'); print d - point a: (1, 1) - >>> d = Data((1,2,3),'point b'); print d - point b: (1, 2, 3) - >>> d = Data([2,3],'point c'); print d - point c: (2, 3) - >>> d = Data(12, 'simple value'); print d - simple value: 12 - """ - # Initial values - self.__content = None - self.__name = None - - # Setting passed values - self.parent = parent - self.name = name - self.content = data - - # Name property - @apply - def name(): - doc = """ - Name is a read/write property that controls the input of name. - - If passed an invalid value it cleans the name with None - - Usage: - >>> d = Data(13); d.name = 'name_test'; print d - name_test: 13 - >>> d.name = 11; print d - 13 - >>> d.name = 'other_name'; print d - other_name: 13 - >>> d.name = None; print d - 13 - >>> d.name = 'last_name'; print d - last_name: 13 - >>> d.name = ''; print d - 13 - """ - def fget(self): - """ - returns the name as a string - """ - return self.__name - - def fset(self, name): - """ - Sets the name of the Data - """ - if type(name) in STRTYPES and len(name) > 0: - self.__name = name - else: - self.__name = None - - - - return property(**locals()) - - # Content property - @apply - def content(): - doc = """ - Content is a read/write property that validate the data passed - and return it. - - Usage: - >>> d = Data(); d.content = 13; d.content - 13 - >>> d = Data(); d.content = (1,2); d.content - (1, 2) - >>> d = Data(); d.content = (1,2,3); d.content - (1, 2, 3) - >>> d = Data(); d.content = [1,2,3]; d.content - (1, 2, 3) - >>> d = Data(); d.content = [1.5,.2,3.3]; d.content - (1.5, 0.20000000000000001, 3.2999999999999998) - """ - def fget(self): - """ - Return the content of Data - """ - return self.__content - - def fset(self, data): - """ - Ensures that data is a valid tuple/list or a number (int, float - or long) - """ - # Type: None - if data is None: - self.__content = None - return - - # Type: Int or Float - elif type(data) in NUMTYPES: - self.__content = data - - # Type: List or Tuple - elif type(data) in LISTTYPES: - # Ensures the correct size - if len(data) not in (2, 3): - raise TypeError, "Data (as list/tuple) must have 2 or 3 items" - return - - # Ensures that all items in list/tuple is a number - isnum = lambda x : type(x) not in NUMTYPES - - if max(map(isnum, data)): - # An item in data isn't an int or a float - raise TypeError, "All content of data must be a number (int or float)" - - # Convert the tuple to list - if type(data) is list: - data = tuple(data) - - # Append a copy and sets the type - self.__content = data[:] - - # Unknown type! - else: - self.__content = None - raise TypeError, "Data must be an int, float or a tuple with two or three items" - return - - return property(**locals()) - - - def clear(self): - """ - Clear the all Data (content, name and parent) - """ - self.content = None - self.name = None - self.parent = None - - def copy(self): - """ - Returns a copy of the Data structure - """ - # The copy - new_data = Data() - if self.content is not None: - # If content is a point - if type(self.content) is tuple: - new_data.__content = self.content[:] - - # If content is a number - else: - new_data.__content = self.content - - # If it has a name - if self.name is not None: - new_data.