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jakirkham/zarr_quick_demo.ipynb

Last active February 26, 2020 18:14
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Zarr quick demo for lightning talk
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zarr_quick_demo.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from pprint import pprint\n",
"\n",
"import numpy as np\n",
"import zarr"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "fa1a11ec8b284c0c8b723e0adf309fa3",
"version_major": 2,
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},
"text/plain": [
"Tree(nodes=(Node(disabled=True, name='/'),))"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"store = dict()\n",
"g = zarr.group(store)\n",
"g.tree()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "39778166d84f45f692eddbec25391af5",
"version_major": 2,
"version_minor": 0
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"text/plain": [
"Tree(nodes=(Node(disabled=True, name='/', nodes=(Node(disabled=True, name='mygroup', opened=False),)),))"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"g_mygroup = g.create_group(\"mygroup\")\n",
"g.tree()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "258b1b589537453b81168e5edf10d6c5",
"version_major": 2,
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},
"text/plain": [
"Tree(nodes=(Node(disabled=True, name='/', nodes=(Node(disabled=True, icon='table', name='data1 (5, 6) int64', …"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data1 = g.create_dataset(\"data1\", dtype=int, shape=(5, 6), chunks=(2, 3))\n",
"data2 = g_mygroup.create_dataset(\"data2\", dtype=float, shape=(10, 12), chunks=(2, 3))\n",
"g.tree()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'.zgroup': b'{\\n \"zarr_format\": 2\\n}',\n",
" 'data1/.zarray': b'{\\n \"chunks\": [\\n 2,\\n 3\\n ],\\n \"c'\n",
" b'ompressor\": {\\n \"blocksize\": 0,\\n \"clevel\": '\n",
" b'5,\\n \"cname\": \"lz4\",\\n \"id\": \"blosc\",\\n '\n",
" b' \"shuffle\": 1\\n },\\n \"dtype\": \"<i8\",\\n \"fill_valu'\n",
" b'e\": 0,\\n \"filters\": null,\\n \"order\": \"C\",\\n \"shape'\n",
" b'\": [\\n 5,\\n 6\\n ],\\n \"zarr_format\": '\n",
" b'2\\n}',\n",
" 'mygroup/.zgroup': b'{\\n \"zarr_format\": 2\\n}',\n",
" 'mygroup/data2/.zarray': b'{\\n \"chunks\": [\\n 2,\\n 3\\n ]'\n",
" b',\\n \"compressor\": {\\n \"blocksize\": 0,\\n '\n",
" b' \"clevel\": 5,\\n \"cname\": \"lz4\",\\n '\n",
" b' \"id\": \"blosc\",\\n \"shuffle\": 1\\n },\\n '\n",
" b' \"dtype\": \"<f8\",\\n \"fill_value\": 0.0,\\n \"fi'\n",
" b'lters\": null,\\n \"order\": \"C\",\\n \"shape\": [\\n '\n",
" b' 10,\\n 12\\n ],\\n \"zarr_format\": '\n",
" b'2\\n}'}\n"
]
}
],
"source": [
"pprint(store)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"data2[:3, :4] = np.arange(12, dtype=data2.dtype).reshape(3, 4)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'.zgroup': b'{\\n \"zarr_format\": 2\\n}',\n",
" 'data1/.zarray': b'{\\n \"chunks\": [\\n 2,\\n 3\\n ],\\n \"c'\n",
" b'ompressor\": {\\n \"blocksize\": 0,\\n \"clevel\": '\n",
" b'5,\\n \"cname\": \"lz4\",\\n \"id\": \"blosc\",\\n '\n",
" b' \"shuffle\": 1\\n },\\n \"dtype\": \"<i8\",\\n \"fill_valu'\n",
" b'e\": 0,\\n \"filters\": null,\\n \"order\": \"C\",\\n \"shape'\n",
" b'\": [\\n 5,\\n 6\\n ],\\n \"zarr_format\": '\n",
" b'2\\n}',\n",
" 'mygroup/.zgroup': b'{\\n \"zarr_format\": 2\\n}',\n",
" 'mygroup/data2/.zarray': b'{\\n \"chunks\": [\\n 2,\\n 3\\n ]'\n",
" b',\\n \"compressor\": {\\n \"blocksize\": 0,\\n '\n",
" b' \"clevel\": 5,\\n \"cname\": \"lz4\",\\n '\n",
" b' \"id\": \"blosc\",\\n \"shuffle\": 1\\n },\\n '\n",
" b' \"dtype\": \"<f8\",\\n \"fill_value\": 0.0,\\n \"fi'\n",
" b'lters\": null,\\n \"order\": \"C\",\\n \"shape\": [\\n '\n",
" b' 10,\\n 12\\n ],\\n \"zarr_format\": '\n",
" b'2\\n}',\n",
" 'mygroup/data2/0.0': b'\\x02\\x013\\x080\\x00\\x00\\x000\\x00\\x00\\x00@\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\xf0?\\x00\\x00\\x00\\x00\\x00\\x00\\x00@'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00\\x10@\\x00\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x14@\\x00\\x00\\x00\\x00\\x00\\x00\\x18@',\n",
" 'mygroup/data2/0.1': b'\\x02\\x013\\x080\\x00\\x00\\x000\\x00\\x00\\x00@\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00\\x08@\\x00\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00\\x1c@\\x00\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00',\n",
" 'mygroup/data2/1.0': b'\\x02\\x013\\x080\\x00\\x00\\x000\\x00\\x00\\x00@\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00 @\\x00\\x00\\x00\\x00\\x00\\x00\"@'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00$@\\x00\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00',\n",
" 'mygroup/data2/1.1': b'\\x02\\x013\\x080\\x00\\x00\\x000\\x00\\x00\\x00@\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00&@\\x00\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00'\n",
" b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00'}\n"
]
}
],
"source": [
"pprint(store)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 0., 1., 2., 3., 0.],\n",
" [ 4., 5., 6., 7., 0.],\n",
" [ 8., 9., 10., 11., 0.],\n",
" [ 0., 0., 0., 0., 0.]])"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data2[:4, :5]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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",
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