docs

docs/_downloads/126324517196134368a58612b6143418/plot_csv_skytem_to_netcdf.ipynb

@@ -33,7 +33,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Convert the CSV data to NetCDF\n\n"
+        "## Convert the Skytem csv data to NetCDF\n\n"
       ]
     },
     {
@@ -58,7 +58,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "1 - Raw Data - \nImport raw AEM data from CSV-format.\nDefine input data file and associated metadata file\n\n"
+        "1 - Raw Data -\nImport raw AEM data from CSV-format.\nDefine input data file and associated metadata file\n\n"
       ]
     },
     {
@@ -76,7 +76,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "2 - Processed Data - \nImport processed AEM data from CSV-format.\nDefine input data file and associated metadata file\n\n"
+        "2 - Processed Data -\nImport processed AEM data from CSV-format.\nDefine input data file and associated metadata file\n\n"
       ]
     },
     {
@@ -94,7 +94,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "3 - Inverted Models - \nImport inverted AEM models from CSV-format.\nDefine input data file and associated metadata file\n\n"
+        "3 - Inverted Models -\nImport inverted AEM models from CSV-format.\nDefine input data file and associated metadata file\n\n"
       ]
     },
     {
@@ -112,7 +112,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "4 - Bedrock Picks - \nImport AEM-based estimated of depth to bedrock from CSV-format.\nDefine input data file and associated metadata file\n\n"
+        "4 - Bedrock Picks -\nImport AEM-based estimated of depth to bedrock from CSV-format.\nDefine input data file and associated metadata file\n\n"
       ]
     },
     {
@@ -130,7 +130,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "5 - Derivative Maps - \nImport interpolated bedrock and magnetic maps from TIF-format.\nDefine input metadata file (which contains the TIF filenames linked to variable names)\n\n"
+        "5 - Derivative Maps -\nImport interpolated bedrock and magnetic maps from TIF-format.\nDefine input metadata file (which contains the TIF filenames linked to variable names)\n\n"
       ]
     },
     {
@@ -159,7 +159,7 @@
       },
       "outputs": [],
       "source": [
-        "d_out = join(data_path, 'model//WISkyTEM.nc')\nsurvey.write_netcdf(d_out)\n\n# print a summary of the survey contents\nsurvey.contents()"
+        "d_out = join(data_path, 'model//WISkyTEM.nc')\nsurvey.write_netcdf(d_out)\n\n# print a summary of the survey contents\nprint(survey.contents)"
       ]
     },
     {
@@ -177,7 +177,7 @@
       },
       "outputs": [],
       "source": [
-        "new_survey = Survey().read_netcdf(d_out)"
+        "new_survey = Survey().read_netcdf(d_out)\n\nprint(new_survey.spatial_ref.attrs)\n\nprint(new_survey.tabular[0]['LM_gate_times'])\nprint(new_survey.tabular[0]['LM_gate_times'].values[0])"
       ]
     },
     {

docs/_downloads/5d748e1ff1eae67bd06af2fe99354ec8/plot_aseg_tempest_to_netcdf.ipynb

