[[0, 100, 7, 27, 34, 40, 41, 48, 58, 65, 75, 78, 79, 96, 126, 127, 0],
[0, 2, 45, 54, 56, 57, 59, 66, 67, 82, 86, 102, 124, 133, 0],
[0, 35, 39, 52, 53, 60, 61, 80, 81, 83, 87, 97, 98, 101, 109, 0],
[0, 15, 28, 29, 30, 31, 32, 33, 37, 38, 49, 50, 51, 71, 95, 0],
[0, 3, 16, 22, 23, 44, 72, 73, 74, 90, 110, 131, 0],
[0, 10, 11, 18, 19, 36, 55, 89, 93, 94, 108, 113, 114, 0],
[0, 1, 5, 6, 9, 12, 17, 24, 43, 64, 77, 85, 88, 91, 92, 111, 112, 130, 0],
[0, 13, 20, 42, 62, 68, 84, 99, 104, 116, 119, 125, 128, 129, 132, 0],
[0, 8, 14, 26, 63, 69, 70, 103, 105, 123, 0],
[0, 4, 21, 25, 46, 47, 106, 107, 115, 117, 118, 120, 121, 122, 0],
[0, 76, 0]]
I have the different routes listed above. I need to calculate the distance of every route (11 routes in total)
After this, I have created all edges within a single route.
[[(0, 100),
(100, 7),
(7, 27),
(27, 34),
(34, 40),
(40, 41),
(41, 48),
(48, 58),
(58, 65),
(65, 75),
(75, 78),
(78, 79),
(79, 96),
(96, 126),
(126, 127),
(127, 0)],
[(0, 2),
(2, 45),
(45, 54),
(54, 56),
(56, 57),
(57, 59),
(59, 66),
(66, 67),
(67, 82),
(82, 86),
(86, 102),
(102, 124),
(124, 133),
(133, 0)],
[(0, 35),
(35, 39),
(39, 52),
(52, 53),
(53, 60),
(60, 61),
(61, 80),
(80, 81),
(81, 83),
(83, 87),
(87, 97),
(97, 98),
(98, 101),
(101, 109),
(109, 0)],
[(0, 15),
(15, 28),
(28, 29),
(29, 30),
(30, 31),
(31, 32),
(32, 33),
(33, 37),
(37, 38),
(38, 49),
(49, 50),
(50, 51),
(51, 71),
(71, 95),
(95, 0)],
[(0, 3),
(3, 16),
(16, 22),
(22, 23),
(23, 44),
(44, 72),
(72, 73),
(73, 74),
(74, 90),
(90, 110),
(110, 131),
(131, 0)],
[(0, 10),
(10, 11),
(11, 18),
(18, 19),
(19, 36),
(36, 55),
(55, 89),
(89, 93),
(93, 94),
(94, 108),
(108, 113),
(113, 114),
(114, 0)],
[(0, 1),
(1, 5),
(5, 6),
(6, 9),
(9, 12),
(12, 17),
(17, 24),
(24, 43),
(43, 64),
(64, 77),
(77, 85),
(85, 88),
(88, 91),
(91, 92),
(92, 111),
(111, 112),
(112, 130),
(130, 0)],
[(0, 13),
(13, 20),
(20, 42),
(42, 62),
(62, 68),
(68, 84),
(84, 99),
(99, 104),
(104, 116),
(116, 119),
(119, 125),
(125, 128),
(128, 129),
(129, 132),
(132, 0)],
[(0, 8),
(8, 14),
(14, 26),
(26, 63),
(63, 69),
(69, 70),
(70, 103),
(103, 105),
(105, 123),
(123, 0)],
[(0, 4),
(4, 21),
(21, 25),
(25, 46),
(46, 47),
(47, 106),
(106, 107),
(107, 115),
(115, 117),
(117, 118),
(118, 120),
(120, 121),
(121, 122),
(122, 0)],
[(0, 76), (76, 0)]]
However, I need to calculate the distance between the edges. Every edge consists of 2 numbers which are city numbers in a distance matrix (so 0,100 is the distance from city 0 to city 100). I tried to calculate the distances but cannot keep separate routes.
