GraphMap

Getting Started

This notebook shows how to get started using GraphMap



In [10]:

    
%pylab inline
import sys
import os
sys.path.insert(0,'..')
import graphmap









    



Populating the interactive namespace from numpy and matplotlib

First let us import the module and create a GraphMap that persists in memory.



In [11]:

    
from graphmap.graphmap_main import GraphMap
from graphmap.memory_persistence import MemoryPersistence
G = GraphMap(MemoryPersistence())

Let us create two nodes with images of Seattle skyline and Mt. Tacoma from wikimedia.



In [12]:

    
from graphmap.graph_helpers import NodeLink
seattle_skyline_image_url = 'https://upload.wikimedia.org/wikipedia/commons/thumb/2/2f/Space_Needle002.jpg/640px-Space_Needle002.jpg'
mt_tacoma_image_url = 'https://upload.wikimedia.org/wikipedia/commons/thumb/a/a2/Mount_Rainier_from_the_Silver_Queen_Peak.jpg/1024px-Mount_Rainier_from_the_Silver_Queen_Peak.jpg'
seattle_node_link = NodeLink('seattle')
mt_tacoma_node_link = NodeLink('tacoma')



In [13]:

    
G.create_node(root_node_link=seattle_node_link, image_value_link=seattle_skyline_image_url)









    Out[13]:





Result(seattle,0,)



In [14]:

    
G.create_node(root_node_link=mt_tacoma_node_link, image_value_link=mt_tacoma_image_url)









    Out[14]:





Result(tacoma,0,)

Now that we have created the 'seattle' node let's see how it looks



In [15]:

    
seattle_pil_image_result = G.get_image_at_quad_key(root_node_link=seattle_node_link, resolution=256, quad_key='')
mt_tacoma_pil_image_result = G.get_image_at_quad_key(root_node_link=mt_tacoma_node_link, resolution=256, quad_key='')
import matplotlib.pyplot as plt
plt.imshow(seattle_pil_image_result.value)
plt.figure()
plt.imshow(mt_tacoma_pil_image_result.value)









    



('Reshaping  from ', 333, 640, ' to ', 532, 1024, ' pixel image')
('Reshaping  from ', 684, 1024, ' to ', 684, 1024, ' pixel image')






    Out[15]:





<matplotlib.image.AxesImage at 0x8088dd8>

Let us insert the 'tacoma' node into the 'seattle' node at the top right. The quad key we will use is 13. 1 correpsonds to the top right quadrant, inside that we will insert at bottom right hence 3.



In [16]:

    
insert_quad_key = '13'
created_node_link_result = G.connect_child(root_node_link=seattle_node_link, 
                                    quad_key=insert_quad_key,
                                    child_node_link=mt_tacoma_node_link,)
print(created_node_link_result)









    



Result(root@bsciluB728Jf8EgzVbRN,0,)

Let us see how the new_seattle_node looks after the insertion.



In [17]:

    
created_node_link = created_node_link_result.value
new_seattle_image_result = G.get_image_at_quad_key(created_node_link, resolution=256, quad_key='')
new_seattle_image_result









    



('Reshaping  from ', 684, 1024, ' to ', 684, 1024, ' pixel image')






    Out[17]:





Result(<PIL.Image.Image image mode=RGB size=256x256 at 0x872D448>,0,)



In [18]:

    
plt.imshow(new_seattle_image_result.value)









    Out[18]:





<matplotlib.image.AxesImage at 0x8806978>

One can see a nice image of Mt. Tacoma inserted into image of Seattle.



In [ ]: