\n",
" \n",
" 
\n",
"
\n",
" "
],
"text/plain": [
"Canvas(header_visible=False, toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Bac…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%matplotlib widget\n",
"from eomaps import Maps, widgets\n",
"\n",
"m = Maps(figsize=(6, 2), layer=\"coastline\")\n",
"m.add_feature.preset.coastline()\n",
"\n",
"m.add_feature.preset.countries(layer=\"countries\")\n",
"m.add_feature.preset.ocean(layer=\"ocean\")\n",
"m.show()"
]
},
{
"cell_type": "markdown",
"id": "067e41f5-cdd8-44bb-8a74-f117704c953c",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"#### Widgets to display a single specific layer"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "0ccdcea8-d463-43b0-8b5a-ebe99de46c18",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [],
"source": [
"layer_button = widgets.LayerButton(m, layer=\"ocean\", description=\"Show ocean layer\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "e850d223-3326-4afb-a500-d0c08b8ee624",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": [
"ignore_in_unittest"
]
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "75c788c63e034fec8ad9e180cc862956",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"LayerButton(description='Show ocean layer', style=ButtonStyle())"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(layer_button)"
]
},
{
"cell_type": "markdown",
"id": "1914e079-bb49-48db-a919-f9f03a442cd0",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"#### Widgets to select one layer of a list of layers"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "c3077287-240d-425a-a32b-648e8a83acc8",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [],
"source": [
"selector_widgets = [\n",
" widgets.LayerToggleButtons(m),\n",
" widgets.LayerRadioButtons(m),\n",
" widgets.LayerSelect(m),\n",
" widgets.LayerDropdown(m),\n",
" widgets.LayerSelectionSlider(m)\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "3611b713-bccf-4b90-b9f2-f8e72baf4b70",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": [
"ignore_in_unittest"
]
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "fd40abc79e2e4bb0ab58e675e4ac5963",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"LayerToggleButtons(description='Layers', options=('coastline', 'countries', 'ocean'), value='coastline')"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "751436e713794777bce3fd926ca370dd",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"LayerRadioButtons(description='Layers', options=('coastline', 'countries', 'ocean'), value='coastline')"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "16a30ed51e534000a1a8bc982ccaedd6",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"LayerSelect(description='Layers', options=('coastline', 'countries', 'ocean'), value='coastline')"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "e31373d1890d4066ae3003da25be3b8e",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"LayerDropdown(description='Layers', options=('coastline', 'countries', 'ocean'), value='coastline')"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "89c134827f65440b97e39e15229e5aa5",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"LayerSelectionSlider(description='Layers', options=('coastline', 'countries', 'ocean'), value='coastline')"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(*selector_widgets)"
]
},
{
"cell_type": "markdown",
"id": "ceb1bb57-f9a9-4ec8-98e4-4f8d7f6996ac",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"#### Widgets to overlay multiple layers"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "6b825194-c1a7-4268-8cc0-4093dd472540",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [],
"source": [
"multi_selector_widgets = [\n",
" widgets.LayerSelectMultiple(m),\n",
" widgets.LayerSelectionRangeSlider(m)\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "e0bf5aa7-a39d-4314-9bff-570f318bb0c4",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": [
"ignore_in_unittest"
]
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "984f8ab2138849388d91ce3286ea318c",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"LayerSelectMultiple(description='Layers', index=(0, 0), options=('coastline', 'countries', 'ocean'), value=('c…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "ba4ef7862198434f87523c0527fde69d",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"LayerSelectionRangeSlider(description='Layers', index=(0, 0), options=('coastline', 'countries', 'ocean'), val…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(*multi_selector_widgets)"