I already tried this:
a_list=[]
visiting_time={}
for k in range(len(result)):
for (i,j) in visits[k]:
visiting_time[(i,j)]= distance_matrix_new_time[i][j]
f=list(visiting_time.values())
a_list.append(f)
In my code Result is the list with different routes (first list), and visits is the list with all edges (second list)
the output should be like this
[2,3,5,6,3,2,5,8,3,5,2,4,6],[2,6,3,1,9,....],[....] etc.
Can someone help me out?
you could use a list comprehension:
a_list = [[distance_matrix_new_time[i][j] for i, j in l] for l in visits]
A Mersenne Prime follows this formula 2^n-1. I have created a new type of factoring method for numbers which do not produce Mersenne primes. It is very abstract. Its premise is if a specific number is applied using modular math and the new number becomes (zero), it is not a Mersenne Prime Number. I submitted a paper to The Journal of Number Theory online, however it was rejected by the journal. I have attached it if you would like to look it over, I still feel my method is promising yet I'm no coding expert. This is a pdf I sent to the Journal of Number Theory My problem is in my new code I don't know how to divide a number in the list. The list enumerates ok yet I want to subtract z=11 from 253 which equals 242 than mod it by 121, however when I create a range from 1-254 I cannot seem to do this math. The reason I'm interested in this is 253//11=23 which is a factor of 2^11-1. I got this idea from a ratio page.
Type 1:11 and the second number is a 22 just add 1 and its 23.
Check it out
https://goodcalculators.com/ratio-calculator/
The formula will target any number in the range and what I'm looking for is a zero.
Additional details for grismar as per request:
Grismar and others,
What I have found is that Mersenne primes will produce fewer zero's below the number 11 vs. a number like 2^11-1. Also when you output the number by subtraction of z and then mod z*z you may find the number with the lowest factor in it after you divide it by z. The range must be large enough as to find that number, yet if is zero simply divide by z. Then for instance when you find 23 by dividing 11 into 253. You can divide 23 into 2047 and you should get 89. More than likely if you use a different number to check this factor you will get a fraction. So when checking using this method when you find a zero for a number which does not produce a Mersenne Prime number like. Lets pick 29. 536870911 รท 233 = 2304167 so you get a factor number not a fraction.
These are all the factors of 536870911
[1, 233, 1103, 256999, 2089, 486737, 2304167, 536870911]
If you would like even more details leave a comment please.
Programmer in learning looking for help here is my program:
1 should be the start range!
while True:
x = int(input("Use 1 for the start range to make this work correctly:
"))
i = int(input("End Range: "))
z = int(input("square of primes multiplied by a number plus z which
does not make a
mersenne prime, this finds its factor of z: "))
fact = [(i + 1, x) for i, x in enumerate(range(x, i))]
print([((int(i)-z) % (z*z)) if isinstance(i, str) else i for i in fact])