__name = self.name - - return new_data - - def __str__(self): - """ - Return a string representation of the Data structure - """ - if self.name is None: - if self.content is None: - return '' - return str(self.content) - else: - if self.content is None: - return self.name+": ()" - return self.name+": "+str(self.content) - - def __len__(self): - """ - Return the length of the Data. - - If it's a number return 1; - - If it's a list return it's length; - - If its None return 0. - """ - if self.content is None: - return 0 - elif type(self.content) in NUMTYPES: - return 1 - return len(self.content) - - - - -class Group(object): - """ - Class that models a group of data. Every value (int, float, long, tuple - or list) passed is converted to a list of Data. - It can receive: - - A single number (int, float, long); - - A list of numbers; - - A tuple of numbers; - - An instance of Data; - - A list of Data; - - Obs: If a tuple with 2 or 3 items is passed it is converted to a point. - If a tuple with only 1 item is passed it's converted to a number; - If a tuple with more than 2 items is passed it's converted to a - list of numbers - """ - def __init__(self, group=None, name=None, parent=None): - """ - Starts main atributes in Group instance. - @data_list - a list of data which forms the group; - @range - a range that represent the x axis of possible functions; - @name - name of the data group; - @parent - the Serie parent of this group. - - Usage: - >>> g = Group(13, 'simple number'); print g - simple number ['13'] - >>> g = Group((1,2), 'simple point'); print g - simple point ['(1, 2)'] - >>> g = Group([1,2,3,4], 'list of numbers'); print g - list of numbers ['1', '2', '3', '4'] - >>> g = Group((1,2,3,4),'int in tuple'); print g - int in tuple ['1', '2', '3', '4'] - >>> g = Group([(1,2),(2,3),(3,4)], 'list of points'); print g - list of points ['(1, 2)', '(2, 3)', '(3, 4)'] - >>> g = Group([[1,2,3],[1,2,3]], '2D coordinate lists'); print g - 2D coordinated lists ['(1, 1)', '(2, 2)', '(3, 3)'] - >>> g = Group([[1,2],[1,2],[1,2]], '3D coordinate lists'); print g - 3D coordinated lists ['(1, 1, 1)', '(2, 2, 2)'] - """ - # Initial values - self.__data_list = [] - self.__range = [] - self.__name = None - - - self.parent = parent - self.name = name - self.data_list = group - - # Name property - @apply - def name(): - doc = """ - Name is a read/write property that controls the input of name. - - If passed an invalid value it cleans the name with None - - Usage: - >>> g = Group(13); g.name = 'name_test'; print g - name_test ['13'] - >>> g.name = 11; print g - ['13'] - >>> g.name = 'other_name'; print g - other_name ['13'] - >>> g.name = None; print g - ['13'] - >>> g.name = 'last_name'; print g - last_name ['13'] - >>> g.name = ''; print g - ['13'] - """ - def fget(self): - """ - Returns the name as a string - """ - return self.__name - - def fset(self, name): - """ - Sets the name of the Group - """ - if type(name) in STRTYPES and len(name) > 0: - self.__name = name - else: - self.__name = None - - return property(**locals()) - - # data_list property - @apply - def data_list(): - doc = """ - The data_list is a read/write property that can be a list of - numbers, a list of points or a list of 2 or 3 coordinate lists. This - property uses mainly the self.add_data method. - - Usage: - >>> g = Group(); g.data_list = 13; print g - ['13'] - >>> g.data_list = (1,2); print g - ['(1, 2)'] - >>> g.data_list = Data((1,2),'point a'); print g - ['point a: (1, 2)'] - >>> g.data_list = [1,2,3]; print g - ['1', '2', '3'] - >>> g.data_list = (1,2,3,4); print g - ['1', '2', '3', '4'] - >>> g.data_list = [(1,2),(2,3),(3,4)]; print g - ['(1, 2)', '(2, 3)', '(3, 4)'] - >>> g.data_list = [[1,2],[1,2]]; print g - ['(1, 1)', '(2, 2)'] - >>> g.data_list = [[1,2],[1,2],[1,2]]; print g - ['(1, 1, 1)', '(2, 2, 2)'] - >>> g.range = (10); g.data_list = lambda x:x**2; print g - ['(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)'] - """ - def fget(self): - """ - Returns the value of data_list - """ - return self.__data_list - - def fset(self, group): - """ - Ensures that group is valid. - """ - # None - if group is None: - self.