3_spatiotemporal_analysis.ipynb

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    "# EOmaps Workshop GeoPython 2024\n",
    "<font size=3>Interactive geo-data analysis with EOmaps and the scientific python infrastructure.</font>"
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    "# **Example 2:** Spatio-temporal data analysis"
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    "In this example, we will explore how we can analyze a whole stack of images with [EOmaps][eomaps].\n",
    "\n",
    "- Lazily populate layers\n",
    "- Load and visualize timeseries on click\n",
    "\n",
    "[eomaps]: https://eomaps.readthedocs.io/\n"
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    "from pathlib import Path\n",
    "from functools import lru_cache # to cache already loaded timeseries\n",
    "\n",
    "import pandas as pd\n",
    "import xarray as xar\n",
    "from matplotlib.dates import ConciseDateFormatter  # to get nice datetime ticks\n",
    "\n",
    "from eomaps import Maps, widgets"
   ]
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    "%matplotlib qt\n",
    "Maps.config(always_on_top=True)      # keep figures \"always on top\""
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    "Let's have a quick look at one of the files:"
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    "files = list(Path(\"gridded_data\").iterdir()) # a list of all file paths"
   ]
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 441MB\n",
       "Dimensions:    (lat: 1800, lon: 3600, time: 1)\n",
       "Coordinates:\n",
       "  * lat        (lat) float64 14kB 89.95 89.85 89.75 ... -89.75 -89.85 -89.95\n",
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       "Data variables: (12/18)\n",
       "    crs        |S1 1B ...\n",
       "    SWI_005    (time, lat, lon) float32 26MB ...\n",
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       "    SWI_015    (time, lat, lon) float32 26MB ...\n",
       "    SWI_100    (time, lat, lon) float32 26MB ...\n",
       "    ...         ...\n",
       "    QFLAG_100  (time, lat, lon) float32 26MB ...\n",
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       "    SSF        (time, lat, lon) float32 26MB ...\n",
       "Attributes: (12/25)\n",
       "    Conventions:          CF-1.6\n",
       "    archive_facility:     VITO\n",
       "    copyright:            Copernicus Service information 2023\n",
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       "    ...                   ...\n",
       "    region_name:          GLOBE\n",
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       "    time_coverage_end:    2023-06-01T12:00:00Z\n",
       "    time_coverage_start:  2023-05-31T12:00:00Z\n",
       "    title:                Daily Soil Water Index 0.1degree: GLOBE 2023-06-01T...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f69c6d30-32fe-444c-a763-37050c5c638e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f69c6d30-32fe-444c-a763-37050c5c638e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 1800</li><li><span class='xr-has-index'>lon</span>: 3600</li><li><span class='xr-has-index'>time</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7dafaad5-2c48-4d46-8e9f-c6760574715e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7dafaad5-2c48-4d46-8e9f-c6760574715e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.95 89.85 89.75 ... -89.85 -89.95</div><input id='attrs-dc203302-d178-4f73-8268-0a2be7f947b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc203302-d178-4f73-8268-0a2be7f947b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5d2f7ff-0b3b-439d-84ce-564334db4958' class='xr-var-data-in' type='checkbox'><label for='data-e5d2f7ff-0b3b-439d-84ce-564334db4958' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>valid_range :</span></dt><dd>[-90.  90.]</dd></dl></div><div class='xr-var-data'><pre>array([ 89.95,  89.85,  89.75, ..., -89.75, -89.85, -89.95])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.9 -179.8 ... 179.8 179.9</div><input id='attrs-7483eff6-ac06-4b24-a35a-831e96827938' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7483eff6-ac06-4b24-a35a-831e96827938' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81cbf442-6129-448a-8e32-a9353d32fa09' class='xr-var-data-in' type='checkbox'><label for='data-81cbf442-6129-448a-8e32-a9353d32fa09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>valid_range :</span></dt><dd>[-180.  180.]