Maybe what you are trying is this, the int call is unnecessary since the values are integers from the start. Also, don't use the same variable i for different purposes:
calculations = [
(index + 1, (fact_tuple[0] - z) % (z*z)) for index, fact_tuple in enumerate(fact)
]
print(calculations) # with x = 1, i = 254, z = 11
>>> [(1, 111), (2, 112), (3, 113), (4, 114), (5, 115), (6, 116), (7, 117), (8, 118), (9, 119), (10, 120), (11, 0), (12, 1), (13, 2), (14, 3), (15, 4), (16, 5), (17, 6), (18, 7), (19, 8), (20, 9), (21, 10), (22, 11), (23, 12), (24, 13), (25, 14), (26, 15), (27, 16), (28, 17), (29, 18), (30, 19), (31, 20), (32, 21), (33, 22), (34, 23), (35, 24), (36, 25), (37, 26), (38, 27), (39, 28), (40, 29), (41, 30), (42, 31), (43, 32), (44, 33), (45, 34), (46, 35), (47, 36), (48, 37), (49, 38), (50, 39), (51, 40), (52, 41), (53, 42), (54, 43), (55, 44), (56, 45), (57, 46), (58, 47), (59, 48), (60, 49), (61, 50), (62, 51), (63, 52), (64, 53), (65, 54), (66, 55), (67, 56), (68, 57), (69, 58), (70, 59), (71, 60), (72, 61), (73, 62), (74, 63), (75, 64), (76, 65), (77, 66), (78, 67), (79, 68), (80, 69), (81, 70), (82, 71), (83, 72), (84, 73), (85, 74), (86, 75), (87, 76), (88, 77), (89, 78), (90, 79), (91, 80), (92, 81), (93, 82), (94, 83), (95, 84), (96, 85), (97, 86), (98, 87), (99, 88), (100, 89), (101, 90), (102, 91), (103, 92), (104, 93), (105, 94), (106, 95), (107, 96), (108, 97), (109, 98), (110, 99), (111, 100), (112, 101), (113, 102), (114, 103), (115, 104), (116, 105), (117, 106), (118, 107), (119, 108), (120, 109), (121, 110), (122, 111), (123, 112), (124, 113), (125, 114), (126, 115), (127, 116), (128, 117), (129, 118), (130, 119), (131, 120), (132, 0), (133, 1), (134, 2), (135, 3), (136, 4), (137, 5), (138, 6), (139, 7), (140, 8), (141, 9), (142, 10), (143, 11), (144, 12), (145, 13), (146, 14), (147, 15), (148, 16), (149, 17), (150, 18), (151, 19), (152, 20), (153, 21), (154, 22), (155, 23), (156, 24), (157, 25), (158, 26), (159, 27), (160, 28), (161, 29), (162, 30), (163, 31), (164, 32), (165, 33), (166, 34), (167, 35), (168, 36), (169, 37), (170, 38), (171, 39), (172, 40), (173, 41), (174, 42), (175, 43), (176, 44), (177, 45), (178, 46), (179, 47), (180, 48), (181, 49), (182, 50), (183, 51), (184, 52), (185, 53), (186, 54), (187, 55), (188, 56), (189, 57), (190, 58), (191, 59), (192, 60), (193, 61), (194, 62), (195, 63), (196, 64), (197, 65), (198, 66), (199, 67), (200, 68), (201, 69), (202, 70), (203, 71), (204, 72), (205, 73), (206, 74), (207, 75), (208, 76), (209, 77), (210, 78), (211, 79), (212, 80), (213, 81), (214, 82), (215, 83), (216, 84), (217, 85), (218, 86), (219, 87), (220, 88), (221, 89), (222, 90), (223, 91), (224, 92), (225, 93), (226, 94), (227, 95), (228, 96), (229, 97), (230, 98), (231, 99), (232, 100), (233, 101), (234, 102), (235, 103), (236, 104), (237, 105), (238, 106), (239, 107), (240, 108), (241, 109), (242, 110), (243, 111), (244, 112), (245, 113), (246, 114), (247, 115), (248, 116), (249, 117), (250, 118), (251, 119), (252, 120), (253, 0)]
I have a fairly large and messy network of nodes that I wish to display as neatly as possible.
This is how it's currently being displayed:
First, I tried playing with the layout to see if it could generate a good output automatically.
