{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "2bfe3a98-5c6e-4727-b0ab-541a43ac7c44", "metadata": {}, "outputs": [], "source": [ "# Como leer un archivo netCDF" ] }, { "cell_type": "code", "execution_count": 1, "id": "c8e6a8ea-2eb4-4784-9906-b5d0e6221f23", "metadata": {}, "outputs": [], "source": [ "import netCDF4 as nc # 4 es solo la versiĆ³n de netcdf" ] }, { "cell_type": "code", "execution_count": 2, "id": "37508f06-5eb7-46f8-8ef6-bab0b368d2a2", "metadata": {}, "outputs": [], "source": [ "fileobj = nc.Dataset('shared/ERA5/ERA5_Coarse.nc')" ] }, { "cell_type": "code", "execution_count": 3, "id": "45ac8154-8e12-405d-9701-913f0bc2d781", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dict_keys(['u10', 'v10', 'sst', 'sp', 't2m', 'tp', 't2m_F', 'longitude', 'latitude', 'time'])\n" ] } ], "source": [ "print(fileobj.variables.keys())" ] }, { "cell_type": "code", "execution_count": 4, "id": "f81bd797-66c4-4227-974b-030acb6dfaaf", "metadata": {}, "outputs": [], "source": [ "lon = fileobj['longitude']\n", "lat = fileobj['latitude']" ] }, { "cell_type": "code", "execution_count": null, "id": "cec8f2f1-164a-4990-b479-fce26f90e2b2", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python [conda env:root] *", "language": "python", "name": "conda-root-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 5 }