

In [1]:

    
import dendropy
import pandas as pd



In [2]:

    
data = pd.read_csv('PyronParityData.csv', index_col=0, header=False)



In [99]:

    
taxa = dendropy.TaxonSet()
mle = dendropy.Tree.get_from_path('./Trees/garli_opt/pbnoterm', 'newick', taxon_set=taxa, preserve_underscores=True)



In [100]:

    
for idx, nd in enumerate(mle.postorder_node_iter()):
    if nd.label is None:
        lookup = '{}'.format(nd.taxon)
        nd.label = int(data.ix[lookup])
    else: 
        pass



In [101]:

    
putative_c = []
putative_co = []
total = []
childs = []
for index, node in enumerate(mle.postorder_node_iter()):
    total.append(index)
    if node.parent_node is None:
        pass
    elif .5 < float(node.label) < 1 or float(node.label) == 0:    #Is likely oviparous 
        if float(node.parent_node.label) < .5 : #List of nodes that demonstrate change away from oviparity. 
            if node.taxon is not None :
                putative_co.append([node.parent_node.label, node.taxon])
            else:
                putative_co.append(node.parent_node.label)
                for nd in node.child_nodes():
#                    print nd.taxon
                     pass
    elif 0 < float(node.label) < .5 or float(node.label) == 1: 
            if float(node.parent_node.label) > .5: 
                putative_c.append([node.parent_node.label,node.taxon])      
print len(putative_c), 'changes to viviparity' 
print len(putative_co), 'reversions to oviparity'









    



61 changes to viviparity
61 reversions to oviparity

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