I have tried many different nx layouts, but they all display similar results. I have also tried answers from all of these stack exchange questions:
How to increase node spacing for networkx.spring_layout
Drawing a huge graph with networkX and matplotlib
NetworkX - Stop Nodes from Bunching Up - Tried Scale/K parameters
Fix position of subset of nodes in NetworkX spring graph
Here is the code I am using:
import networkx as nx
import matplotlib.pyplot as plt\
def generate_plot(connections, filename):
G=nx.Graph()
G.add_edges_from(connections)
nx.draw(G)
plt.show()
#plt.savefig(filename)
and here is the data that I am trying to display:
connections = [(0, 36), (0, 113), (2, 11), (2, 12), (2, 26), (2, 27), (2, 28), (2, 29), (2, 32), (2, 33), (2, 34), (2, 35), (2, 82), (3, 41), (4, 41), (5, 3), (6, 3), (11, 7), (11, 10), (11, 13), (11, 42), (12, 10), (12, 164), (26, 10), (26, 100), (27, 10), (27, 164), (28, 10), (28, 92), (29, 56), (29, 58), (29, 79), (29, 91), (29, 99), (29, 100), (29, 101), (29, 102), (30, 59), (30, 83), (30, 99), (31, 55), (31, 56), (31, 57), (31, 74), (31, 91), (31, 96), (31, 100), (31, 113), (31, 134), (31, 164), (32, 10), (33, 10), (34, 10), (34, 164), (35, 10), (35, 91), (35, 100), (36, 64), (36, 74), (36, 82), (36, 91), (36, 107), (36, 99), (38, 41), (39, 40), (39, 41), (39, 59), (40, 41), (40, 47), (40, 91), (40, 99), (41, 3), (41, 39), (41, 40), (43, 68), (43, 69), (45, 50), (46, 51), (46, 69), (46, 99), (47, 49), (47, 91), (47, 107), (47, 100), (47, 101), (47, 113), (48, 76), (50, 68), (50, 69), (51, 68), (51, 76), (51, 114), (52, 46), (52, 47), (52, 65), (53, 42), (53, 107), (53, 99), (53, 100), (53, 101), (53, 113), (54, 76), (55, 74), (55, 96), (55, 99), (56, 99), (56, 100), (56, 109), (57, 29), (57, 64), (57, 91), (57, 96), (57, 107), (57, 100), (58, 91), (58, 99), (58, 100), (58, 101), (58, 102), (59, 30), (59, 46), (59, 47), (59, 61), (59, 83), (59, 99), (59, 100), (59, 101), (60, 3), (60, 12), (60, 26), (60, 27), (60, 29), (60, 30), (60, 31), (60, 35), (60, 36), (60, 40), (60, 42), (60, 44), (60, 49), (60, 55), (60, 56), (60, 57), (60, 58), (60, 59), (60, 61), (60, 64), (60, 74), (60, 75), (60, 79), (60, 81), (60, 82), (60, 83), (60, 86), (60, 90), (60, 91), (60, 92), (60, 93), (60, 94), (60, 96), (60, 107), (60, 99), (60, 100), (60, 101), (60, 102), (60, 111), (60, 112), (60, 113), (60, 116), (60, 126), (60, 129), (60, 134), (60, 135), (60, 136), (60, 140), (60, 144), (60, 150), (60, 152), (60, 162), (60, 164), (60, 179), (60, 195), (61, 91), (61, 107), (61, 100), (61, 101), (61, 113), (61, 135), (62, 79), (62, 102), (63, 59), (64, 29), (64, 36), (64, 91), (64, 99), (64, 100), (64, 101), (64, 140), (65, 12), (65, 27), (65, 29), (65, 30), (65, 31), (65, 34), (65, 35), (65, 43), (65, 45), (65, 50), (65, 56), (65, 57), (65, 58), (65, 59), (65, 60), (65, 61), (65, 66), (65, 67), (65, 72), (65, 75), (65, 81), (65, 82), (65, 91), (65, 92), (65, 96), (65, 107), (65, 99), (65, 100), (65, 101), (65, 102), (65, 104), (65, 109), (65, 129), (65, 140), (65, 142), (65, 156), (65, 164), (67, 68), (67, 69), (67, 195), (68, 60), (69, 