]
},
{
"cell_type": "markdown",
"id": "6501121d-06a2-4f8b-b279-8d684ddb9b95",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
":::{tip}\n",
"You can style the widgets as any other Jupyter Widget (more info in the [Widget Styling][widget_styling] section of the ipywidgets docs.)\n",
"\n",
"To display widgets next to a figure, use the `canvas` of the figure:\n",
"\n",
"```python\n",
"display(m.f.canvas, ... other widgets...)\n",
"```\n",
"\n",
"To arrange widgets, checkout the [container and Layout widgets][container_widgets] like `HBox([list of widgets])`, `VBox([list of widgets])`!\n",
"\n",
":::\n",
"\n",
"[container_widgets]: https://ipywidgets.readthedocs.io/en/7.6.3/examples/Widget%20List.html#Container/Layout-widgets\n",
"[widget_styling]: https://ipywidgets.readthedocs.io/en/7.6.2/examples/Widget%20Styling.html"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "cca25482-eff6-43b0-8aba-776328d180ca",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [],
"source": [
"from ipywidgets import HBox, VBox"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "ad083853-4209-4a23-bf43-02fd0560f269",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [],
"source": [
"custom_selector = widgets.LayerSelectMultiple(\n",
" m,\n",
" layers=[[\"A nice coastline\", \"coastline\"], \n",
" [\"Overlay 'coastline' + 'ocean'\", (\"coastline\", \"ocean\")],\n",
" [\"Transparent overlay: 'coastline' + 'ocean'\", (\"coastline\", (\"ocean\", 0.4))]\n",
" ],\n",
" layout=dict(width='35%', height='80px', )\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "8da97f89-ed5e-4a51-8dca-d18fbbdefb4f",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": [
"ignore_in_unittest"
]
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "e1e306c4309440f39ff0ec3c448c83c5",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"HBox(children=(LayerSelectMultiple(description='Layers', index=(0, 0), layout=Layout(height='80px', width='35%…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(HBox([custom_selector, m.f.canvas]))"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "db03b116-c43b-4802-90d1-dcde8ca901cd",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [],
"source": [
"buttons = [\n",
" widgets.LayerButton(m, layer=\"ocean\", description=\"Show ocean layer\", layout=dict(width=\"25ex\", height=\"5ex\")),\n",
" widgets.LayerButton(m, layer=\"coastline\", description=\"Show coastline layer\", layout=dict(width=\"25ex\", height=\"5ex\"))\n",
"]\n",
"for b in buttons:\n",
" b.style.font_weight = 'bold'\n",
" b.style.font_size = '20px'\n",
"buttons[0].style.button_color = 'lightblue'\n",
"buttons[1].style.button_color = '#d0a2b9'\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "b52be482-9180-4104-b6cd-49abc12c2a41",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": [
"ignore_in_unittest"
]
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "918eb8a3aa9f4e8781a46ac6f28d4dd3",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"HBox(children=(VBox(children=(LayerButton(description='Show ocean layer', layout=Layout(height='5ex', width='2…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(HBox([VBox(buttons), m.f.canvas]))"
]
},
{
"cell_type": "markdown",
"id": "95d96081-6fea-4c50-9755-089c53517eed",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"## Callback Widgets\n",
"\n",
"Callback widgets are used to toggle callbacks on a map.\n",
"\n",
":::{dropdown} Available Widgets:\n",
":open:\n",
"\n",
"```{eval-rst}\n",
"\n",
".. currentmodule:: eomaps.widgets\n",
"\n",
".. autosummary:: \n",
" :nosignatures:\n",
" \n",
" ClickAnnotateCheckbox\n",
" ClickMarkCheckbox\n",
" ClickPrintToConsoleCheckbox\n",
" ClickPeekLayerCheckbox\n",
"\n",
"\n",
".. autosummary:: \n",
" :nosignatures:\n",
" \n",
" ClickMarkCheckbox\n",
" ClickPrintToConsoleCheckbox\n",
"\n",
"\n",
".. autosummary:: \n",
" :nosignatures:\n",
" \n",
" PickAnnotateCheckbox\n",
" PickMarkCheckbox\n",
" PickPrintToConsoleCheckbox\n",
"\n",
":::"
]
},
{
"cell_type": "markdown",
"id": "d310fcf8-96f1-461c-81d1-cbde4ed4fd5b",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"source": [
"### How to use the widgets\n",
"\n",
"To attach a widget to a map, all you need to do is to pass the associated [`Maps`](eomaps.Maps) object as first argument on initialization.\n",
"(e.g. use ``Widget(m)`` to connect the widget to the [`Maps`](eomaps.Maps) object `m`)\n",
"\n",
