vb_core

numpy.arange(100)

Benchmark setup

import numpy

Benchmark statement

numpy.arange(100)

Performance graph

numpy.array(1)

Benchmark setup

import numpy

Benchmark statement

numpy.array(1)

Performance graph

numpy.array([1])

Benchmark setup

import numpy

Benchmark statement

numpy.array([1])

Performance graph

numpy.array([])

Benchmark setup

import numpy

Benchmark statement

numpy.array([])

Performance graph

numpy.array(l)

Benchmark setup

import numpy
l = [numpy.arange(1000), numpy.arange(1000)];

Benchmark statement

numpy.array(l)

Performance graph

numpy.array(l100)

Benchmark setup

import numpy
l100 = range(100);

Benchmark statement

numpy.array(l100)

Performance graph

numpy.diag(l100)

Benchmark setup

import numpy
l100 = range(100);

Benchmark statement

numpy.diag(l100)

Performance graph

numpy.diagflat([l50, l50])

Benchmark setup

import numpy
l50 = range(50);

Benchmark statement

numpy.diagflat([l50, l50])

Performance graph

numpy.diagflat(l100)

Benchmark setup

import numpy
l100 = range(100);

Benchmark statement

numpy.diagflat(l100)

Performance graph

numpy.dstack(l)

Benchmark setup

import numpy
l = [numpy.arange(1000), numpy.arange(1000)];

Benchmark statement

numpy.dstack(l)

Performance graph

numpy.empty(100)

Benchmark setup

import numpy

Benchmark statement

numpy.empty(100)

Performance graph

numpy.eye(100)

Benchmark setup

import numpy

Benchmark statement

numpy.eye(100)

Performance graph

numpy.eye(3000)

Benchmark setup

import numpy

Benchmark statement

numpy.eye(3000)

Performance graph

numpy.hstack(l)

Benchmark setup

import numpy
l = [numpy.arange(1000), numpy.arange(1000)];

Benchmark statement

numpy.hstack(l)

Performance graph

numpy.identity(100)

Benchmark setup

import numpy

Benchmark statement

numpy.identity(100)

Performance graph

numpy.identity(3000)

Benchmark setup

import numpy

Benchmark statement

numpy.identity(3000)

Performance graph

numpy.ma.masked_array()

Benchmark setup

import numpy

Benchmark statement

numpy.ma.masked_array()

Performance graph

numpy.ma.masked_array(l100)

Benchmark setup

import numpy
l100 = range(100);

Benchmark statement

numpy.ma.masked_array(l100)

Performance graph

numpy.ma.masked_array(l100,t100)

Benchmark setup

import numpy
l100 = range(100); t100=[True]*100

Benchmark statement

numpy.ma.masked_array(l100,t100)

Performance graph

numpy.ones(100)

Benchmark setup

import numpy

Benchmark statement

numpy.ones(100)

Performance graph

numpy.tril(l10x10)

Benchmark setup

import numpy
l10x10 = numpy.ones((10,10));

Benchmark statement

numpy.tril(l10x10)

Performance graph

numpy.triu(l10x10)

Benchmark setup

import numpy
l10x10 = numpy.ones((10,10));

Benchmark statement

numpy.triu(l10x10)

Performance graph

numpy.vstack(l)

Benchmark setup

import numpy
l = [numpy.arange(1000), numpy.arange(1000)];

Benchmark statement

numpy.vstack(l)

Performance graph

numpy.zeros(100)

Benchmark setup

import numpy

Benchmark statement

numpy.zeros(100)

Performance graph