51), (69, 53), (69, 68), (69, 195), (70, 12), (70, 26), (70, 29), (70, 31), (70, 35), (70, 47), (70, 56), (70, 58), (70, 59), (70, 61), (70, 66), (70, 75), (70, 79), (70, 82), (70, 83), (70, 93), (70, 96), (70, 107), (70, 99), (70, 100), (70, 101), (70, 126), (70, 129), (70, 135), (70, 136), (70, 162), (70, 164), (71, 12), (71, 26), (71, 29), (71, 31), (71, 35), (71, 47), (71, 56), (71, 58), (71, 59), (71, 61), (71, 66), (71, 75), (71, 79), (71, 83), (71, 96), (71, 107), (71, 99), (71, 100), (71, 101), (71, 126), (71, 135), (71, 162), (71, 164), (72, 29), (72, 35), (72, 36), (72, 46), (72, 47), (72, 55), (72, 57), (72, 58), (72, 60), (72, 61), (72, 64), (72, 66), (72, 70), (72, 71), (72, 74), (72, 75), (72, 76), (72, 79), (72, 86), (72, 90), (72, 91), (72, 93), (72, 94), (72, 95), (72, 96), (72, 107), (72, 99), (72, 100), (72, 101), (72, 102), (72, 111), (72, 112), (72, 116), (72, 126), (72, 129), (72, 144), (73, 83), (74, 96), (74, 100), (75, 100), (76, 29), (76, 31), (76, 42), (76, 44), (76, 49), (76, 55), (76, 56), (76, 59), (76, 61), (76, 66), (76, 74), (76, 78), (76, 83), (76, 91), (76, 93), (76, 96), (76, 107), (76, 109), (76, 113), (76, 114), (76, 116), (76, 134), (76, 140), (77, 30), (77, 44), (77, 49), (77, 61), (77, 74), (77, 78), (77, 83), (77, 96), (77, 109), (77, 140), (78, 61), (78, 91), (78, 92), (79, 44), (79, 99), (80, 42), (80, 64), (80, 65), (80, 75), (80, 83), (80, 134), (80, 135), (80, 136), (80, 144), (80, 155), (81, 35), (81, 91), (81, 100), (82, 10), (83, 84), (83, 85), (83, 86), (83, 107), (83, 100), (84, 194), (84, 195), (87, 36), (87, 88), (87, 142), (87, 144), (88, 59), (88, 83), (88, 134), (88, 135), (88, 136), (88, 144), (88, 158), (88, 162), (89, 61), (89, 135), (89, 141), (90, 36), (91, 96), (91, 113), (93, 96), (93, 107), (93, 134), (93, 135), (94, 74), (94, 96), (95, 61), (95, 134), (95, 135), (95, 162), (96, 35), (96, 74), (96, 91), (96, 99), (96, 100), (96, 101), (98, 12), (98, 26), (98, 27), (98, 29), (98, 30), (98, 31), (98, 34), (98, 35), (98, 41), (98, 56), (98, 57), (98, 58), (98, 59), (98, 60), (98, 61), (98, 70), (98, 75), (98, 79), (98, 81), (98, 82), (98, 83), (98, 84), (98, 87), (98, 91), (98, 92), (98, 95), (98, 96), (98, 107), (98, 99), (98, 100), (98, 101), (98, 106), (98, 134), (98, 135), (98, 142), (98, 147), (98, 152), (98, 159), (99, 91), (99, 113), (99, 164), (100, 91), (100, 101), (100, 113), (100, 164), (101, 57), (101, 91), (101, 113), (101, 164), (102, 101), (103, 44), (103, 61), (103, 140), (104, 56), (104, 90), (104, 101), (104, 102), (104, 104), (104, 129), (104, 140), (105, 83), (105, 135), (106, 2), (106, 29), (106, 30), (106, 31), (106, 36), (106, 41), (106, 48), (106, 56), (106, 57), (106, 58), (106, 59), (106, 60), (106, 61), (106, 62), (106, 63), (106, 65), (106, 66), (106, 68), (106, 70), (106, 71), (106, 72), (106, 74), (106, 75), (106, 76), (106, 77), (106, 78), (106, 79), (106, 80), (106, 81), (106, 82), (106, 83), (106, 84), (106, 85), (106, 87), (106, 89), (106, 90), (106, 91), (106, 92), (106, 93), (106, 94), (106, 95), (106, 96), (106, 107), (106, 99), (106, 100), (106, 101), (106, 