__data_list = [] - - # Int/float/long or Instance of Data - elif type(group) in NUMTYPES or isinstance(group, Data): - # Clean data_list - self.__data_list = [] - self.add_data(group) - - # One point - elif type(group) is tuple and len(group) in (2,3): - self.__data_list = [] - self.add_data(group) - - # list of items - elif type(group) in LISTTYPES and type(group[0]) is not list: - # Clean data_list - self.__data_list = [] - for item in group: - # try to append and catch an exception - self.add_data(item) - - # function lambda - elif callable(group): - # Explicit is better than implicit - function = group - # Has range - if len(self.range) is not 0: - # Clean data_list - self.__data_list = [] - # Generate values for the lambda function - for x in self.range: - #self.add_data((x,round(group(x),2))) - self.add_data((x,function(x))) - - # Only have range in parent - elif self.parent is not None and len(self.parent.range) is not 0: - # Copy parent range - self.__range = self.parent.range[:] - # Clean data_list - self.__data_list = [] - # Generate values for the lambda function - for x in self.range: - #self.add_data((x,round(group(x),2))) - self.add_data((x,function(x))) - - # Don't have range anywhere - else: - # x_data don't exist - raise Exception, "Data argument is valid but to use function type please set x_range first" - - # Coordinate Lists - elif type(group) in LISTTYPES and type(group[0]) is list: - # Clean data_list - self.__data_list = [] - data = [] - if len(group) == 3: - data = zip(group[0], group[1], group[2]) - elif len(group) == 2: - data = zip(group[0], group[1]) - else: - raise TypeError, "Only one list of coordinates was received." - - for item in data: - self.add_data(item) - - else: - raise TypeError, "Group type not supported" - - return property(**locals()) - - @apply - def range(): - doc = """ - The range is a read/write property that generates a range of values - for the x axis of the functions. When passed a tuple it almost works - like the built-in range funtion: - - 1 item, represent the end of the range started from 0; - - 2 items, represents the start and the end, respectively; - - 3 items, the last one represents the step; - - When passed a list the range function understands as a valid range. - - Usage: - >>> g = Group(); g.range = 10; print g.range - [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] - >>> g = Group(); g.range = (5); print g.range - [0.0, 1.0, 2.0, 3.0, 4.0] - >>> g = Group(); g.range = (1,7); print g.range - [1.0, 2.0, 3.0, 4.0, 5.0, 6.0] - >>> g = Group(); g.range = (0,10,2); print g.range - [0.0, 2.0, 4.0, 6.0, 8.0] - >>> - >>> g = Group(); g.range = [0]; print g.range - [0.0] - >>> g = Group(); g.range = [0,10,20]; print g.range - [0.0, 10.0, 20.0] - """ - def fget(self): - """ - Returns the range - """ - return self.__range - - def fset(self, x_range): - """ - Controls the input of a valid type and generate the range - """ - # if passed a simple number convert to tuple - if type(x_range) in NUMTYPES: - x_range = (x_range,) - - # A list, just convert to float - if type(x_range) is list and len(x_range) > 0: - # Convert all to float - x_range = map(float, x_range) - # Prevents repeated values and convert back to list - self.__range = list(set(x_range[:])) - # Sort the list to ascending order - self.