dict with recursive operations (algebraic, set, logicial)
Project description
Vector Dict provides all the expected operations on a dict as if it was a vector.
a * vector (where a can be a scalar or a vector)
vector1 + vector2
vector1 * vector2
a / b (where at least one of a and b is a vector)
cos(vector1,vector2) cosine similarity
jaccard(vector1, vector2)
VectorDict is derived from defautdict thus it works the same for initialisation.
Properties being propagated to each level, it works on arbitrary depth dict
It provides some helpful helpers : path_from_array as_vector_iter as_row_iter
#!/usr/bin/env python
from vector_dict import VectorDict
a = VectorDict( int, dict( x=1, y=1 ) )
b = VectorDict( int, dict( x=1, y=0, z=0) )
a + b
# Out : defaultdict(<type ‘int’>, {‘y’: 1, ‘x’: 2, ‘z’ : 0 })
a * b
#Out : defaultdict(<class ‘vector_dict.VectorDict’>, {‘y’: 0, ‘x’: 1})
print a.cos(b)
# Out : 0.7071067811865475
# sqrt(2) / 2 = acos(45°)
a.dot(b)
# Out : 1.0
a.norm()
# 1.4142135623730951
a.pprint()
# u’y’=1 # u’x’=1
Helpers
as_vector_iter
A generator of the vector in the form : path to key in the form of a set of keys , value (leaf)
a = VectorDict( int, dict( a=1, b = VectorDict(int, dict(c=1))))
[ (k, v) for k,v in a.as_vector_iter() ]
# Out: [((‘a’,), 1), ((‘b’, ‘c’), 1)]
as_row_iter
A generator of the vector as either tuple of ( (path), obj ) or [ [ path + obj ] ] used for instance to ready a dict for a csv
a = VectorDict( int, dict( a=1, b = VectorDict(int, dict(c=1))))
[ e for e in a.as_row_iter(flatten=False) ]
# Out : [((‘a’,), 1), ((‘b’, ‘c’), 1)]
[ e for e in a.as_row_iter(flatten=True) ]
# Out : [[‘a’, 1], [‘b’, ‘c’, 1]]
from_path_array
Build an intricated dict from an array representing a flat array of keys ending by a value
path_from_array( [ “a”, “b” , 1 ])
# Out : defaultdict(<class ‘vector_dict.VectorDict’>, {‘a’: defaultdict(<class ‘vector_dict.VectorDict’>, {‘b’: 1})})
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