102), (106, 103), (106, 104), (106, 105), (106, 108), (106, 110), (106, 111), (106, 112), (106, 116), (106, 119), (106, 123), (106, 124), (106, 125), (106, 126), (106, 127), (106, 128), (106, 129), (106, 130), (106, 131), (106, 134), (106, 135), (106, 136), (106, 137), (106, 138), (106, 139), (106, 140), (106, 141), (106, 142), (106, 144), (106, 146), (106, 147), (106, 148), (106, 149), (106, 151), (106, 152), (106, 153), (106, 154), (106, 157), (106, 158), (106, 159), (106, 160), (106, 161), (106, 162), (106, 164), (106, 194), (108, 42), (108, 61), (108, 76), (108, 109), (108, 110), (108, 114), (109, 42), (109, 91), (109, 113), (109, 164), (110, 76), (111, 114), (112, 114), (114, 0), (114, 26), (114, 29), (114, 30), (114, 31), (114, 35), (114, 36), (114, 40), (114, 42), (114, 44), (114, 47), (114, 49), (114, 53), (114, 55), (114, 56), (114, 57), (114, 59), (114, 61), (114, 64), (114, 74), (114, 75), (114, 81), (114, 82), (114, 86), (114, 91), (114, 93), (114, 96), (114, 107), (114, 99), (114, 100), (114, 101), (114, 102), (114, 109), (114, 129), (114, 134), (114, 135), (114, 140), (114, 164), (114, 179), (115, 10), (115, 31), (115, 164), (116, 114), (119, 150), (120, 157), (121, 137), (122, 137), (123, 163), (124, 117), (124, 125), (124, 130), (124, 150), (124, 163), (125, 126), (126, 117), (126, 135), (127, 134), (128, 135), (129, 36), (129, 91), (130, 131), (131, 134), (131, 135), (132, 157), (133, 137), (134, 36), (134, 74), (134, 109), (134, 135), (135, 36), (135, 74), (135, 136), (135, 156), (136, 36), (137, 134), (138, 139), (139, 135), (140, 107), (140, 134), (140, 136), (141, 118), (141, 135), (141, 144), (142, 36), (142, 61), (142, 64), (142, 83), (142, 118), (142, 129), (142, 134), (142, 135), (142, 136), (142, 140), (142, 141), (142, 143), (142, 144), (142, 150), (142, 152), (142, 156), (142, 158), (142, 162), (142, 164), (142, 195), (143, 135), (144, 36), (144, 134), (144, 135), (144, 136), (144, 162), (145, 134), (146, 134), (146, 135), (146, 155), (147, 29), (147, 44), (147, 46), (147, 47), (147, 118), (147, 134), (147, 135), (147, 136), (147, 140), (147, 144), (147, 156), (147, 158), (147, 164), (148, 136), (148, 150), (149, 134), (149, 135), (149, 136), (149, 141), (150, 134), (150, 164), (151, 150), (152, 134), (152, 135), (152, 156), (152, 162), (153, 134), (153, 135), (153, 162), (154, 150), (155, 134), (156, 135), (157, 134), (158, 136), (158, 140), (159, 135), (160, 134), (160, 135), (160, 155), (162, 36), (162, 61), (162, 74), (162, 96), (162, 134), (162, 135), (162, 144), (167, 171), (168, 83), (169, 99), (170, 83), (170, 85), (171, 2), (172, 195), (173, 78), (174, 78), (175, 60), (175, 66), (175, 70), (175, 142), (176, 94), (176, 120), (176, 121), (176, 122), (176, 123), (176, 132), (176, 133), (176, 137), (176, 138), (176, 145), (176, 157), (177, 12), (177, 26), (177, 27), (177, 28), (177, 29), (177, 30), (177, 31), (177, 33), (177, 34), (177, 35), (177, 36), (177, 44), (177, 55), (177, 56), (177, 57), (177, 58), (177, 59), (177, 61), (177, 62), (177, 63), (177, 64), (177, 74), (177, 75), (177, 78), (177, 79), (177, 81), (177, 