__range.sort() - - # A tuple, must check the lengths and generate the values - elif type(x_range) is tuple and len(x_range) in (1,2,3): - # Convert all to float - x_range = map(float, x_range) - - # Inital values - start = 0.0 - step = 1.0 - end = 0.0 - - # Only the end and it can't be less or iqual to 0 - if len(x_range) is 1 and x_range > 0: - end = x_range[0] - - # The start and the end but the start must be less then the end - elif len(x_range) is 2 and x_range[0] < x_range[1]: - start = x_range[0] - end = x_range[1] - - # All 3, but the start must be less then the end - elif x_range[0] <= x_range[1]: - start = x_range[0] - end = x_range[1] - step = x_range[2] - - # Starts the range - self.__range = [] - # Generate the range - # Can't use the range function because it doesn't support float values - while start < end: - self.__range.append(start) - start += step - - # Incorrect type - else: - raise Exception, "x_range must be a list with one or more items or a tuple with 2 or 3 items" - - return property(**locals()) - - def add_data(self, data, name=None): - """ - Append a new data to the data_list. - - If data is an instance of Data, append it - - If it's an int, float, tuple or list create an instance of Data and append it - - Usage: - >>> g = Group() - >>> g.add_data(12); print g - ['12'] - >>> g.add_data(7,'other'); print g - ['12', 'other: 7'] - >>> - >>> g = Group() - >>> g.add_data((1,1),'a'); print g - ['a: (1, 1)'] - >>> g.add_data((2,2),'b'); print g - ['a: (1, 1)', 'b: (2, 2)'] - >>> - >>> g.add_data(Data((1,2),'c')); print g - ['a: (1, 1)', 'b: (2, 2)', 'c: (1, 2)'] - """ - if not isinstance(data, Data): - # Try to convert - data = Data(data,name,self) - - if data.content is not None: - self.__data_list.append(data.copy()) - self.__data_list[-1].parent = self - - - def to_list(self): - """ - Returns the group as a list of numbers (int, float or long) or a - list of tuples (points 2D or 3D). - - Usage: - >>> g = Group([1,2,3,4],'g1'); g.to_list() - [1, 2, 3, 4] - >>> g = Group([(1,2),(2,3),(3,4)],'g2'); g.to_list() - [(1, 2), (2, 3), (3, 4)] - >>> g = Group([(1,2,3),(3,4,5)],'g2'); g.to_list() - [(1, 2, 3), (3, 4, 5)] - """ - return [data.content for data in self] - - def copy(self): - """ - Returns a copy of this group - """ - new_group = Group() - new_group.__name = self.__name - if self.__range is not None: - new_group.__range = self.__range[:] - for data in self: - new_group.add_data(data.copy()) - return new_group - - def get_names(self): - """ - Return a list with the names of all data in this group - """ - names = [] - for data in self: - if data.name is None: - names.append('Data '+str(data.index()+1)) - else: - names.append(data.name) - return names - - - def __str__ (self): - """ - Returns a string representing the Group - """ - ret = "" - if self.name is not None: - ret += self.name + " " - if len(self) > 0: - list_str = [str(item) for item in self] - ret += str(list_str) - else: - ret += "[]" - return ret - - def __getitem__(self, key): - """ - Makes a Group iterable, based in the data_list property - """ - return self.data_list[key] - - def __len__(self): - """ - Returns the length of the Group, based in the data_list property - """ - return len(self.data_list) - - -class Colors(object): - """ - Class that models the colors its labels (names) and its properties, RGB - and filling type. - - It can receive: - - A list where each item is a list with 3 or 4 items. The - first 3 items represent the RGB values and the last argument - defines the filling type. The list will be converted to a dict - and each color will receve a name based in its position in the - list. - - A dictionary where each key will be the color name and its item - can be a list with 3 or 4 items. The first 3 items represent - the RGB colors and the last argument defines the filling type. - """ - def __init__(self, color_list=None): - """ - Start the color_list property - @ color_list - the list or dict contaning the colors properties. - """ - self.