@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# ASEG to NetCDF \n\nThis example demonstrates the workflow for creating a GS file from the `ASEG <https://www.aseg.org.au/sites/default/files/pdf/ASEG-GDF2-REV4.pdf>`_ file format, as well as how to add multiple associated datasets to the Survey (e.g., Tabular and Raster groups). Specifically, this AEM survey contains the following datasets:\n\n1. Raw AEM data, from the Tempest system\n2. Inverted resistivity models\n3. An interpolated map of total magnetic intensity \n\nDataset Reference:\nMinsley, B.J., James, S.R., Bedrosian, P.A., Pace, M.D., Hoogenboom, B.E., and Burton, B.L., 2021, Airborne electromagnetic, magnetic, and radiometric survey of the Mississippi Alluvial Plain, November 2019 - March 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9E44CTQ.\n"
+        "\n# ASEG to NetCDF\n\nThis example demonstrates the workflow for creating a GS file from the `ASEG <https://www.aseg.org.au/sites/default/files/pdf/ASEG-GDF2-REV4.pdf>`_ file format, as well as how to add multiple associated datasets to the Survey (e.g., Tabular and Raster groups). Specifically, this AEM survey contains the following datasets:\n\n1. Raw AEM data, from the Tempest system\n2. Inverted resistivity models\n3. An interpolated map of total magnetic intensity\n\nDataset Reference:\nMinsley, B.J., James, S.R., Bedrosian, P.A., Pace, M.D., Hoogenboom, B.E., and Burton, B.L., 2021, Airborne electromagnetic, magnetic, and radiometric survey of the Mississippi Alluvial Plain, November 2019 - March 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9E44CTQ.\n"
       ]
     },
     {
@@ -58,7 +58,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "1. Raw Data - \nImport raw AEM data from ASEG-format.\nDefine input data file and associated metadata file\n\n"
+        "1. Raw Data -\nImport raw AEM data from ASEG-format.\nDefine input data file and associated metadata file\n\n"
       ]
     },
     {
@@ -76,7 +76,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "2. Inverted Models - \nImport inverted AEM models from ASEG-format.\nDefine input data file and associated metadata file\n\n"
+        "2. Inverted Models -\nImport inverted AEM models from ASEG-format.\nDefine input data file and associated metadata file\n\n"
       ]
     },
     {
@@ -94,7 +94,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "3. Magnetic Intensity Map - \nImport the magnetic data from TIF-format.\nDefine input metadata file (which contains the TIF filenames linked with desired variable names)\n\n"
+        "3. Magnetic Intensity Map -\nImport the magnetic data from TIF-format.\nDefine input metadata file (which contains the TIF filenames linked with desired variable names)\n\n"
       ]
     },
     {
@@ -141,7 +141,7 @@
       },
       "outputs": [],
       "source": [
-        "# Make a scatter plot of a specific tabular variable, using GSPy's plotter \nplt.figure()\nnew_survey.tabular[0].gs_tabular.scatter('Tx_Height', cmap='jet')\nplt.show()\n\n# Make a 2-D map plot of a specific raster variable, using Xarrays's plotter \nplt.figure()\nnew_survey.raster['magnetic_tmi'].plot(vmin=-1000, vmax=1000, cmap='jet')\nplt.show()"
+        "# Make a scatter plot of a specific tabular variable, using GSPy's plotter\nplt.figure()\nnew_survey.tabular[0].gs_tabular.scatter('Tx_Height', cmap='jet')\n\n# Make a 2-D map plot of a specific raster variable, using Xarrays's plotter\nplt.figure()\nnew_survey.raster['magnetic_tmi'].plot(vmin=-1000, vmax=1000, cmap='jet')\nplt.show()"
       ]
     }
   ],

docs/_downloads/8c74c090dc8f02c5545f332bf2007ead/plot_csv_resolve_to_netcdf.ipynb

@@ -33,7 +33,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Convert the CSV data to NetCDF\n\n"
+        "## Convert the resolve csv data to NetCDF\n\n"
       ]
     },
     {
@@ -141,7 +141,7 @@
       },
       "outputs": [],
       "source": [
-        "# Make a scatter plot of a specific data variable, using GSPy's plotter \nplt.figure()\nnew_survey.tabular[0].gs_tabular.scatter('DTM', vmin=30, vmax=50)\nplt.show()\n\n# Make a scatter plot of a specific model variable, using GSPy's plotter \nplt.figure()\nnew_survey.tabular[1].gs_tabular.scatter('DOI_STANDARD')\nplt.show()\n\n# Check the model dataset\nprint(new_survey.tabular[1])"
+        "# Make a scatter plot of a specific data variable, using GSPy's plotter\nplt.figure()\nnew_survey.tabular[0].gs_tabular.scatter('DTM', vmin=30, vmax=50)\n\n# Make a scatter plot of a specific model variable, using GSPy's plotter\nplt.figure()\nnew_survey.tabular[1].gs_tabular.scatter('DOI_STANDARD')\nplt.show()\n\n# Check the model dataset\nprint(new_survey.tabular[1])"
       ]
     }
   ],

docs/_downloads/ca9c324f898727403a18484f42dc3020/plot_csv_resolve_to_netcdf.py

@@ -17,8 +17,8 @@
 from gspy import Survey
 
 #%%
-# Convert the CSV data to NetCDF
-# ++++++++++++++++++++++++++++++
+# Convert the resolve csv data to NetCDF
+# ++++++++++++++++++++++++++++++++++++++
 
 #%%
 # Initialize the Survey
@@ -65,12 +65,11 @@
 #%%
 # Plotting
 
-# Make a scatter plot of a specific data variable, using GSPy's plotter 
+# Make a scatter plot of a specific data variable, using GSPy's plotter
 plt.figure()
 new_survey.tabular[0].gs_tabular.scatter('DTM', vmin=30, vmax=50)
-plt.show()
 