82), (177, 86), (177, 89), (177, 90), (177, 91), (177, 93), (177, 94), (177, 96), (177, 107), (177, 99), (177, 100), (177, 101), (177, 102), (177, 109), (177, 113), (177, 118), (177, 128), (177, 129), (177, 134), (177, 135), (177, 136), (177, 139), (177, 140), (177, 141), (177, 144), (177, 148), (177, 149), (177, 150), (177, 151), (177, 152), (177, 153), (177, 154), (177, 159), (177, 162), (178, 35), (180, 37), (182, 31), (183, 31), (184, 185), (185, 29), (185, 30), (185, 31), (185, 44), (185, 79), (185, 166), (185, 187), (185, 190), (187, 185), (188, 164), (188, 187), (188, 190), (189, 108), (190, 185), (192, 193), (195, 164)]
I am hoping to be able to spread out the nodes more and display them in a hierarchical manner, with the nodes that have the most connections closer to top, and the ones with few connections at the bottom.
This is a bit roundabout, but maybe useful:
The idea is to use the degree (i.e., its number of edges) of the node as y-coordinate, and then assign x-coords based on frequency of the given degree:
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
G=nx.Graph()
G.add_edges_from(connections)
# check how many times a given degree occurs:
degrees = [G.degree[a] for a in G.nodes]
# generate unique x-coordinates. divide by 2 for zero-centering:
degrees = {degree: [a for a in degrees.count(degree)/2. - np.arange(degrees.count(degree))] for degree in set(degrees)}
# build positioning dicitonary:
positions = {a : (degrees[G.degree[a]].pop(), G.degree[a]) for a in G.nodes}
Fixed distances in Y-direction, and slightly less compressed code:
degrees = [G.degree[a] for a in G.nodes]
degrees_unique = sorted(list(set(degrees)))
y_positions = {degrees_unique[i] : i for i in range(len(degrees_unique))}
x_positions = {}
for degree in degrees_unique:
x_positions[degree] = [a for a in degrees.count(degree) / 2. - np.arange(degrees.count(degree))]
positions = {}
for node in G.nodes:
deg = G.degree[node]
positions[node] = (x_positions[deg].pop(), y_positions[deg])
nx.draw(G, pos=positions, node_size=10)
alternatively, a mirror variable can be included in the last loop, s.t. nodes are plotted above and below the x-axis, every other iteration, somewhat decluttering everything:
mirror = 1
for node in G.nodes:
deg = G.degree[node]
positions[node] = (x_positions[deg].pop(), mirror*y_positions[deg])
mirror *= -1
nx.draw(G, pos=positions, node_size=10)
I start with two numpy arrays, the "x values" and the "y values":
import numpy as np
x = np.arange(100)
y = np.arange(100)
The output is
[ 0 1 2 3 4 ..... 96 97 98 99]
[ 0 1 2 3 4 ..... 96 97 98 99]
I would like to append these values together into an array of len() = 100 such that the output is
[ (0,0) (1,1) (2,2) (3,3) .... (98,98) (99,99) ]
How does one use indexing to both (A) put the pairs in the correct order and (B) put the paratheses ( and comma , in the correct order?
For your particular requirement, you can use the built-in zip function, which combines multiple lists at their corresponding indexes (that is ith index of all lists that are parameter to it in combined in the returned iterator).
