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Created November 16, 2015 14:48
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Untitled.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"# create an array of normally-distributed random numbers\n",
"a = np.random.randn(1000)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"dask.array<atop-9f..., shape=(), dtype=float64, chunksize=()>\n"
]
}
],
"source": [
"import dask.array as da\n",
"\n",
"# create a dask array from the above array\n",
"a2 = da.from_array(a, chunks=200)\n",
"\n",
"# multiply this array by a factor\n",
"b2 = a2 * 4\n",
"\n",
"# find the minimum value\n",
"b2_min = b2.min()\n",
"print(b2_min)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": "",
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%matplotlib inline\n",
"\n",
"from dask.dot import dot_graph\n",
"dot_graph(b2_min.dask)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
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" ('elemwise-0999dfe8b9f21b1fafba707314f33b3d',\n",
" 2): (<function dask.array.core.partial_by_order.<locals>.f>, ('from-array-a9d179ffe200871f33b844d80bc1d769',\n",
" 2)),\n",
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" 2.32510346e-01]),\n",
" ('elemwise-0999dfe8b9f21b1fafba707314f33b3d',\n",
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" 0)),\n",
" ('from-array-a9d179ffe200871f33b844d80bc1d769',\n",
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" ('atop-b5328a312cff1d85d31a3825478ba2bb',\n",
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" 0)),\n",
" ('elemwise-0999dfe8b9f21b1fafba707314f33b3d',\n",
" 4): (<function dask.array.core.partial_by_order.<locals>.f>, ('from-array-a9d179ffe200871f33b844d80bc1d769',\n",
" 4)),\n",
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" 3): (<function dask.array.core.partial_by_order.<locals>.f>, ('from-array-a9d179ffe200871f33b844d80bc1d769',\n",
" 3)),\n",
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" 4): (functools.partial(<function amin at 0x1045680d0>, keepdims=True, axis=(0,)), ('elemwise-0999dfe8b9f21b1fafba707314f33b3d',\n",
" 4)),\n",
" ('elemwise-0999dfe8b9f21b1fafba707314f33b3d',\n",
" 1): (<function dask.array.core.partial_by_order.<locals>.f>, ('from-array-a9d179ffe200871f33b844d80bc1d769',\n",
" 1)),\n",
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" 3): (functools.partial(<function amin at 0x1045680d0>, keepdims=True, axis=(0,)), ('elemwise-0999dfe8b9f21b1fafba707314f33b3d',\n",
" 3)),\n",
" ('from-array-a9d179ffe200871f33b844d80bc1d769',\n",
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" ('atop-b5328a312cff1d85d31a3825478ba2bb',\n",
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" 1)),\n",
" ('from-array-a9d179ffe200871f33b844d80bc1d769',\n",
" 2): (<function dask.array.core.getarray>, 'from-array-a9d179ffe200871f33b844d80bc1d769', (slice(400, 600, None),))}"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"b2_min.dask"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.0"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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