Network graph not showing arrows along edge in Python -


i have adjacency matrix , array defining coordinates of each node:

import numpy np import matplotlib.pyplot plt import networkx nx %matplotlib inline    import adjacency matrix a[i,j] = np.matrix([[0, 1, 1, 0, 0, 1, 0],                [0, 0, 1, 1, 0, 0, 0],                [0, 0, 0, 1, 1, 1, 0],                [0, 0, 0, 0, 1, 1, 0],                [0, 0, 0, 0, 0, 0, 1],                 [0, 0, 0, 0, 0, 0, 1],                [0, 0, 0, 0, 0, 0, 0]])  ## import node coordinates xy = np.array([[0, 0],                [-20, 20],                [17, 27],                 [-6, 49],                 [15, 65],                 [-20, 76],                [5,  100]])

my goal draw graph displaying how nodes connect between 1 another. therefore each edge should have arrow or bidirectional arrow showing direction proceed along it.

i able display connectivity there no arrows though specified parameter true.

## draw newtwork g = nx.from_numpy_matrix(a, xy) nx.draw_networkx(g, pos=xy, width=3, arrows=true)

can please suggest me way achieve goal without modifying input data (a , xy)?

enter image description here

i managed "arrows". digging around on other stack overflow questions (here, , here) seems best way arrows using matplotlib. 

import numpy np import networkx nx import matplotlib.pyplot plt   #import adjacency matrix a[i,j] = np.matrix([[0, 1, 1, 0, 0, 1, 0],                [0, 0, 1, 1, 0, 0, 0],                [0, 0, 0, 1, 1, 1, 0],                [0, 0, 0, 0, 1, 1, 0],                [0, 0, 0, 0, 0, 0, 1],                 [0, 0, 0, 0, 0, 0, 1],                [0, 0, 0, 0, 0, 0, 0]])  ## import node coordinates xy = np.array([[0, 0],                [-20, 20],                [17, 27],                 [-6, 49],                 [15, 65],                 [-20, 76],                [5,  100]])   g = nx.from_numpy_matrix(np.array(a), create_using = nx.multidigraph()) pos = xy nx.draw(g,pos) labels = {i: + 1 in g.nodes()} nx.draw_networkx_labels(g, pos, labels, font_size=15, arrows=true) plt.show()

output


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