Code for visualizations

In [1]:

    

import sys
sys.path.append('./graphparser/')
import graphparser as gp
import pandas as pd
import custom_meter_graph as cmg
import logging,sys,codecs,re
reload (gp)
reload (cmg)#,pd,cmg)
pp = gp.GraphParser('settings/urdu-meter.yaml',blank=' ')


    

    




Couldn't import dot_parser, loading of dot files will not be possible.

In [2]:

    

meter = '=-===-===-===-='
scanner = cmg.CustomMeterGraph(meter)
df = pd.DataFrame(columns = [x for x in meter])
df


    

    
Out[2]:






  

    

      

      
=
      
-
      
=
      
=
      
=
      
-
      
=
      
=
      
=
      
-
      
=
      
=
      
=
      
-
      
=
    
  
  

  

In [3]:

    

for i,x in enumerate(['naqsh faryaadii hai kis kii sho;xii-e ta;hriir kaa', 
                      'kaa;ga;zii hai pairahan har paikar-e ta.sviir kaa']):
    scan = scanner.graph_scan(x)[0]#'naqsh faryaadii hai kis kii sho;xii-e ta;hriir kaa')[0]
    matched_tokens=[''.join(m.matched_tokens) for m in scan.matches]
    orig_tokens=[''.join(m.orig_tokens) for m in scan.matches]
    phonetic_tokens = [m.ipa for m in scan.matches]
    df.loc['line '+str(i+1)]=orig_tokens
    df.loc['line '+str(i+1)+ ' IPA']=phonetic_tokens
df.sort_index(inplace=True)
df


    

    
Out[3]:






  

    

      

      
=
      
-
      
=
      
=
      
=
      
-
      
=
      
=
      
=
      
-
      
=
      
=
      
=
      
-
      
=
    
  
  

    

      
line 1
      
naq
      
sh
      
far
      
yaa
      
dii
      
hai
      
kis
      
kii
      
sho
      
;xii
      
-e
      
ta;h
      
rii
      
r
      
kaa
    
    

      
line 1 IPA
      
nəq
      
ʃ
      
fəɾ
      
jaː
      
d̪iː
      
ɦɛˑ
      
kɪs
      
kiː
      
ʃoː
      
xiˑ
      
eː
      
t̪əɦ
      
ɾiː
      
ɾ
      
kaː
    
    

      
line 2
      
kaa
      
;ga
      
;zii
      
hai
      
pai
      
ra
      
han
      
har
      
pai
      
ka
      
r-e
      
ta.s
      
vii
      
r
      
kaa
    
    

      
line 2 IPA
      
kaː
      
ɣə
      
ziː
      
ɦɛː
      
pɛː
      
ɾə
      
ɦən
      
ɦəɾ
      
pɛː
      
kə
      
ɾeː
      
t̪əs
      
ʋiː
      
ɾ
      
kaː
    
  

In [4]:

    

def draw_meter(m, rankdir='TB'):
    import networkx as nx
    from IPython.display import Image

    g = m.DG

    for i,n in g.node.iteritems():
        labels = {'0': 'start', '=': u'=', '-': u'-'}
        n['label'] = labels[ n['type'] ]

        if n['type']=='0':
            n['color'] = 'green'
            n['shape'] = 'diamond'
        elif n['type']=='=':
            n['shape'] = 'oval'
        else:
            assert(n['type']=='-')
            n['shape'] = 'circle'
        if 'ending' in n or 'meter_type' in n:
            n['color'] = 'red' 
        
    d = nx.to_pydot(g )
    d.set_rankdir(rankdir)


    #d.set_label(0,  'hi')
    png_str = d.create_png()
    return png_str

    #Image(data=png_str)
#    return Image


from IPython.display import Image

scanner_classical = cmg.CustomMeterGraph('=-===-===-=(-)')
png = draw_meter(scanner_classical,rankdir='LR')

with open('classical_meter.png','w') as f: 
    f.write(png)#draw_meter(scanner))

Image(filename='classical_meter.png')# draw_meter(scanner) )


    

    
Out[4]:

In [5]:

    

scanner_modern = cmg.CustomMeterGraph('[=-==]+=-=(-)')
png = draw_meter(scanner_modern,rankdir='LR')

with open('modern_meter.png','w') as f: 
    f.write(png)#draw_meter(scanner))

Image(filename='modern_meter.png')# draw_meter(scanner) )


    

    
Out[5]:

In [6]:

    

import meter_graph as mg
ghalib_meters = mg.MeterGraph()
ghalib_png = draw_meter(ghalib_meters)
with open('ghalib_meters.png','w') as f: 
    f.write(ghalib_png)#draw_meter(scanner))

Image(filename='ghalib_meters.png')


    

    
Out[6]:

In [15]:

    

import scanning

hindi_scanner = scanning.get_hindi_scanner()

hindi_png=draw_meter(hindi_scanner)
with open('hindi_meter.png','w') as f: 
    f.write(hindi_png)#draw_meter(scanner))

Image(filename='hindi_meter.png')


    

    
Out[15]:

In [16]:

    

lines = [' bas dekhaa aur phir bhuul gayaa',' jab ;husn nigaaho;n me;n aayaa']
df  = []
def count(x):
    count=0
    for c in x:
        if c=='=':
            count+=2 
        else: 
            count+=1
    return count
for x in lines:
    scan = hindi_scanner.graph_scan(x)[0].scan
    df.append({ 'text':x, 'scan': scan, 'count':count(scan)})

pd.DataFrame(df, columns=['text','scan','count'])


    

    
Out[16]:






  

    

      

      
text
      
scan
      
count
    
  
  

    

      
0
      
bas dekhaa aur phir bhuul gayaa
      
======--=
      
16
    
    

      
1
      
jab ;husn nigaaho;n me;n aayaa
      
==--=====
      
16
    
  

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