</dd></dl></div><div class='xr-var-data'><pre>array([-179.95, -179.85, -179.75, ...,  179.75,  179.85,  179.95])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2023-06-01T12:00:00</div><input id='attrs-38de3d13-93c8-46ac-b8d5-b9e984e2fc34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38de3d13-93c8-46ac-b8d5-b9e984e2fc34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f5f781d-900d-4990-8f94-1b1031906ef5' class='xr-var-data-in' type='checkbox'><label for='data-7f5f781d-900d-4990-8f94-1b1031906ef5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2023-06-01T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d3668b91-c328-45ec-b51f-d2d03ba88d6d' class='xr-section-summary-in' type='checkbox'  ><label for='section-d3668b91-c328-45ec-b51f-d2d03ba88d6d' class='xr-section-summary' >Data variables: <span>(18)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-908ad7c1-bb74-44f3-a09f-9e2229322d4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-908ad7c1-bb74-44f3-a09f-9e2229322d4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba661175-da61-428c-abe9-5857402f7f8d' class='xr-var-data-in' type='checkbox'><label for='data-ba661175-da61-428c-abe9-5857402f7f8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>GeoTransform :</span></dt><dd>-180 0.1 0 90 0 -0.1</dd><dt><span>long_name :</span></dt><dd>CRS definition</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=|S1]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWI_005</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-94fa6730-9a1f-419c-8144-f0d19c8e3d15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94fa6730-9a1f-419c-8144-f0d19c8e3d15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b975a1dc-08df-4857-818b-f306109371b5' class='xr-var-data-in' type='checkbox'><label for='data-b975a1dc-08df-4857-818b-f306109371b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Soil Water Index with T=5</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWI_010</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0a6a66d-0468-44de-87a2-cd2a8c02eccf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0a6a66d-0468-44de-87a2-cd2a8c02eccf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6994b452-783d-4a36-9a8f-f64f7846ad18' class='xr-var-data-in' type='checkbox'><label for='data-6994b452-783d-4a36-9a8f-f64f7846ad18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Soil Water Index with T=10</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWI_001</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-353a7877-3e77-4e7a-9749-1c6c241a8579' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-353a7877-3e77-4e7a-9749-1c6c241a8579' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be57f69a-62a8-42d4-b5d9-05c3610173cb' class='xr-var-data-in' type='checkbox'><label for='data-be57f69a-62a8-42d4-b5d9-05c3610173cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Soil Water Index with T=1</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWI_015</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d6f13cee-b898-4092-9171-f3a7feadc736' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6f13cee-b898-4092-9171-f3a7feadc736' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-247f4619-9949-425b-882e-44d18b9741d8' class='xr-var-data-in' type='checkbox'><label for='data-247f4619-9949-425b-882e-44d18b9741d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Soil Water Index with T=15</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWI_100</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5cfdeead-c9cf-4f12-b394-44ba617f39f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cfdeead-c9cf-4f12-b394-44ba617f39f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd4677cd-8895-4043-9ce1-56d733514be8' class='xr-var-data-in' type='checkbox'><label for='data-bd4677cd-8895-4043-9ce1-56d733514be8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Soil Water Index with T=100</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWI_040</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd9d8e20-2620-4c14-bb50-f4bfe4755633' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd9d8e20-2620-4c14-bb50-f4bfe4755633' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c99ed22d-553f-497b-9aaa-3c54b791ed29' class='xr-var-data-in' type='checkbox'><label for='data-c99ed22d-553f-497b-9aaa-3c54b791ed29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Soil Water Index with T=40</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWI_060</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e8ffe285-0df9-46d0-9fbc-a5a1a9c0d4a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8ffe285-0df9-46d0-9fbc-a5a1a9c0d4a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-252cf115-faa9-40fc-93bb-4fb6d867415a' class='xr-var-data-in' type='checkbox'><label for='data-252cf115-faa9-40fc-93bb-4fb6d867415a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Soil Water Index with T=60</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWI_020</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92051c1b-8387-4263-8d71-91358711c84b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92051c1b-8387-4263-8d71-91358711c84b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a86caab9-2e26-4ed4-83c1-f909979366a5' class='xr-var-data-in' type='checkbox'><label for='data-a86caab9-2e26-4ed4-83c1-f909979366a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Soil