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kwilcox/convert.ipynb

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convert.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\n",
"import xarray as xr\n",
"import simplejson as json"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"class BasicNumpyEncoder(json.JSONEncoder):\n",
"\n",
" def default(self, obj):\n",
" \"\"\"\n",
" If input object is an ndarray it will be converted into a list\n",
" If input is a numpy generic it is converted to a python scalar\n",
" \"\"\"\n",
" if isinstance(obj, np.ndarray):\n",
" return obj.tolist()\n",
" elif isinstance(obj, np.generic):\n",
" return np.asscalar(obj)\n",
" # Let the base class default method raise the TypeError\n",
" return json.JSONEncoder(self, obj)"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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" \"salinity\": {\n",
" \"attrs\": {\n",
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" \"long_name\": \"Sea Water Practical Salinity\",\n",
" \"standard_name\": \"sea_water_salinity\",\n",
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" ],\n",
" \"dims\": [\n",
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" ]\n",
" }\n",
" },\n",
" \"dims\": {\n",
" \"profile\": 1,\n",
" \"z\": 98\n",
" }\n",
"}\n"
]
}
],
"source": [
"ds = xr.open_dataset('TN179_2005.nc', decode_times=False)\n",
"d = ds.to_dict()\n",
"print(json.dumps(d, indent=4, cls=BasicNumpyEncoder))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"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",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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