Example -
import numpy as np
x = np.arange(100)
y = np.arange(100)
print(list(zip(x,y)))
>>> [(0, 0), (1, 1), (2, 2), (3, 3), (4, 4), (5, 5), (6, 6), (7, 7), (8, 8), (9, 9), (10, 10), (11, 11), (12, 12), (13, 13), (14, 14), (15, 15), (16, 16), (17, 17), (18, 18), (19, 19), (20, 20), (21, 21), (22, 22), (23, 23), (24, 24), (25, 25), (26, 26), (27, 27), (28, 28), (29, 29), (30, 30), (31, 31), (32, 32), (33, 33), (34, 34), (35, 35), (36, 36), (37, 37), (38, 38), (39, 39), (40, 40), (41, 41), (42, 42), (43, 43), (44, 44), (45, 45), (46, 46), (47, 47), (48, 48), (49, 49), (50, 50), (51, 51), (52, 52), (53, 53), (54, 54), (55, 55), (56, 56), (57, 57), (58, 58), (59, 59), (60, 60), (61, 61), (62, 62), (63, 63), (64, 64), (65, 65), (66, 66), (67, 67), (68, 68), (69, 69), (70, 70), (71, 71), (72, 72), (73, 73), (74, 74), (75, 75), (76, 76), (77, 77), (78, 78), (79, 79), (80, 80), (81, 81), (82, 82), (83, 83), (84, 84), (85, 85), (86, 86), (87, 87), (88, 88), (89, 89), (90, 90), (91, 91), (92, 92), (93, 93), (94, 94), (95, 95), (96, 96), (97, 97), (98, 98), (99, 99)]
For Python 2.x , please note you do not need list(zip(...)) , since zip itself would return a list , but for Python 3.x , zip returns an iterator, and to print it we would need to convert it into a list.
You can use np.dstack to get the columns :
>>> np.dstack((x,y))
array([[[ 0, 0],
[ 1, 1],
[ 2, 2],
[ 3, 3],
[ 4, 4],
[ 5, 5],
[ 6, 6],
[ 7, 7],
[ 8, 8],
[ 9, 9],
...
[99, 99]]])
And if you want to get tuple instead of list you can use map to convert it to tuple:
>>> map(tuple,np.dstack((x,y))[0])
[(0, 0), (1, 1), (2, 2), (3, 3), (4, 4), (5, 5), (6, 6), (7, 7), (8, 8), (9, 9), (10, 10), (11, 11), (12, 12), (13, 13), (14, 14), (15, 15), (16, 16), (17, 17), (18, 18), (19, 19), (20, 20), (21, 21), (22, 22), (23, 23), (24, 24), (25, 25), (26, 26), (27, 27), (28, 28), (29, 29), (30, 30), (31, 31), (32, 32), (33, 33), (34, 34), (35, 35), (36, 36), (37, 37), (38, 38), (39, 39), (40, 40), (41, 41), (42, 42), (43, 43), (44, 44), (45, 45), (46, 46), (47, 47), (48, 48), (49, 49), (50, 50), (51, 51), (52, 52), (53, 53), (54, 54), (55, 55), (56, 56), (57, 57), (58, 58), (59, 59), (60, 60), (61, 61), (62, 62), (63, 63), (64, 64), (65, 65), (66, 66), (67, 67), (68, 68), (69, 69), (70, 70), (71, 71), (72, 72), (73, 73), (74, 74), (75, 75), (76, 76), (77, 77), (78, 78), (79, 79), (80, 80), (81, 81), (82, 82), (83, 83), (84, 84), (85, 85), (86, 86), (87, 87), (88, 88), (89, 89), (90, 90), (91, 91), (92, 92), (93, 93), (94, 94), (95, 95), (96, 96), (97, 97), (98, 98), (99, 99)]
>>>
You could use vstack
In [36]: xy = np.vstack((x,y)).T
In [37]: xy.shape
Out[37]: (100, 2)
In [38]: xy[0]
Out[38]: array([0, 0])
In [39]: xy[1]
Out[39]: array([1, 1])