Water Index with T=20</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QFLAG_040</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27a75d7d-2001-4a82-be57-95d0d62c8baf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27a75d7d-2001-4a82-be57-95d0d62c8baf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c859d67-2f41-49c1-bdf4-28912722cc6e' class='xr-var-data-in' type='checkbox'><label for='data-6c859d67-2f41-49c1-bdf4-28912722cc6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Quality Flag with T=40</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QFLAG_010</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ad3727f-2267-4f18-98c8-13b568a4fbca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ad3727f-2267-4f18-98c8-13b568a4fbca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06678ca2-7435-4b5b-9efc-5ee05c8633a0' class='xr-var-data-in' type='checkbox'><label for='data-06678ca2-7435-4b5b-9efc-5ee05c8633a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Quality Flag with T=10</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QFLAG_015</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8235dc6b-9da9-4c29-92fc-62bb47dfee8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8235dc6b-9da9-4c29-92fc-62bb47dfee8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ea18436-b94e-4d4a-911c-67e6d7405202' class='xr-var-data-in' type='checkbox'><label for='data-6ea18436-b94e-4d4a-911c-67e6d7405202' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Quality Flag with T=15</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QFLAG_100</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0e534d68-ddf4-4600-8f48-fbe0951e7b5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e534d68-ddf4-4600-8f48-fbe0951e7b5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a8ea101-7bae-4cfc-a85a-afcbb3e4db7c' class='xr-var-data-in' type='checkbox'><label for='data-4a8ea101-7bae-4cfc-a85a-afcbb3e4db7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Quality Flag with T=100</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QFLAG_020</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c6c20bf-73a1-4065-9e9d-db9c9e559c2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c6c20bf-73a1-4065-9e9d-db9c9e559c2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb64fcbb-0d64-48da-896d-f19db2b6ea60' class='xr-var-data-in' type='checkbox'><label for='data-bb64fcbb-0d64-48da-896d-f19db2b6ea60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Quality Flag with T=20</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QFLAG_005</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cce03c71-be79-4e62-92e4-2a1564799df5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cce03c71-be79-4e62-92e4-2a1564799df5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5726e28a-4296-4b91-bdc3-1ff82585e0dc' class='xr-var-data-in' type='checkbox'><label for='data-5726e28a-4296-4b91-bdc3-1ff82585e0dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Quality Flag with T=5</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QFLAG_001</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-803b4d96-29f9-40f3-b8f6-319bc1184e2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-803b4d96-29f9-40f3-b8f6-319bc1184e2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74d020e8-3f26-4a0e-bb7e-d8080da32440' class='xr-var-data-in' type='checkbox'><label for='data-74d020e8-3f26-4a0e-bb7e-d8080da32440' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Quality Flag with T=1</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QFLAG_060</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d98f33d3-cfcf-457c-980c-a21a2c12d8d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d98f33d3-cfcf-457c-980c-a21a2c12d8d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63d0c8bb-63ae-4736-8e0e-02a0b2ece684' class='xr-var-data-in' type='checkbox'><label for='data-63d0c8bb-63ae-4736-8e0e-02a0b2ece684' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Quality Flag with T=60</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>[  0 200]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SSF</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7fe40ccb-8932-4ecd-8d12-455e39c25832' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fe40ccb-8932-4ecd-8d12-455e39c25832' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfef2c34-b83c-4975-ad69-ec6242ed348f' class='xr-var-data-in' type='checkbox'><label for='data-cfef2c34-b83c-4975-ad69-ec6242ed348f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Class :</span></dt><dd>DATA</dd><dt><span>flag_meanings :</span></dt><dd>Unknown Unfrozen Frozen Melting_or_Surface_Water Missing</dd><dt><span>flag_values :</span></dt><dd>[  0   1   2   3 255]</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>Surface State Flag</dd><dt><span>valid_range :</span></dt><dd>[0 4]</dd></dl></div><div class='xr-var-data'><pre>[6480000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb050e66-0059-4ab1-94fc-fcf02efdcffc' class='xr-section-summary-in' type='checkbox'  ><label for='section-cb050e66-0059-4ab1-94fc-fcf02efdcffc' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cab719c8-fcdd-4eb2-9ccf-db6ac9eba5fe' class='xr-index-data-in' type='checkbox'/><label for='index-cab719c8-fcdd-4eb2-9ccf-db6ac9eba5fe' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 89.94999999998977,  89.84999999998978,  89.74999999998978,\n",
