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row slice benchmark

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rasbt 2014-04-26 14:47:03 -04:00
parent cabe3a8c55
commit 43171df6ed
2 changed files with 94 additions and 20 deletions
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57
.ipynb_checkpoints/timeit_tests-checkpoint.ipynb
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@ -1,7 +1,7 @@
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@ -1486,6 +1486,8 @@
"cell_type": "code", "cell_type": "code",
"collapsed": false, "collapsed": false,
"input": [ "input": [
"# 1st column, e.g., A[:,0:1]\n",
"\n",
"def colvec_method2(A):\n", "def colvec_method2(A):\n",
" for idx in range(A.shape[1]):\n", " for idx in range(A.shape[1]):\n",
" colvec = A[:,idx:idx+1]\n", " colvec = A[:,idx:idx+1]\n",
@ -1500,9 +1502,11 @@
"cell_type": "code", "cell_type": "code",
"collapsed": false, "collapsed": false,
"input": [ "input": [
"# 1st column, e.g., A[:,0].reshape(-1,1)\n",
"\n",
"def colvec_method3(A):\n", "def colvec_method3(A):\n",
" for idx in range(A.shape[1]):\n", " for idx in range(A.shape[1]):\n",
" colvec = A[:,idx].reshape(A.shape[0],1)\n", " colvec = A[:,idx].reshape(-1,1)\n",
" yield colvec" " yield colvec"
], ],
"language": "python", "language": "python",
@ -1514,6 +1518,8 @@
"cell_type": "code", "cell_type": "code",
"collapsed": false, "collapsed": false,
"input": [ "input": [
"# 1st column, e.g., np.vstack(A[:,0]\n",
"\n",
"def colvec_method4(A):\n", "def colvec_method4(A):\n",
" for idx in range(A.shape[1]):\n", " for idx in range(A.shape[1]):\n",
" colvec = np.vstack(A[:,idx])\n", " colvec = np.vstack(A[:,idx])\n",
@ -1528,6 +1534,8 @@
"cell_type": "code", "cell_type": "code",
"collapsed": false, "collapsed": false,
"input": [ "input": [
"# 1st column, e.g., np.row_stack(A[:,0])\n",
"\n",
"def colvec_method5(A):\n", "def colvec_method5(A):\n",
" for idx in range(A.shape[1]):\n", " for idx in range(A.shape[1]):\n",
" colvec = np.row_stack(A[:,idx])\n", " colvec = np.row_stack(A[:,idx])\n",
@ -1542,6 +1550,8 @@
"cell_type": "code", "cell_type": "code",
"collapsed": false, "collapsed": false,
"input": [ "input": [
"# 1st column, e.g., np.column_stack((A[:,0],))\n",
"\n",
"def colvec_method6(A):\n", "def colvec_method6(A):\n",
" for idx in range(A.shape[1]):\n", " for idx in range(A.shape[1]):\n",
" colvec = np.column_stack((A[:,idx],))\n", " colvec = np.column_stack((A[:,idx],))\n",
@ -1552,6 +1562,22 @@
"outputs": [], "outputs": [],
"prompt_number": 74 "prompt_number": 74
}, },
{
"cell_type": "code",
"collapsed": false,
"input": [
"# 1st column, e.g., A[:,[0]]\n",
"\n",
"def colvec_method7(A):\n",
" for idx in range(A.shape[1]):\n",
" colvec = A[:,[idx]]\n",
" yield colvec"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 89
},
{ {
"cell_type": "code", "cell_type": "code",
"collapsed": false, "collapsed": false,
@ -1576,7 +1602,8 @@
"for method in [\n", "for method in [\n",
" colvec_method1, colvec_method2, \n", " colvec_method1, colvec_method2, \n",
" colvec_method3, colvec_method4, \n", " colvec_method3, colvec_method4, \n",
" colvec_method5, colvec_method6]:\n", " colvec_method5, colvec_method6,\n",
" colvec_method7]:\n",