"All additional arguments will be passed to the corresponding callback (e.g. `m.cb.< METHOD >.attach.< NAME >(**kwargs)`)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "bd38b152-7397-4b23-853b-43bbd78862ec",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": []
},
"outputs": [],
"source": [
"checkboxes = [\n",
" widgets.ClickAnnotateCheckbox(m),\n",
" widgets.ClickMarkCheckbox(m),\n",
" widgets.ClickPrintToConsoleCheckbox(m),\n",
" widgets.ClickPeekLayerCheckbox(m, layer=\"ocean\"),\n",
" widgets.ClickMarkCheckbox(m),\n",
" widgets.ClickPrintToConsoleCheckbox(m),\n",
" widgets.PickAnnotateCheckbox(m),\n",
" widgets.PickMarkCheckbox(m),\n",
" widgets.PickPrintToConsoleCheckbox(m)\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "86b55c35-9aba-49ee-ad77-ab896eecb4d5",
"metadata": {
"editable": true,
"slideshow": {
"slide_type": ""
},
"tags": [
"ignore_in_unittest"
]
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "4b35f68c7651410f9f844a68f1078083",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"ClickAnnotateCheckbox(value=False, description='Annotate (Click)')"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "79649e63c1674abbbaf890f0839d2763",
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"version_minor": 0
},
"text/plain": [
"ClickMarkCheckbox(value=False, description='Mark (Click)')"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "4e8ce3ee63484e93acab9b4d6b7c215c",
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},
"text/plain": [
"ClickPrintToConsoleCheckbox(value=False, description='Print (Click)')"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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},
"text/plain": [
"ClickPeekLayerCheckbox(value=False, description=\"Peek Layer: 'ocean'\")"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
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"version_minor": 0
},
"text/plain": [
"ClickMarkCheckbox(value=False, description='Mark (Click)')"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"model_id": "bdba49ff00e643af893447db4211356c",
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"version_minor": 0
},
"text/plain": [
"ClickPrintToConsoleCheckbox(value=False, description='Print (Click)')"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "862853edce5d46e688f7b9bf399ccc6a",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"PickAnnotateCheckbox(value=False, description='Annotate (Pick)')"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "484d42e225f84ac2afeb2d63d2c5b37e",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"PickMarkCheckbox(value=False, description='Mark (Pick)')"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "573855a2ccf14e9e9f24b7a900c274e7",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"PickPrintToConsoleCheckbox(value=False, description='Print (Pick)')"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"display(*checkboxes)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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"model_name": "ToolbarModel",
"state": {
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"_view_module_version": "^0.11",
"collapsed": true,
"layout": "IPY_MODEL_17dc4fb8908547f7b343ca7847b48e7d",
"orientation": "vertical",
"toolitems": [
[
"Home",
"Reset original view",
"home",
"home"
],
[
"Back",
"Back to previous view",
"arrow-left",
"back"
],
[
"Forward",
"Forward to next view",
"arrow-right",
"forward"
],
[
"Pan",
"Left button pans, Right button zooms\nx/y fixes axis, CTRL fixes aspect",
"arrows",
"pan"
],
[
"Zoom",
"Zoom to rectangle\nx/y fixes axis",
"square-o",
"zoom"
],
[
"Download",
"Download plot",
"floppy-o",
"save_figure"
]
]
}
},
"092d2b10293245ef976d5fd2e7618344": {
"model_module": "@jupyter-widgets/controls",
"model_module_version": "2.0.0",
"model_name": "SelectMultipleModel",
"state": {
"_options_labels": [
"A nice coastline",
"Overlay 'coastline' + 'ocean'",
"Transparent overlay: 'coastline' + 'ocean'"
],
"description": "Layers",
"index": [
0,
0
],
"layout": "IPY_MODEL_7ff01dc7a0c64d9aa6f6adc9dc7d6230",
"rows": 5,
"style": "IPY_MODEL_772a0e3c61a14fe2bde319db0ca9effb"
}
},
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}
},
"0fa812204ff44a7481e2ca9fe8142e4b": {
"model_module": "@jupyter-widgets/base",
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"model_name": "LayoutModel",
"state": {}
},
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}
},
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"countries",
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],
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",
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