__color_list = None - - self.color_list = color_list - - @apply - def color_list(): - doc = """ - >>> c = Colors([[1,1,1],[2,2,2,'linear'],[3,3,3,'gradient']]) - >>> print c.color_list - {'Color 2': [2, 2, 2, 'linear'], 'Color 3': [3, 3, 3, 'gradient'], 'Color 1': [1, 1, 1, 'solid']} - >>> c.color_list = [[1,1,1],(2,2,2,'solid'),(3,3,3,'linear')] - >>> print c.color_list - {'Color 2': [2, 2, 2, 'solid'], 'Color 3': [3, 3, 3, 'linear'], 'Color 1': [1, 1, 1, 'solid']} - >>> c.color_list = {'a':[1,1,1],'b':(2,2,2,'solid'),'c':(3,3,3,'linear'), 'd':(4,4,4)} - >>> print c.color_list - {'a': [1, 1, 1, 'solid'], 'c': [3, 3, 3, 'linear'], 'b': [2, 2, 2, 'solid'], 'd': [4, 4, 4, 'solid']} - """ - def fget(self): - """ - Return the color list - """ - return self.__color_list - - def fset(self, color_list): - """ - Format the color list to a dictionary - """ - if color_list is None: - self.__color_list = None - return - - if type(color_list) in LISTTYPES and type(color_list[0]) in LISTTYPES: - old_color_list = color_list[:] - color_list = {} - for index, color in enumerate(old_color_list): - if len(color) is 3 and max(map(type, color)) in NUMTYPES: - color_list['Color '+str(index+1)] = list(color)+[DEFAULT_COLOR_FILLING] - elif len(color) is 4 and max(map(type, color[:-1])) in NUMTYPES and color[-1] in FILLING_TYPES: - color_list['Color '+str(index+1)] = list(color) - else: - raise TypeError, "Unsuported color format" - elif type(color_list) is not dict: - raise TypeError, "Unsuported color format" - - for name, color in color_list.items(): - if len(color) is 3: - if max(map(type, color)) in NUMTYPES: - color_list[name] = list(color)+[DEFAULT_COLOR_FILLING] - else: - raise TypeError, "Unsuported color format" - elif len(color) is 4: - if max(map(type, color[:-1])) in NUMTYPES and color[-1] in FILLING_TYPES: - color_list[name] = list(color) - else: - raise TypeError, "Unsuported color format" - self.__color_list = color_list.copy() - - return property(**locals()) - - -class Series(object): - """ - Class that models a Series (group of groups). Every value (int, float, - long, tuple or list) passed is converted to a list of Group or Data. - It can receive: - - a single number or point, will be converted to a Group of one Data; - - a list of numbers, will be converted to a group of numbers; - - a list of tuples, will converted to a single Group of points; - - a list of lists of numbers, each 'sublist' will be converted to a - group of numbers; - - a list of lists of tuples, each 'sublist' will be converted to a - group of points; - - a list of lists of lists, the content of the 'sublist' will be - processed as coordinated lists and the result will be converted to - a group of points; - - a Dictionary where each item can be the same of the list: number, - point, list of numbers, list of points or list of lists (coordinated - lists); - - an instance of Data; - - an instance of group. - """ - def __init__(self, series=None, name=None, property=[], colors=None): - """ - Starts main atributes in Group instance. - @series - a list, dict of data of which the series is composed; - @name - name of the series; - @property - a list/dict of properties to be used in the plots of - this Series - - Usage: - >>> print Series([1,2,3,4]) - ["Group 1 ['1', '2', '3', '4']"] - >>> print Series([[1,2,3],[4,5,6]]) - ["Group 1 ['1', '2', '3']", "Group 2 ['4', '5', '6']"] - >>> print Series((1,2)) - ["Group 1 ['(1, 2)']"] - >>> print Series([(1,2),(2,3)]) - ["Group 1 ['(1, 2)', '(2, 3)']"] - >>> print Series([[(1,2),(2,3)],[(4,5),(5,6)]]) - ["Group 1 ['(1, 2)', '(2, 3)']", "Group 2 ['(4, 5)', '(5, 6)']"] - >>> print