xESMF - Input array is not F_CONTIGUOUS issue

notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xesmf\n",
    "import xarray as xr\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# (i,j) indexing in input grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (x: 200, y: 100)\n",
       "Coordinates:\n",
       "  * x        (x) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ...\n",
       "  * y        (y) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ...\n",
       "Data variables:\n",
       "    lat      (x, y) float64 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 ...\n",
       "    lon      (x, y) float64 20.0 20.1 20.2 20.3 20.4 20.5 20.6 20.7 20.8 ..."
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat_ = np.arange(10, 30, 0.1)\n",
    "lon_ = np.arange(20, 30, 0.1)\n",
    "\n",
    "lat, lon = np.meshgrid(lat_, lon_, indexing='ij')\n",
    "\n",
    "x = np.arange(len(lat_))\n",
    "y = np.arange(len(lon_))\n",
    "\n",
    "ds_in = xr.Dataset(coords=dict(x=x, y=y))\n",
    "ds_in['lat'] = (('x', 'y'), lat)\n",
    "ds_in['lon'] = (('x', 'y'), lon)\n",
    "\n",
    "ds_in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat_new = np.arange(10, 30, 1.)\n",
    "lon_new = np.arange(20, 30, 1.)\n",
    "\n",
    "ds_out = xr.Dataset(coords=dict(lat=lat_new, lon=lon_new))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Create weight file: bilinear_200x100_20x10.nc\n"
     ]
    }
   ],
   "source": [
    "regridder = xesmf.Regridder(ds_in=ds_in, ds_out=ds_out, method='bilinear')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# (x,y) indexing in input grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (x: 200, y: 100)\n",
       "Coordinates:\n",
       "  * x        (x) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ...\n",
       "  * y        (y) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 ...\n",
       "Data variables:\n",
       "    lat      (x, y) float64 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 10.0 ...\n",
       "    lon      (x, y) float64 20.0 20.1 20.2 20.3 20.4 20.5 20.6 20.7 20.8 ..."
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat_ = np.arange(10, 30, 0.1)\n",
    "lon_ = np.arange(20, 30, 0.1)\n",
    "\n",
    "lat, lon = np.meshgrid(lat_, lon_, indexing='xy')\n",
    "\n",
    "x = np.arange(len(lat_))\n",
    "y = np.arange(len(lon_))\n",
    "\n",
    "ds_in = xr.Dataset(coords=dict(x=x, y=y))\n",
    "ds_in['lat'] = (('x', 'y'), lat.T)\n",
    "ds_in['lon'] = (('x', 'y'), lon.T)\n",
    "\n",
    "ds_in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat_new = np.arange(10, 30, 1.)\n",
    "lon_new = np.arange(20, 30, 1.)\n",
    "\n",
    "ds_out = xr.Dataset(coords=dict(lat=lat_new, lon=lon_new))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwrite existing file: bilinear_200x100_20x10.nc \n",
      " You can set reuse_weights=True to save computing time.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/earlcd/anaconda2/envs/ghana-training/lib/python3.6/site-packages/xesmf/backend.py:36: UserWarning: Input array is not F_CONTIGUOUS. Will affect performance.\n",
      "  warnings.warn(\"Input array is not F_CONTIGUOUS. \"\n"
     ]
    }
   ],
   "source": [
    "regridder = xesmf.Regridder(ds_in=ds_in, ds_out=ds_out, method='bilinear')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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