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Demonstration of slow indexing with structured arrays
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"worksheets": [
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"cells": [
{
"cell_type": "code",
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"input": [
"import numpy as np\n",
"from numpy.random import randn, randint"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
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{
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"input": [
"nrows, ncols = 365, 10000"
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{
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"input": [
"items = np.rec.fromarrays(randn(2,nrows, ncols), names=['widgets','gadgets'])"
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"outputs": [],
"prompt_number": 3
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"input": [
"row_idx = randint(0, nrows, ncols)\n",
"col_idx = np.arange(ncols)"
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"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
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{
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"input": [
"filtered_items = items[row_idx, col_idx]\n",
"filtered_items.shape"
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"outputs": [
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"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": [
"(10000L,)"
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}
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"prompt_number": 6
},
{
"cell_type": "code",
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"input": [
"%timeit filtered_items = items[row_idx, col_idx]"
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"outputs": [
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"output_type": "stream",
"stream": "stdout",
"text": [
"100 loops, best of 3: 3.46 ms per loop\n"
]
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"prompt_number": 7
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"cell_type": "code",
"collapsed": false,
"input": [
"%%timeit \n",
"widgets = items['widgets'][row_idx, col_idx]\n",
"gadgets = items['gadgets'][row_idx, col_idx]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"1000 loops, best of 3: 1.59 ms per loop\n"
]
}
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"prompt_number": 8
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"input": [],
"language": "python",
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