{ "cells": [ { "cell_type": "markdown", "id": "d8f54f6a", "metadata": {}, "source": [ "# Blank template\n", "\n", "Use this notebook from Binder to test an issue or reproduce a bug report" ] }, { "cell_type": "code", "execution_count": null, "id": "41b90ede", "metadata": {}, "outputs": [], "source": [ "import xarray as xr\n", "import numpy as np\n", "import pandas as pd\n", "\n", "ds = xr.tutorial.load_dataset(\"air_temperature\")\n", "da = ds[\"air\"]" ] }, { "cell_type": "code", "execution_count": null, "id": "effd9aeb", "metadata": {}, "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": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 5 }