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Backport PR #4719: ENH: fix notebook links
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Diff for: ‎doc/source/analyzing/Particle_Trajectories.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Particle Trajectories"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"outputs": [],
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"source": [
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"cell_type": "code",
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"cell_type": "code",
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"outputs_hidden": false
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"outputs": [],
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"outputs": [],
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"outputs": [],
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"source": [
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"outputs": [],
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"source": [
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"cell_type": "code",
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"metadata": {
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"collapsed": false
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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"outputs": [],
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"source": [
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python [default]",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.2"
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"version": "3.10.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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"nbformat_minor": 4
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}

Diff for: ‎doc/source/analyzing/astropy_integrations.rst

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slices or projections) and fixed-resolution three-dimensional grids can be written
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to FITS files using yt's :class:`~yt.visualization.fits_image.FITSImageData` class
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and its subclasses. Multiple images can be combined into a single file, operations
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can be performed on the images and their coordinates, etc. See :ref:`writing_fits_images`
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for more information.
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can be performed on the images and their coordinates, etc. See
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:doc:`../visualizing/FITSImageData` for more information.
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Converting Field Container and 1D Profile Data to AstroPy Tables
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----------------------------------------------------------------

Diff for: ‎doc/source/analyzing/domain_analysis/XrayEmissionFields.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# X-ray Emission Fields"
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]
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},
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"execution_count": null,
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"scrolled": false
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"metadata": {},
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"metadata": {},
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"slc = yt.SlicePlot(\n",
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"ds2 = yt.load(\"D9p_500/10MpcBox_HartGal_csf_a0.500.d\", default_species_fields=\"ionized\")\n",
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"cell_type": "code",
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"metadata": {},
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"metadata": {},
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"metadata": {
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"display_name": "Python 3 (ipykernel)",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.1"
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"version": "3.10.12"
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"nbformat": 4,
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"nbformat_minor": 4
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}

Diff for: ‎doc/source/analyzing/domain_analysis/index.rst

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cosmology_calculator
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clump_finding
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XrayEmissionFields
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xray_data_README
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External Analysis Modules

Diff for: ‎doc/source/analyzing/domain_analysis/xray_emission_fields.rst

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Diff for: ‎doc/source/analyzing/filtering.rst

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Cut regions are a more general solution to filtering mesh fields. The output
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.. notebook:: mesh_filter.ipynb
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other data object to generate images, examine its values, etc. See `this <mesh_filter>`_.
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Additional example of particle filters can be found in the `notebook <particle_filter>`_.
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Diff for: ‎doc/source/analyzing/index.rst

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generating_processed_data
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saving_data
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particle_trajectories
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Particle_Trajectories
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parallel_computation
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astropy_integrations

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