Series([[[1,2,3],[1,2,3],[1,2,3]]]) - ["Group 1 ['(1, 1, 1)', '(2, 2, 2)', '(3, 3, 3)']"] - >>> print Series({'g1':[1,2,3], 'g2':[4,5,6]}) - ["g1 ['1', '2', '3']", "g2 ['4', '5', '6']"] - >>> print Series({'g1':[(1,2),(2,3)], 'g2':[(4,5),(5,6)]}) - ["g1 ['(1, 2)', '(2, 3)']", "g2 ['(4, 5)', '(5, 6)']"] - >>> print Series({'g1':[[1,2],[1,2]], 'g2':[[4,5],[4,5]]}) - ["g1 ['(1, 1)', '(2, 2)']", "g2 ['(4, 4)', '(5, 5)']"] - >>> print Series(Data(1,'d1')) - ["Group 1 ['d1: 1']"] - >>> print Series(Group([(1,2),(2,3)],'g1')) - ["g1 ['(1, 2)', '(2, 3)']"] - """ - # Intial values - self.__group_list = [] - self.__name = None - self.__range = None - - # TODO: Implement colors with filling - self.__colors = None - - self.name = name - self.group_list = series - self.colors = colors - - # Name property - @apply - def name(): - doc = """ - Name is a read/write property that controls the input of name. - - If passed an invalid value it cleans the name with None - - Usage: - >>> s = Series(13); s.name = 'name_test'; print s - name_test ["Group 1 ['13']"] - >>> s.name = 11; print s - ["Group 1 ['13']"] - >>> s.name = 'other_name'; print s - other_name ["Group 1 ['13']"] - >>> s.name = None; print s - ["Group 1 ['13']"] - >>> s.name = 'last_name'; print s - last_name ["Group 1 ['13']"] - >>> s.name = ''; print s - ["Group 1 ['13']"] - """ - def fget(self): - """ - Returns the name as a string - """ - return self.__name - - def fset(self, name): - """ - Sets the name of the Group - """ - if type(name) in STRTYPES and len(name) > 0: - self.__name = name - else: - self.__name = None - - return property(**locals()) - - - - # Colors property - @apply - def colors(): - doc = """ - >>> s = Series() - >>> s.colors = [[1,1,1],[2,2,2,'linear'],[3,3,3,'gradient']] - >>> print s.colors - {'Color 2': [2, 2, 2, 'linear'], 'Color 3': [3, 3, 3, 'gradient'], 'Color 1': [1, 1, 1, 'solid']} - >>> s.colors = [[1,1,1],(2,2,2,'solid'),(3,3,3,'linear')] - >>> print s.colors - {'Color 2': [2, 2, 2, 'solid'], 'Color 3': [3, 3, 3, 'linear'], 'Color 1': [1, 1, 1, 'solid']} - >>> s.colors = {'a':[1,1,1],'b':(2,2,2,'solid'),'c':(3,3,3,'linear'), 'd':(4,4,4)} - >>> print s.colors - {'a': [1, 1, 1, 'solid'], 'c': [3, 3, 3, 'linear'], 'b': [2, 2, 2, 'solid'], 'd': [4, 4, 4, 'solid']} - """ - def fget(self): - """ - Return the color list - """ - return self.__colors.color_list - - def fset(self, colors): - """ - Format the color list to a dictionary - """ - self.__colors = Colors(colors) - - return property(**locals()) - - @apply - def range(): - doc = """ - The range is a read/write property that generates a range of values - for the x axis of the functions. When passed a tuple it almost works - like the built-in range funtion: - - 1 item, represent the end of the range started from 0; - - 2 items, represents the start and the end, respectively; - - 3 items, the last one represents the step; - - When passed a list the range function understands as a valid range. - - Usage: - >>> s = Series(); s.range = 10; print s.range - [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0] - >>> s = Series(); s.range = (5); print s.range - [0.0, 1.0, 2.0, 3.0, 4.0, 5.0] - >>> s = Series(); s.range = (1,7); print s.range - [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0] - >>> s = Series(); s.range = (0,10,2); print s.range - [0.0, 2.0, 4.0, 6.0, 8.0, 10.0] - >>> - >>> s = Series(); s.range = [0]; print s.range - [0.0] - >>> s = Series(); s.range = [0,10,20]; print s.range - [0.0, 10.0, 20.0] - """ - def fget(self): - """ - Returns the range - """ - return self.