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Created September 6, 2017 18:26
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issue_example.ipynb
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{
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"start_time": "2017-09-06T18:25:51.281464Z",
"end_time": "2017-09-06T18:25:51.872056Z"
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},
"cell_type": "code",
"source": "import numpy as np\nimport xarray as xr\nimport pandas as pd",
"execution_count": 2,
"outputs": []
},
{
"metadata": {
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"start_time": "2017-09-06T18:25:54.380030Z",
"end_time": "2017-09-06T18:25:54.396271Z"
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"cell_type": "code",
"source": "xr.__version__",
"execution_count": 3,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 3,
"data": {
"text/plain": "'0.9.6'"
},
"metadata": {}
}
]
},
{
"metadata": {
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"start_time": "2017-09-06T18:25:59.250675Z",
"end_time": "2017-09-06T18:25:59.257424Z"
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"cell_type": "code",
"source": "data = np.random.rand(4, 3)\nlocs = ['IA', 'IL', 'IN']\ntimes = pd.date_range('2000-01-01', periods=4)\nfoo = xr.DataArray(data, coords=[times, locs], dims=['time', 'space'])\nfoo.name = 'foo'",
"execution_count": 4,
"outputs": []
},
{
"metadata": {
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"start_time": "2017-09-06T18:26:00.151710Z",
"end_time": "2017-09-06T18:26:00.177438Z"
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"trusted": true,
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"cell_type": "code",
"source": "days, datasets = zip(*foo.groupby('time.day'))\npaths = ['%s.nc' % y for y in days]",
"execution_count": 5,
"outputs": []
},
{
"metadata": {
"ExecuteTime": {
"start_time": "2017-09-06T18:26:01.181316Z",
"end_time": "2017-09-06T18:26:01.192569Z"
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"cell_type": "code",
"source": "datasets",
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 6,
"data": {
"text/plain": "(<xarray.DataArray 'foo' (time: 1, space: 3)>\n array([[ 0.734909, 0.737181, 0.525171]])\n Coordinates:\n * time (time) datetime64[ns] 2000-01-01\n * space (space) |S2 'IA' 'IL' 'IN',\n <xarray.DataArray 'foo' (time: 1, space: 3)>\n array([[ 0.559304, 0.955762, 0.557867]])\n Coordinates:\n * time (time) datetime64[ns] 2000-01-02\n * space (space) |S2 'IA' 'IL' 'IN',\n <xarray.DataArray 'foo' (time: 1, space: 3)>\n array([[ 0.498528, 0.089926, 0.834843]])\n Coordinates:\n * time (time) datetime64[ns] 2000-01-03\n * space (space) |S2 'IA' 'IL' 'IN',\n <xarray.DataArray 'foo' (time: 1, space: 3)>\n array([[ 0.49933 , 0.389663, 0.180629]])\n Coordinates:\n * time (time) datetime64[ns] 2000-01-04\n * space (space) |S2 'IA' 'IL' 'IN')"
},
"metadata": {}
}
]
},
{
"metadata": {
"ExecuteTime": {
"start_time": "2017-09-06T18:26:02.262110Z",
"end_time": "2017-09-06T18:26:02.581409Z"
},
"trusted": true
},
"cell_type": "code",
"source": "xr.save_mfdataset(datasets, paths)",
"execution_count": 7,
"outputs": [
{
"output_type": "error",
"ename": "TypeError",
"evalue": "DataArray.name or Dataset key must be either a string or None for serialization to netCDF files",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-7-8fd270e5f818>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mxr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msave_mfdataset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdatasets\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpaths\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/usr/local/lib/python2.7/dist-packages/xarray/backends/api.pyc\u001b[0m in \u001b[0;36msave_mfdataset\u001b[0;34m(datasets, paths, mode, format, groups, engine)\u001b[0m\n\u001b[1;32m 654\u001b[0m \u001b[0mwriter\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mArrayWriter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 655\u001b[0m stores = [to_netcdf(ds, path, mode, format, group, engine, writer)\n\u001b[0;32m--> 656\u001b[0;31m for ds, path, group in zip(datasets, paths, groups)]\n\u001b[0m\u001b[1;32m 657\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 658\u001b[0m \u001b[0mwriter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msync\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python2.7/dist-packages/xarray/backends/api.pyc\u001b[0m in \u001b[0;36mto_netcdf\u001b[0;34m(dataset, path_or_file, mode, format, group, engine, writer, encoding, unlimited_dims)\u001b[0m\n\u001b[1;32m 550\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 551\u001b[0m \u001b[0;31m# validate Dataset keys, DataArray names, and attr keys/values\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 552\u001b[0;31m \u001b[0m_validate_dataset_names\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 553\u001b[0m \u001b[0m_validate_attrs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 554\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python2.7/dist-packages/xarray/backends/api.pyc\u001b[0m in \u001b[0;36m_validate_dataset_names\u001b[0;34m(dataset)\u001b[0m\n\u001b[1;32m 88\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 89\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdataset\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 90\u001b[0;31m \u001b[0mcheck_name\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 91\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 92\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/local/lib/python2.7/dist-packages/xarray/backends/api.pyc\u001b[0m in \u001b[0;36mcheck_name\u001b[0;34m(name)\u001b[0m\n\u001b[1;32m 84\u001b[0m 'serialization to netCDF files')\n\u001b[1;32m 85\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 86\u001b[0;31m raise TypeError('DataArray.name or Dataset key must be either a '\n\u001b[0m\u001b[1;32m 87\u001b[0m 'string or None for serialization to netCDF files')\n\u001b[1;32m 88\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mTypeError\u001b[0m: DataArray.name or Dataset key must be either a string or None for serialization to netCDF files"
]
}
]
}
],
"metadata": {
"kernelspec": {
"name": "python2",
"display_name": "Python 2",
"language": "python"
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"eqNumInitial": 0,
"eqLabelWithNumbers": true,
"current_citInitial": 1,
"cite_by": "apalike",
"bibliofile": "biblio.bib",
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"nbconvert_exporter": "python",
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"version": "2.7.10",
"file_extension": ".py",
"codemirror_mode": {
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"name": "ipython"
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"toc": {
"threshold": 4,
"number_sections": true,
"toc_cell": false,
"toc_window_display": false,
"toc_section_display": "block",
"sideBar": true,
"navigate_menu": true,
"moveMenuLeft": true,
"colors": {
"hover_highlight": "#DAA520",
"selected_highlight": "#FFD700",
"running_highlight": "#FF0000"
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"nav_menu": {
"width": "252px",
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"data": {
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"public": true
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"nbformat": 4,
"nbformat_minor": 2
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