pip install plot4gmns

>>>import plot4gmns as pg

"""Step 1: build network from csv files"""
>>>net=pg.readNetwork('./data')

"""Step 2: check valid network  attributes"""
>>>net.get_valid_node_attr_list() #node attributes
attr                          type                
ctrl_type                     int                 
activity_type                 str                 
production                    float               
attraction                    float  
>>>net.get_valid_link_attr_list() #link attributes
attr                          type                
length                        float               
lanes                         int                 
free_speed                    float               
capacity                      float               
link_type_name                str                 
allowed_uses                  str   
>>>net.get_valid_poi_attr_list() #poi attributes
attr                          type                
building                      str                 
activity_zone_id              int    
>>>net.get_valid_zone_id_list() #zone attributes
min zone id         max zone id         
1                   45      

"""Step 3: get network attributes value list"""
>>>pg.get_node_attr_value_list(net,'activity_type')
activity_type       number              
primary             240                 
motorway            19                  
tertiary            104                 
secondary           160                 
residential         21                  
poi                 1282                
unclassified        36                  
centroid node       45
>>>pg.get_link_attr_value_list(net,'link_type_name')
link_type_name      number              
primary             482                 
tertiary            295                 
motorway            22                  
secondary           381                 
residential         43                  
connector           2564  
>>>pg.get_poi_attr_value_list(net,'building')
building                      number              
yes                           999                 
courthouse                    1                   
place_of_worship              9                   
house                         5                   
commercial                    13                  
arts_centre                   1                   
office                        35 
...                           ...
>>>pg.get_zone_id_list(net)
zone_id             name                total_poi_count     total_production    total_attraction    
1                   A1                  96.0                844.0478253270337   684.8038331279233   
2                   A2                  44.0                742.3576762712639   668.437867088064    
3                   A3                  54.0                729.8692152026176   703.8141044522879   
4                   A4                  49.0                596.3070090494338   654.1352135049601   
5                   A5                  56.0                452.5258671580673   388.14464787057284  
...
"""Step 4: show network of different modes"""
>>>pg.showNetByAllMode(net) #all modes

"""Step 5: show network by node attribute"""
>>>pg.showNetByNodeAttr(net,{'activity_type':'primary'})

"""Step 6: show network by link attribute"""
>>>pg.showNetByLinkAttr(net,{'link_type_name':'secondary'})

>>>pg.showNetByLinkFreeSpeed(net)

"""Step 7 : show network by poi attribute"""
>>>pg.showNetByPOIAttr(net,{'activity_zone_id':(1,5)})

>>>pg.showNetByPOIAttractionHeat(net)

"""Step 8: show network by zone attribute"""
>>>pg.showNetByZoneDemandHeat(net,annot=False)

>>>pg.showNetByZoneDemandFlow(net,annot=True,bg=True)

>>>pg.showNetByZoneAgent(net,[(1,15),(16,5)])