       "        89.64999999998979,   89.5499999999898,   89.4499999999898,\n",
       "         89.3499999999898,  89.24999999998981,  89.14999999998982,\n",
       "        89.04999999998982,\n",
       "       ...\n",
       "       -89.05000000000005, -89.15000000000005, -89.25000000000004,\n",
       "       -89.35000000000004, -89.45000000000003, -89.55000000000003,\n",
       "       -89.65000000000002, -89.75000000000001, -89.85000000000001,\n",
       "                   -89.95],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;, length=1800))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3da470c1-f0f0-4670-84f4-cfeacdbfad39' class='xr-index-data-in' type='checkbox'/><label for='index-3da470c1-f0f0-4670-84f4-cfeacdbfad39' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([            -179.95,             -179.85,             -179.75,\n",
       "                   -179.65,             -179.55, -179.45000000000002,\n",
       "       -179.35000000000002, -179.25000000000003, -179.15000000000003,\n",
       "       -179.05000000000004,\n",
       "       ...\n",
       "         179.0499999999796,  179.14999999997957,   179.2499999999796,\n",
       "        179.34999999997962,  179.44999999997958,  179.54999999997955,\n",
       "        179.64999999997957,   179.7499999999796,  179.84999999997956,\n",
       "        179.94999999997953],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=3600))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-37e1fbfa-1089-4a36-bcb2-e0460ec819de' class='xr-index-data-in' type='checkbox'/><label for='index-37e1fbfa-1089-4a36-bcb2-e0460ec819de' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2023-06-01 12:00:00&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ecb45249-564c-4da7-9295-911bcd113c84' class='xr-section-summary-in' type='checkbox'  ><label for='section-ecb45249-564c-4da7-9295-911bcd113c84' class='xr-section-summary' >Attributes: <span>(25)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>archive_facility :</span></dt><dd>VITO</dd><dt><span>copyright :</span></dt><dd>Copernicus Service information 2023</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.95</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.95</dd><dt><span>geospatial_lon_max :</span></dt><dd>179.95</dd><dt><span>geospatial_lon_min :</span></dt><dd>-179.95</dd><dt><span>history :</span></dt><dd>2023-06-01 -- SWI NRT Production</dd><dt><span>identifier :</span></dt><dd>urn:cgls:global:swi_v3_0.1degree:SWI_202306011200_GLOBE_ASCAT_V3.2.1</dd><dt><span>institution :</span></dt><dd>TU Wien</dd><dt><span>long_name :</span></dt><dd>Soil Water Index</dd><dt><span>orbit_type :</span></dt><dd>LEO</dd><dt><span>parent_identifier :</span></dt><dd>urn:cgls:global:swi_v3_0.1degree</dd><dt><span>pixel_size :</span></dt><dd>0.1 degrees</dd><dt><span>platform :</span></dt><dd>METOP B+C</dd><dt><span>processing_level :</span></dt><dd>L3</dd><dt><span>processing_mode :</span></dt><dd>NRT Production</dd><dt><span>product_version :</span></dt><dd>V3.1.2</dd><dt><span>references :</span></dt><dd>https://land.copernicus.eu/global/products/swi</dd><dt><span>region_name :</span></dt><dd>GLOBE</dd><dt><span>sensor :</span></dt><dd>ASCAT</dd><dt><span>source :</span></dt><dd>Derived from EO microwave scatterometer observations</dd><dt><span>time_coverage_end :</span></dt><dd>2023-06-01T12:00:00Z</dd><dt><span>time_coverage_start :</span></dt><dd>2023-05-31T12:00:00Z</dd><dt><span>title :</span></dt><dd>Daily Soil Water Index 0.1degree: GLOBE 2023-06-01T12:00:00Z</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 441MB\n",
       "Dimensions:    (lat: 1800, lon: 3600, time: 1)\n",
       "Coordinates:\n",
       "  * lat        (lat) float64 14kB 89.95 89.85 89.75 ... -89.75 -89.85 -89.95\n",
       "  * lon        (lon) float64 29kB -179.9 -179.8 -179.8 ... 179.7 179.8 179.9\n",
       "  * time       (time) datetime64[ns] 8B 2023-06-01T12:00:00\n",
       "Data variables: (12/18)\n",
       "    crs        |S1 1B ...\n",
       "    SWI_005    (time, lat, lon) float32 26MB ...\n",
       "    SWI_010    (time, lat, lon) float32 26MB ...\n",
       "    SWI_001    (time, lat, lon) float32 26MB ...\n",
       "    SWI_015    (time, lat, lon) float32 26MB ...\n",
       "    SWI_100    (time, lat, lon) float32 26MB ...\n",