" print('\\nTest:', method.__name__)\n", " print('\\nTest:', method.__name__)\n",
" %timeit test_method(colvec_method2, A)" " %timeit test_method(colvec_method2, A)"
], ],
@ -1589,7 +1616,7 @@
"text": [ "text": [
"\n", "\n",
"Test: colvec_method1\n", "Test: colvec_method1\n",
"100000 loops, best of 3: 17.7 \u00b5s per loop" "100000 loops, best of 3: 16.6 \u00b5s per loop"
] ]
}, },
{ {
@ -1599,7 +1626,7 @@
"\n", "\n",
"\n", "\n",
"Test: colvec_method2\n", "Test: colvec_method2\n",
"10000 loops, best of 3: 16.4 \u00b5s per loop" "10000 loops, best of 3: 16.1 \u00b5s per loop"
] ]
}, },
{ {
@ -1609,7 +1636,7 @@
"\n", "\n",
"\n", "\n",
"Test: colvec_method3\n", "Test: colvec_method3\n",
"100000 loops, best of 3: 17.3 \u00b5s per loop" "100000 loops, best of 3: 16.2 \u00b5s per loop"
] ]
}, },
{ {
@ -1619,7 +1646,7 @@
"\n", "\n",
"\n", "\n",
"Test: colvec_method4\n", "Test: colvec_method4\n",
"10000 loops, best of 3: 16.4 \u00b5s per loop" "100000 loops, best of 3: 16.4 \u00b5s per loop"
] ]
}, },
{ {
@ -1629,7 +1656,7 @@
"\n", "\n",
"\n", "\n",
"Test: colvec_method5\n", "Test: colvec_method5\n",
"100000 loops, best of 3: 17.1 \u00b5s per loop" "100000 loops, best of 3: 16.2 \u00b5s per loop"
] ]
}, },
{ {
@ -1639,7 +1666,17 @@
"\n", "\n",
"\n", "\n",
"Test: colvec_method6\n", "Test: colvec_method6\n",
"100000 loops, best of 3: 16.6 \u00b5s per loop" "100000 loops, best of 3: 16.8 \u00b5s per loop"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"\n",
"Test: colvec_method7\n",
"100000 loops, best of 3: 16.3 \u00b5s per loop"
] ]
}, },
{ {
@ -1650,7 +1687,7 @@
] ]
} }
], ],
"prompt_number": 86 "prompt_number": 91
}, },
{ {
"cell_type": "code", "cell_type": "code",

57
benchmarks/timeit_tests.ipynb
View File

@ -1,7 +1,7 @@
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"name": "", "name": "",
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}, },
"nbformat": 3, "nbformat": 3,
"nbformat_minor": 0, "nbformat_minor": 0,
@ -1486,6 +1486,8 @@
"cell_type": "code", "cell_type": "code",
"collapsed": false, "collapsed": false,
"input": [ "input": [
"# 1st column, e.g., A[:,0:1]\n",
"\n",
"def colvec_method2(A):\n", "def colvec_method2(A):\n",
" for idx in range(A.shape[1]):\n", " for idx in range(A.shape[1]):\n",
" colvec = A[:,idx:idx+1]\n", " colvec = A[:,idx:idx+1]\n",
@ -1500,9 +1502,11 @@
"cell_type": "code", "cell_type": "code",
"collapsed": false, "collapsed": false,
"input": [ "input": [
"# 1st column, e.g., A[:,0].reshape(-1,1)\n",
"\n",
"def colvec_method3(A):\n", "def colvec_method3(A):\n",
" for idx in range(A.shape[1]):\n", " for idx in range(A.shape[1]):\n",
" colvec = A[:,idx].reshape(A.shape[0],1)\n", " colvec = A[:,idx].reshape(-1,1)\n",
" yield colvec" " yield colvec"
], ],
"language": "python", "language": "python",
@ -1514,6 +1518,8 @@
"cell_type": "code", "cell_type": "code",
"collapsed": false, "collapsed": false,
"input": [ "input": [
"# 1st column, e.g., np.vstack(A[:,0]\n",
"\n",
"def colvec_method4(A):\n", "def colvec_method4(A):\n",
" for idx in range(A.shape[1]):\n", " for idx in range(A.shape[1]):\n",
" colvec = np.vstack(A[:,idx])\n", " colvec = np.vstack(A[:,idx])\n",
@ -1528,6 +1534,8 @@
