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@skuschel
Last active November 26, 2015 22:14
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{
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"metadata": {
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"text": [
"1.10.1\n"
]
}
],
"source": [
"import numpy as np\n",
"print(np.__version__)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Access so an element of an array is quie fast"
]
},
{
"cell_type": "code",
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"text": [
"CPU times: user 0 ns, sys: 0 ns, total: 0 ns\n",
"Wall time: 198 µs\n",
"CPU times: user 0 ns, sys: 0 ns, total: 0 ns\n",
"Wall time: 20.7 µs\n"
]
},
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"source": [
"%time arr = np.zeros((1000,1000))\n",
"%time arr[500,500]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Trying to access a single element of an array that is within a dtype definition takes almost 4 seconds (5 order of magnitude more?!)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 0 ns, sys: 0 ns, total: 0 ns\n",
"Wall time: 74.1 µs\n",
"CPU times: user 3.65 s, sys: 293 ms, total: 3.95 s\n",
"Wall time: 3.94 s\n"
]
},
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"source": [
"mydtype = np.dtype([('metainformation', np.float64), ('data', np.float64, (1000,1000))])\n",
"%time strarr = np.zeros(25, dtype=mydtype)\n",
"%time strarr[2]['data'][500,500]"
]
},
{
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"execution_count": null,
"metadata": {
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