       "    ...         ...\n",
       "    QFLAG_100  (time, lat, lon) float32 26MB ...\n",
       "    QFLAG_020  (time, lat, lon) float32 26MB ...\n",
       "    QFLAG_005  (time, lat, lon) float32 26MB ...\n",
       "    QFLAG_001  (time, lat, lon) float32 26MB ...\n",
       "    QFLAG_060  (time, lat, lon) float32 26MB ...\n",
       "    SSF        (time, lat, lon) float32 26MB ...\n",
       "Attributes: (12/25)\n",
       "    Conventions:          CF-1.6\n",
       "    archive_facility:     VITO\n",
       "    copyright:            Copernicus Service information 2023\n",
       "    geospatial_lat_max:   89.95\n",
       "    geospatial_lat_min:   -89.95\n",
       "    geospatial_lon_max:   179.95\n",
       "    ...                   ...\n",
       "    region_name:          GLOBE\n",
       "    sensor:               ASCAT\n",
       "    source:               Derived from EO microwave scatterometer observations\n",
       "    time_coverage_end:    2023-06-01T12:00:00Z\n",
       "    time_coverage_start:  2023-05-31T12:00:00Z\n",
       "    title:                Daily Soil Water Index 0.1degree: GLOBE 2023-06-01T..."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with xar.open_dataset(files[0]) as ncfile:\n",
    "    display(ncfile)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "762edb4a-b8a5-409b-b93a-19eb866c61fd",
   "metadata": {},
   "source": [
    "## Setup functions to load data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13403591-37aa-4ed6-a148-7dc901c4ac70",
   "metadata": {},
   "source": [
    "Define a function to load a timeseries based on a given (flat) index.\n",
    "\n",
    "We will use this function in a [**custom callback**][callbacks] to extract timeseries if we click on the map.\n",
    "\n",
    "[callbacks]: https://eomaps.readthedocs.io/en/latest/api_callbacks.html#custom-callbacks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7c61a6ce-d12b-4db4-a5d1-e7d7d4f7e977",
   "metadata": {},
   "outputs": [],
   "source": [
    "@lru_cache\n",
    "def get_ts(ind, parameter):\n",
    "    data = {}\n",
    "    for filepath in files:\n",
    "        with xar.open_dataset(filepath) as ncfile:\n",
    "            data[ncfile.time.values[0]] = ncfile[parameter].item(ind)\n",
    "            \n",
    "    return pd.DataFrame.from_dict(data, orient=\"index\", columns=[parameter])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ddc146d2-84ac-4ea7-977d-fa0c3a338ab2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SWI_010</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-06-01 12:00:00</th>\n",
       "      <td>54.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-06-02 12:00:00</th>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-06-03 12:00:00</th>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-06-04 12:00:00</th>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-06-05 12:00:00</th>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     SWI_010\n",
       "2023-06-01 12:00:00     54.5\n",
       "2023-06-02 12:00:00     55.0\n",
       "2023-06-03 12:00:00     55.0\n",
       "2023-06-04 12:00:00     57.0\n",
       "2023-06-05 12:00:00     57.0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = get_ts(1618422, \"SWI_010\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5ce832d-4948-4b28-9a43-e9597050db37",
   "metadata": {},
   "source": [
    "Create a [**custom callback**][callbacks] to plot the timeseries.\n",
    "\n",
    "The general call-signature for callbacks is:\n",
    "\n",
    "```python\n",
    "def some_callback(ID, pos, val, ind, **custom_kwargs):\n",
    "    # ID:   The ID of the clicked pixel (if available else same as \"ind\")\n",
    "    # pos:  The position (x, y) of the clicked pixel (in plot crs)\n",
    "    # val:  The value of the clicked pixel\n",
    "    # ind:  The numerical index of the pixel in the flattened data array\n",
    "```\n",
    "\n",
    "[callbacks]: https://eomaps.readthedocs.io/en/latest/api_callbacks.html#custom-callbacks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b36b4ae5-1e9f-48cc-8db8-c17fa5437ca8",
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_ts(ind, val, m, ax, parameter, time, **kwargs):\n",
    "    df = get_ts(ind, parameter=parameter)             # load the timeseries\n",
    "    a, = ax.plot(df, c=\"k\")                          # plot the timeseries\n",
    "    marker, = ax.plot(time, val, marker=\"o\", c=\"r\")  # add a marker to indicate the current day\n",
    "    \n",
    "    m.cb.pick.add_temporary_artist(a)                # remove the timeseries on next pick\n",
    "    m.cb.pick.add_temporary_artist(marker)           # remote the marker on next pick\n",
    "    m.redraw()                                       # redraw the figure (optional, only here to avoid glitches in Jupyter Notebooks) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61f1aab2-cb0b-4506-9086-b48820768c5b",