__range - - def fset(self, x_range): - """ - Controls the input of a valid type and generate the range - """ - # if passed a simple number convert to tuple - if type(x_range) in NUMTYPES: - x_range = (x_range,) - - # A list, just convert to float - if type(x_range) is list and len(x_range) > 0: - # Convert all to float - x_range = map(float, x_range) - # Prevents repeated values and convert back to list - self.__range = list(set(x_range[:])) - # Sort the list to ascending order - self.__range.sort() - - # A tuple, must check the lengths and generate the values - elif type(x_range) is tuple and len(x_range) in (1,2,3): - # Convert all to float - x_range = map(float, x_range) - - # Inital values - start = 0.0 - step = 1.0 - end = 0.0 - - # Only the end and it can't be less or iqual to 0 - if len(x_range) is 1 and x_range > 0: - end = x_range[0] - - # The start and the end but the start must be lesser then the end - elif len(x_range) is 2 and x_range[0] < x_range[1]: - start = x_range[0] - end = x_range[1] - - # All 3, but the start must be lesser then the end - elif x_range[0] < x_range[1]: - start = x_range[0] - end = x_range[1] - step = x_range[2] - - # Starts the range - self.__range = [] - # Generate the range - # Cnat use the range function becouse it don't suport float values - while start <= end: - self.__range.append(start) - start += step - - # Incorrect type - else: - raise Exception, "x_range must be a list with one or more item or a tuple with 2 or 3 items" - - return property(**locals()) - - @apply - def group_list(): - doc = """ - The group_list is a read/write property used to pre-process the list - of Groups. - It can be: - - a single number, point or lambda, will be converted to a single - Group of one Data; - - a list of numbers, will be converted to a group of numbers; - - a list of tuples, will converted to a single Group of points; - - a list of lists of numbers, each 'sublist' will be converted to - a group of numbers; - - a list of lists of tuples, each 'sublist' will be converted to a - group of points; - - a list of lists of lists, the content of the 'sublist' will be - processed as coordinated lists and the result will be converted - to a group of points; - - a list of lambdas, each lambda represents a Group; - - a Dictionary where each item can be the same of the list: number, - point, list of numbers, list of points, list of lists - (coordinated lists) or lambdas - - an instance of Data; - - an instance of group. - - Usage: - >>> s = Series() - >>> s.group_list = [1,2,3,4]; print s - ["Group 1 ['1', '2', '3', '4']"] - >>> s.group_list = [[1,2,3],[4,5,6]]; print s - ["Group 1 ['1', '2', '3']", "Group 2 ['4', '5', '6']"] - >>> s.group_list = (1,2); print s - ["Group 1 ['(1, 2)']"] - >>> s.group_list = [(1,2),(2,3)]; print s - ["Group 1 ['(1, 2)', '(2, 3)']"] - >>> s.group_list = [[(1,2),(2,3)],[(4,5),(5,6)]]; print s - ["Group 1 ['(1, 2)', '(2, 3)']", "Group 2 ['(4, 5)', '(5, 6)']"] - >>> s.group_list = [[[1,2,3],[1,2,3],[1,2,3]]]; print s - ["Group 1 ['(1, 1, 1)', '(2, 2, 2)', '(3, 3, 3)']"] - >>> s.group_list = [(0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,9)]; print s - ["Group 1 ['(0.5, 5.5)']", "Group 2 ['(0, 4)', '(6, 8)']", "Group 3 ['(5.5, 7)']", "Group 4 ['(7, 9)']"] - >>> s.group_list = {'g1':[1,2,3], 'g2':[4,5,6]}; print s - ["g1 ['1', '2', '3']", "g2 ['4', '5', '6']"] - >>> s.group_list = {'g1':[(1,2),(2,3)], 'g2':[(4,5),(5,6)]}; print s - ["g1 ['(1, 2)', '(2, 3)']", "g2 ['(4, 5)', '(5, 6)']"] - >>> s.group_list = {'g1':[[1,2],[1,2]], 'g2':[[4,5],[4,5]]}; print s - ["g1 ['(1, 1)', '(2, 2)']", "g2 ['(4, 4)', '(5, 5)']"] - >>> s.range = 10 - >>> s.group_list = lambda x:x*2 - >>> s.group_list = [lambda x:x*2, lambda x:x**2, lambda x:x**3]; print s - ["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)']"] - >>> s.group_list = {'linear':lambda x:x*2, 'square':lambda x:x**2, 'cubic':lambda x:x**3}; print s - ["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)']"] - >>> s.group_list = Data(1,'d1'); print s - ["Group 1 ['d1: 1']"] - >>> s.group_list = Group([(1,2),(2,3)],'g1'); print s - ["g1 ['(1, 2)', '(2, 3)']"] - """ - def fget(self): - """ - Return the group list. - """ - return self.