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March 13, 2019 08:51
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"%matplotlib inline\n", | |
"%config InlineBackend.figure_format='retina'" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import xarray as xr\n", | |
"import numpy as np\n", | |
"import matplotlib.pyplot as plt\n", | |
"from xgcm import Grid" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"<xarray.Dataset>\n", | |
"Dimensions: (Time: 48, xh: 800, xq: 800, yh: 400, yq: 400, zi: 3, zl: 2)\n", | |
"Coordinates:\n", | |
" * xq (xq) float64 -1.596e+03 -1.592e+03 -1.588e+03 ... 1.596e+03 1.6e+03\n", | |
" * yh (yh) float64 -798.0 -794.0 -790.0 -786.0 ... 790.0 794.0 798.0\n", | |
" * zl (zl) float64 1.027e+03 1.028e+03\n", | |
" * xh (xh) float64 -1.598e+03 -1.594e+03 ... 1.594e+03 1.598e+03\n", | |
" * yq (yq) float64 -796.0 -792.0 -788.0 -784.0 ... 792.0 796.0 800.0\n", | |
" * zi (zi) float64 1.027e+03 1.028e+03 1.028e+03\n", | |
" * Time (Time) float64 600.0 600.1 600.1 600.2 ... 601.9 601.9 601.9 602.0\n", | |
"Data variables:\n", | |
" u (Time, zl, yh, xq) float32 dask.array<shape=(48, 2, 400, 800), chunksize=(24, 2, 400, 800)>\n", | |
" v (Time, zl, yq, xh) float32 dask.array<shape=(48, 2, 400, 800), chunksize=(24, 2, 400, 800)>\n", | |
" h (Time, zl, yh, xh) float32 dask.array<shape=(48, 2, 400, 800), chunksize=(24, 2, 400, 800)>\n", | |
" e (Time, zi, yh, xh) float32 dask.array<shape=(48, 3, 400, 800), chunksize=(24, 3, 400, 800)>\n", | |
" uh (Time, zl, yh, xq) float32 dask.array<shape=(48, 2, 400, 800), chunksize=(24, 2, 400, 800)>\n", | |
" vh (Time, zl, yq, xh) float32 dask.array<shape=(48, 2, 400, 800), chunksize=(24, 2, 400, 800)>\n", | |
"Attributes:\n", | |
" filename: prog.nc\n", | |
" title: Navid Channel\n", | |
" grid_type: regular\n", | |
" grid_tile: N/A\n" | |
] | |
} | |
], | |
"source": [ | |
"# Now plot mean interface height\n", | |
"FileList = '/home/552/nc3020/gdata/SOchanBcBtEddySat/layer2/layer2_tau5e-3_manyshortridges/output[6]*/prog.nc'\n", | |
"dsx = xr.open_mfdataset(FileList, concat_dim='Time', decode_times=False, engine='netcdf4')\n", | |
"dsx.coords['Time'] = dsx.coords['Time']/(365)\n", | |
"print(dsx)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"ename": "TypeError", | |
"evalue": "__init__() got an unexpected keyword argument 'coords'", | |
"output_type": "error", | |
"traceback": [ | |
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | |
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", | |
"\u001b[0;32m<ipython-input-5-8c7b97904d6f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mgrid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mGrid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdsx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcoords\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'X'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m'center'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'xh'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'right'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'xq'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Y'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m'center'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'yh'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'right'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'yq'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", | |
"\u001b[0;31mTypeError\u001b[0m: __init__() got an unexpected keyword argument 'coords'" | |
] | |
} | |
], | |
"source": [ | |
"grid = Grid(dsx, coords={'X': {'center': 'xh', 'right': 'xq'}, 'Y': {'center': 'yh', 'right': 'yq'}})" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<xgcm.Grid>\n", | |
"X Axis (periodic):\n", | |
" * center xh (800) --> right\n", | |
" * right xq (800) --> center\n", | |
"Y Axis (not periodic):\n", | |
" * center yh (400) --> right\n", | |
" * right yq (400) --> center" | |
] | |
}, | |
"execution_count": 6, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"dsx.coords['xh'].attrs.update(axis='X')\n", | |
"dsx.coords['xq'].attrs.update(axis='X', c_grid_axis_shift=0.5)\n", | |
"dsx.coords['yh'].attrs.update(axis='Y')\n", | |
"dsx.coords['yq'].attrs.update(axis='Y', c_grid_axis_shift=0.5)\n", | |
"\n", | |
"grid = Grid(dsx, periodic=['X'])\n", | |
"\n", | |
"grid" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python [default]", | |
"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": "3.6.7" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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