"cell_type": "code", "cell_type": "code",
"collapsed": false, "collapsed": false,
"input": [ "input": [
"# 1st column, e.g., np.row_stack(A[:,0])\n",
"\n",
"def colvec_method5(A):\n", "def colvec_method5(A):\n",
" for idx in range(A.shape[1]):\n", " for idx in range(A.shape[1]):\n",
" colvec = np.row_stack(A[:,idx])\n", " colvec = np.row_stack(A[:,idx])\n",
@ -1542,6 +1550,8 @@
"cell_type": "code", "cell_type": "code",
"collapsed": false, "collapsed": false,
"input": [ "input": [
"# 1st column, e.g., np.column_stack((A[:,0],))\n",
"\n",
"def colvec_method6(A):\n", "def colvec_method6(A):\n",
" for idx in range(A.shape[1]):\n", " for idx in range(A.shape[1]):\n",
" colvec = np.column_stack((A[:,idx],))\n", " colvec = np.column_stack((A[:,idx],))\n",
@ -1552,6 +1562,22 @@
"outputs": [], "outputs": [],
"prompt_number": 74 "prompt_number": 74
}, },
{
"cell_type": "code",
"collapsed": false,
"input": [
"# 1st column, e.g., A[:,[0]]\n",
"\n",
"def colvec_method7(A):\n",
" for idx in range(A.shape[1]):\n",
" colvec = A[:,[idx]]\n",
" yield colvec"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 89
},
{ {
"cell_type": "code", "cell_type": "code",
"collapsed": false, "collapsed": false,
@ -1576,7 +1602,8 @@
"for method in [\n", "for method in [\n",
" colvec_method1, colvec_method2, \n", " colvec_method1, colvec_method2, \n",
" colvec_method3, colvec_method4, \n", " colvec_method3, colvec_method4, \n",
" colvec_method5, colvec_method6]:\n", " colvec_method5, colvec_method6,\n",
" colvec_method7]:\n",
" print('\\nTest:', method.__name__)\n", " print('\\nTest:', method.__name__)\n",
" %timeit test_method(colvec_method2, A)" " %timeit test_method(colvec_method2, A)"
], ],
@ -1589,7 +1616,7 @@
"text": [ "text": [
"\n", "\n",
"Test: colvec_method1\n", "Test: colvec_method1\n",
"100000 loops, best of 3: 17.7 \u00b5s per loop" "100000 loops, best of 3: 16.6 \u00b5s per loop"
] ]
}, },
{ {
@ -1599,7 +1626,7 @@
"\n", "\n",
"\n", "\n",
"Test: colvec_method2\n", "Test: colvec_method2\n",
"10000 loops, best of 3: 16.4 \u00b5s per loop" "10000 loops, best of 3: 16.1 \u00b5s per loop"
] ]
}, },
{ {
@ -1609,7 +1636,7 @@
"\n", "\n",
"\n", "\n",
"Test: colvec_method3\n", "Test: colvec_method3\n",
"100000 loops, best of 3: 17.3 \u00b5s per loop" "100000 loops, best of 3: 16.2 \u00b5s per loop"
] ]
}, },
{ {
@ -1619,7 +1646,7 @@
"\n", "\n",
"\n", "\n",
"Test: colvec_method4\n", "Test: colvec_method4\n",
"10000 loops, best of 3: 16.4 \u00b5s per loop" "100000 loops, best of 3: 16.4 \u00b5s per loop"
] ]
}, },
{ {
@ -1629,7 +1656,7 @@
"\n", "\n",
"\n", "\n",
"Test: colvec_method5\n", "Test: colvec_method5\n",
"100000 loops, best of 3: 17.1 \u00b5s per loop" "100000 loops, best of 3: 16.2 \u00b5s per loop"
] ]
}, },
{ {
@ -1639,7 +1666,17 @@
"\n", "\n",
"\n", "\n",
"Test: colvec_method6\n", "Test: colvec_method6\n",
"100000 loops, best of 3: 16.6 \u00b5s per loop" "100000 loops, best of 3: 16.8 \u00b5s per loop"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"\n",
"Test: colvec_method7\n",
"100000 loops, best of 3: 16.3 \u00b5s per loop"
] ]
}, },
{ {
@ -1650,7 +1687,7 @@
] ]
} }
], ],
"prompt_number": 86 "prompt_number": 91
}, },
{ {
"cell_type": "code", "cell_type": "code",