   "metadata": {},
   "source": [
    "Define a function to [**lazily add data layers**][on_layer_activation] to a map\n",
    "\n",
    "The general call-signature for a layer-activation callback is:\n",
    "\n",
    "```python\n",
    "def some_callback(m, **custom_kwargs):\n",
    "    # m:   The Maps object of the layer\n",
    "```\n",
    "\n",
    "[on_layer_activation]: https://eomaps.readthedocs.io/en/latest/generated/eomaps.eomaps.Maps.on_layer_activation.html#eomaps.eomaps.Maps.on_layer_activation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "72d0054a-948e-44d5-a79b-9426c8eaad4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# a function that will be executed if the layer becomes visible\n",
    "def on_layer(m, ax, filepath, parameter):\n",
    "    with xar.open_dataset(filepath) as ncfile:\n",
    "        data = ncfile.isel(time=0)[parameter]\n",
    "        \n",
    "        m.set_data(data, \"lon\", \"lat\", parameter=parameter, crs=ncfile.crs.spatial_ref)\n",
    "        m.set_shape.shade_raster()\n",
    "        m.plot_map(set_extent=False)\n",
    "        \n",
    "    m.cb.pick.set_execute_on_all_layers(True)                                      # execute callbacks irrespective of the visible layer\n",
    "    m.cb.pick.attach.annotate()                                                    # add a basic annotation on pick\n",
    "    m.cb.pick.attach(print_ts, m=m, ax=ax, parameter=parameter, time=ncfile.time)  # run the custom callback on pick"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89276042-386f-4025-b32a-db79760a0af2",
   "metadata": {},
   "source": [
    "## Visualize the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b75f048d-e925-4aa1-91d6-8a0344e62b70",
   "metadata": {},
   "outputs": [],
   "source": [
    "m = Maps(layer=\"all\")\n",
    "m.add_feature.preset(\"ocean\", \"land\")\n",
    "m.set_extent((-0.6416666666666515, 30.15833333333336, 32.25, 50.85833333333335))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a23d327-a4fb-4d45-a7f6-c19d28556059",
   "metadata": {},
   "source": [
    "Since we want to plot timeseries as well, we add an ordinary [matplotlib][mpl] axes to the plot.\n",
    "\n",
    "[mpl]: https://matplotlib.org/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "23f9092b-21a7-4513-b95f-cfe594948c1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "ax = m.f.add_subplot(211)\n",
    "ax.xaxis.set_major_formatter(ConciseDateFormatter(ax.xaxis.get_major_locator()))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe314a73-65b5-4039-a6b6-a34631fde8c7",
   "metadata": {},
   "source": [
    "Re-position the axes with respect to a given layout.\n",
    "- Make sure to checkout the [**LaouytEditor**][layouteditor] (you can activate it by pressing `alt  + L`)!\n",
    "\n",
    "[layouteditor]: https://eomaps.readthedocs.io/en/latest/api_layout_editor.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "703af44c-79ea-47b1-b88b-47ba480e0940",
   "metadata": {},
   "outputs": [],
   "source": [
    "layout = {\n",
    "    \"figsize\": [6.4, 4.8],\n",
    "    \"0_map\": [0.10129, 0.35, 0.78621, 0.63333],\n",
    "    \"1_\": [0.075, 0.08333, 0.8625, 0.25],\n",
    "}\n",
    "m.apply_layout(layout)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ebb720b-c751-4a8c-b573-fe36ce371644",
   "metadata": {},
   "source": [
    "**Lazily** add all availalble datasets to the map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "7daa590f-419f-4656-9028-42d1b4579f32",
   "metadata": {},
   "outputs": [],
   "source": [
    "for filepath in files:\n",
    "    m.on_layer_activation(on_layer, layer=filepath.stem, ax=ax, filepath=filepath, parameter=\"SWI_001\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21c3175c-ebfc-42bf-97fe-90fb0281016b",
   "metadata": {},
   "source": [
    "Show the first layer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "4a73936b-66ac-41a3-bc27-89dc7bbec458",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m.show_layer(files[0].stem)\n",
    "m.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "382162d6-1836-4ac0-aa34-0d1021cd164e",
   "metadata": {},
   "source": [
    "Get a slider to switch layers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d8cf4f99-d740-45d1-9ddd-b85c3f6d52e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "LayerSelectionSlider(description='Layers', layout=Layout(width='500px'), options=(('c_gls_SWI_202306011200_GLO…"
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     },
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    "widgets.LayerSelectionSlider(m, layers=[i.stem for i in files], layout=dict(width='500px'))"
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    "# [$\\Rightarrow$ Irregularly sampled data](<4_irregularly_sampled_data.ipynb>)"
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