Variables as an independent class

doc/source/example_notebooks/IS2_data_access2-subsetting.ipynb

@@ -51,7 +51,9 @@
  },
  {
  "cell_type": "markdown",
- "metadata": {},
+ "metadata": {
+ "user_expressions": []
+ },
  "source": [
  "Create a query object and log in to Earthdata\n",
  "\n",
@@ -83,7 +85,9 @@
  },
  {
  "cell_type": "markdown",
- "metadata": {},
+ "metadata": {
+ "user_expressions": []
+ },
  "source": [
  "## Discover Subsetting Options\n",
  "\n",
@@ -108,7 +112,9 @@
  },
  {
  "cell_type": "markdown",
- "metadata": {},
+ "metadata": {
+ "user_expressions": []
+ },
  "source": [
  "By default, spatial and temporal subsetting based on your initial inputs is applied to your order unless you specify `subset=False` to `order_granules()` or `download_granules()` (which calls `order_granules` under the hood if you have not already placed your order) functions.\n",
  "Additional subsetting options must be specified as keyword arguments to the order/download functions.\n",
@@ -118,7 +124,9 @@
  },
  {
  "cell_type": "markdown",
- "metadata": {},
+ "metadata": {
+ "user_expressions": []
+ },
  "source": [
  "### _Why do I have to provide spatial bounds to icepyx even if I don't use them to subset my data order?_\n",
  "\n",
@@ -132,7 +140,9 @@
  },
  {
  "cell_type": "markdown",
- "metadata": {},
+ "metadata": {
+ "user_expressions": []
+ },
  "source": [
  "## About Data Variables in a query object\n",
  "\n",
@@ -145,7 +155,9 @@
  },
  {
  "cell_type": "markdown",
- "metadata": {},
+ "metadata": {
+ "user_expressions": []
+ },
  "source": [
  "### Determine what variables are available for your data product\n",
  "There are multiple ways to get a complete list of available variables.\n",
@@ -159,23 +171,29 @@
  {
  "cell_type": "code",
  "execution_count": null,
- "metadata": {},
+ "metadata": {
+ "tags": []
+ },
  "outputs": [],
  "source": [
  "region_a.order_vars.avail()"
  ]
  },
  {
  "cell_type": "markdown",
- "metadata": {},
+ "metadata": {
+ "user_expressions": []
+ },
  "source": [
  "By passing the boolean `options=True` to the `avail` method, you can obtain lists of unique possible variable inputs (var_list inputs) and path subdirectory inputs (keyword_list and beam_list inputs) for your data product. These can be helpful for building your wanted variable list."
  ]
  },
  {
  "cell_type": "code",
  "execution_count": null,
- "metadata": {},
+ "metadata": {
+ "tags": []
+ },
  "outputs": [],
  "source": [
  "region_a.order_vars.avail(options=True)"
@@ -353,9 +371,9 @@
  ],
  "metadata": {
  "kernelspec": {
- "display_name": "Python 3 (ipykernel)",
+ "display_name": "icepyx-dev",
  "language": "python",
- "name": "python3"
+ "name": "icepyx-dev"
  },
  "language_info": {
  "codemirror_mode": {
@@ -367,7 +385,7 @@
  "name": "python",
  "nbconvert_exporter": "python",
  "pygments_lexer": "ipython3",
- "version": "3.10.12"
+ "version": "3.11.4"
  }
  },
  "nbformat": 4,