__group_list - - def fset(self, series): - """ - Controls the input of a valid group list. - """ - #TODO: Add support to the following strem of data: [ (0.5,5.5) , [(0,4),(6,8)] , (5.5,7) , (7,9)] - - # Type: None - if series is None: - self.__group_list = [] - - # List or Tuple - elif type(series) in LISTTYPES: - self.__group_list = [] - - is_function = lambda x: callable(x) - # Groups - if list in map(type, series) or max(map(is_function, series)): - for group in series: - self.add_group(group) - - # single group - else: - self.add_group(series) - - #old code - ## List of numbers - #if type(series[0]) in NUMTYPES or type(series[0]) is tuple: - # print series - # self.add_group(series) - # - ## List of anything else - #else: - # for group in series: - # self.add_group(group) - - # Dict representing series of groups - elif type(series) is dict: - self.__group_list = [] - names = series.keys() - names.sort() - for name in names: - self.add_group(Group(series[name],name,self)) - - # A single lambda - elif callable(series): - self.__group_list = [] - self.add_group(series) - - # Int/float, instance of Group or Data - elif type(series) in NUMTYPES or isinstance(series, Group) or isinstance(series, Data): - self.__group_list = [] - self.add_group(series) - - # Default - else: - raise TypeError, "Serie type not supported" - - return property(**locals()) - - def add_group(self, group, name=None): - """ - Append a new group in group_list - """ - if not isinstance(group, Group): - #Try to convert - group = Group(group, name, self) - - if len(group.data_list) is not 0: - # Auto naming groups - if group.name is None: - group.name = "Group "+str(len(self.__group_list)+1) - - self.__group_list.append(group) - self.__group_list[-1].parent = self - - def copy(self): - """ - Returns a copy of the Series - """ - new_series = Series() - new_series.__name = self.__name - if self.__range is not None: - new_series.__range = self.__range[:] - #Add color property in the copy method - #self.__colors = None - - for group in self: - new_series.add_group(group.copy()) - - return new_series - - def get_names(self): - """ - Returns a list of the names of all groups in the Serie - """ - names = [] - for group in self: - if group.name is None: - names.append('Group '+str(group.index()+1)) - else: - names.append(group.name) - - return names - - def to_list(self): - """ - Returns a list with the content of all groups and data - """ - big_list = [] - for group in self: - for data in group: - if type(data.content) in NUMTYPES: - big_list.append(data.content) - else: - big_list = big_list + list(data.content) - return big_list - - def __getitem__(self, key): - """ - Makes the Series iterable, based in the group_list property - """ - return self.__group_list[key] - - def __str__(self): - """ - Returns a string that represents the Series - """ - ret = "" - if self.name is not None: - ret += self.name + " " - if len(self) > 0: - list_str = [str(item) for item in self] - ret += str(list_str) - else: - ret += "[]" - return ret - - def __len__(self): - """ - Returns the length of the Series, based in the group_lsit property - """ - return len(self.group_list) - - -if __name__ == '__main__': - doctest.testmod() |