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| *.pyo | ||
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| *.ipynb_checkpoints* | ||
| environ | ||
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python-data/exercises/ex01.5_xr_label_based_indexing.ipynb
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| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "id": "77fa81b4-1601-4743-b297-ae21ac49fd49", | ||
| "metadata": { | ||
| "editable": true, | ||
| "slideshow": { | ||
| "slide_type": "" | ||
| }, | ||
| "tags": [] | ||
| }, | ||
| "source": [ | ||
| "# Exercise 1.5: Label-based indexing" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "id": "c1f847cc-4003-42a1-b484-7f7fc283b4c5", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "## Aim: Learn how to index data arrays" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "id": "6374f110-5ea1-4959-b226-4eeb18cf4899", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Find the teaching resources here: https://tutorial.xarray.dev/fundamentals/02.1_indexing_Basic.html." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "id": "e0cc034f-61e8-430f-b5ea-511594ff8d42", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "### Issues Covered: \n", | ||
| "- Indexing, using `.loc()`, `.isel()` and `.sel()`" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "id": "a33d279d-ad68-4790-8c97-f32cf1faa019", | ||
| "metadata": { | ||
| "editable": true, | ||
| "slideshow": { | ||
| "slide_type": "" | ||
| }, | ||
| "tags": [] | ||
| }, | ||
| "source": [ | ||
| "Q1. Open the `'../data/tas_rcp45_2055_mon_avg_change.nc'` dataset and load it into an xarray `Dataset` called `ds`.\n", | ||
| "(Hint: Don't forget to import any packages you need).\n", | ||
| "This file is a model run for HadCM3 run as part of the RAPID study: https://catalogue.ceda.ac.uk/uuid/6bbab8394124b252f8b1b036f9eb6b6b/" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "id": "778346e3-ed07-408f-83e7-3b12632761e5", | ||
| "metadata": { | ||
| "editable": true, | ||
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| }, | ||
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| }, | ||
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| "source": [] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "id": "0a21a6b9-ebae-47fa-940b-3b7f92d3ad2b", | ||
| "metadata": { | ||
| "editable": true, | ||
| "slideshow": { | ||
| "slide_type": "" | ||
| }, | ||
| "tags": [] | ||
| }, | ||
| "source": [ | ||
| "Q2. Select a subset of the `temperature` array using label-based indexing to get data at the position [0,0,0]." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 2, | ||
| "id": "d0818a4f-7255-4b90-9cb5-c8e1810cd7e3", | ||
| "metadata": { | ||
| "editable": true, | ||
| "execution": { | ||
| "iopub.execute_input": "2024-11-08T14:55:33.495959Z", | ||
| "iopub.status.busy": "2024-11-08T14:55:33.495440Z", | ||
| "iopub.status.idle": "2024-11-08T14:55:33.510961Z", | ||
| "shell.execute_reply": "2024-11-08T14:55:33.510269Z" | ||
| }, | ||
| "slideshow": { | ||
| "slide_type": "" | ||
| }, | ||
| "tags": [ | ||
| "clear_answer_cell" | ||
| ] | ||
| }, | ||
| "outputs": [], | ||
| "source": [] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "id": "b706418f-ed69-4d32-8a2c-b9fd6accf9b6", | ||
| "metadata": { | ||
| "editable": true, | ||
| "slideshow": { | ||
| "slide_type": "" | ||
| }, | ||
| "tags": [] | ||
| }, | ||
| "source": [ | ||
| "Q3. Use `.loc` to find the temperature 5 meters below the sea surface in south atlantic where latitiude is -50.625 and longitude is 0." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 3, | ||
| "id": "84ef9cec-9839-41fe-98e7-caaeb6e6e147", | ||
| "metadata": { | ||
| "editable": true, | ||
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| "iopub.execute_input": "2024-11-08T14:55:33.513642Z", | ||
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| "clear_answer_cell" | ||
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| { | ||
| "cell_type": "markdown", | ||
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| "editable": true, | ||
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| }, | ||
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| }, | ||
| "source": [ | ||
| "Q4. It's not ideal to have to keep track of which dimension is in which position. Instead, use `.isel` to use the dimension names to get the data in the same place: this is depth position 0, latitude position 31 and longitude position 0." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 4, | ||
| "id": "41ce3da8-ab39-4e62-b1f6-e27b13527f42", | ||
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| }, | ||
| "tags": [ | ||
| "clear_answer_cell" | ||
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| "cell_type": "markdown", | ||
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| }, | ||
| "tags": [] | ||
| }, | ||
| "source": [ | ||
| "Q5. The previous method is still referring to a selection by integer position. Use `.sel` to give a labelled index with the named dimension to find the data at `time=2065-12-30`, `lat=-78.5`, `lon=11.0`." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 5, | ||
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| "clear_answer_cell" | ||
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| "metadata": { | ||
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| "display_name": "Python 3 + Jaspy", | ||
| "language": "python", | ||
| "name": "jaspy" | ||
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| "language_info": { | ||
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| "name": "ipython", | ||
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| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
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