Examples¶

indices¶

In [1]:

import numpy as np
from spector import indices

ind = indices([0, 2])
ind

import numpy as np from spector import indices ind = indices([0, 2]) ind

Out[1]:

indices([2 0])

In [2]:

np.array(ind)

np.array(ind)

Out[2]:

array([2, 0])

In [3]:

1 in ind

1 in ind

Out[3]:

False

In [4]:

ind.add(1)

ind.add(1)

Out[4]:

True

In [5]:

ind.todense()

ind.todense()

Out[5]:

array([ True,  True,  True])

In [6]:

indices.fromdense([True, False, True])

indices.fromdense([True, False, True])

Out[6]:

indices([2 0])

vector¶

In [7]:

from spector import vector

vec = vector({0: 1.0, 2: 2.0, 4: 1.0})
vec

from spector import vector vec = vector({0: 1.0, 2: 2.0, 4: 1.0}) vec

Out[7]:

vector([4 2 0], [1. 2. 1.])

In [8]:

np.array(vec)

np.array(vec)

Out[8]:

array([1., 2., 1.])

In [9]:

vec[2] += 1.0
vec[2]

vec[2] += 1.0 vec[2]

Out[9]:

3.0

In [10]:

vec.sum()

vec.sum()

Out[10]:

5.0

In [11]:

vec.todense()

vec.todense()

Out[11]:

array([1., 0., 3., 0., 1.])

In [12]:

vector.fromdense([1, 0, 2, 0, 1])

vector.fromdense([1, 0, 2, 0, 1])

Out[12]:

vector([4 2 0], [1. 2. 1.])

matrix¶

In [13]:

from spector import matrix

mat = matrix({0: {1: 2.0}})
mat

from spector import matrix mat = matrix({0: {1: 2.0}}) mat

Out[13]:

matrix(spector.vector.vector, {0: vector([1], [2.])})

In [14]:

mat.row, mat.col, mat.data

mat.row, mat.col, mat.data

Out[14]:

(array([0]), array([1]), array([2.]))