-# Make a scatter plot of a specific model variable, using GSPy's plotter 
+# Make a scatter plot of a specific model variable, using GSPy's plotter
 plt.figure()
 new_survey.tabular[1].gs_tabular.scatter('DOI_STANDARD')
 plt.show()

docs/_downloads/f3e493e44e38f967de3a7f8f6377576b/plot_csv_skytem_to_netcdf.py

@@ -22,8 +22,8 @@
 from gspy import Survey
 
 #%%
-# Convert the CSV data to NetCDF
-# ++++++++++++++++++++++++++++++++++++++
+# Convert the Skytem csv data to NetCDF
+# +++++++++++++++++++++++++++++++++++++
 
 #%%
 # Initialize the Survey
@@ -38,7 +38,7 @@
 survey = Survey(metadata)
 
 #%%
-# 1 - Raw Data - 
+# 1 - Raw Data -
 # Import raw AEM data from CSV-format.
 # Define input data file and associated metadata file
 d_data1 = join(data_path, 'data//WI_SkyTEM_2021_ContractorData.csv')
@@ -48,7 +48,7 @@
 survey.add_tabular(type='csv', data_filename=d_data1, metadata_file=d_supp1)
 
 #%%
-# 2 - Processed Data - 
+# 2 - Processed Data -
 # Import processed AEM data from CSV-format.
 # Define input data file and associated metadata file
 d_data2 = join(data_path, 'data//WI_SkyTEM_2021_ProcessedData.csv')
@@ -58,7 +58,7 @@
 survey.add_tabular(type='csv', data_filename=d_data2, metadata_file=d_supp2)
 
 #%%
-# 3 - Inverted Models - 
+# 3 - Inverted Models -
 # Import inverted AEM models from CSV-format.
 # Define input data file and associated metadata file
 m_data3 = join(data_path, 'model//WI_SkyTEM_2021_InvertedModels.csv')
@@ -68,7 +68,7 @@
 survey.add_tabular(type='csv', data_filename=m_data3, metadata_file=m_supp3)
 
 #%%
-# 4 - Bedrock Picks - 
+# 4 - Bedrock Picks -
 # Import AEM-based estimated of depth to bedrock from CSV-format.
 # Define input data file and associated metadata file
 d_data4 = join(data_path, 'data//topDolomite_Blocky_LidarDEM.csv')
@@ -78,7 +78,7 @@
 survey.add_tabular(type='csv', data_filename=d_data4, metadata_file=d_supp4)
 
 #%%
-# 5 - Derivative Maps - 
+# 5 - Derivative Maps -
 # Import interpolated bedrock and magnetic maps from TIF-format.
 # Define input metadata file (which contains the TIF filenames linked to variable names)
 m_supp5 = join(data_path, 'data//WI_SkyTEM_mag_bedrock_grids_md.json')
@@ -92,12 +92,17 @@
 survey.write_netcdf(d_out)
 
 # print a summary of the survey contents
-survey.contents()
+print(survey.contents)
 
 #%%
 # Reading back in
 new_survey = Survey().read_netcdf(d_out)
 
+print(new_survey.spatial_ref.attrs)
+
+print(new_survey.tabular[0]['LM_gate_times'])
+print(new_survey.tabular[0]['LM_gate_times'].values[0])
+
 #%%
 # Plotting
 

docs/_downloads/f757326c59593466a9918aff9f15e6e9/plot_aseg_tempest_to_netcdf.py

@@ -1,12 +1,12 @@
 """
-ASEG to NetCDF 
+ASEG to NetCDF
 --------------
 
 This example demonstrates the workflow for creating a GS file from the `ASEG <https://www.aseg.org.au/sites/default/files/pdf/ASEG-GDF2-REV4.pdf>`_ file format, as well as how to add multiple associated datasets to the Survey (e.g., Tabular and Raster groups). Specifically, this AEM survey contains the following datasets:
 
 1. Raw AEM data, from the Tempest system
 2. Inverted resistivity models
-3. An interpolated map of total magnetic intensity 
+3. An interpolated map of total magnetic intensity
 
 Dataset Reference:
 Minsley, B.J., James, S.R., Bedrosian, P.A., Pace, M.D., Hoogenboom, B.E., and Burton, B.L., 2021, Airborne electromagnetic, magnetic, and radiometric survey of the Mississippi Alluvial Plain, November 2019 - March 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9E44CTQ.
@@ -35,7 +35,7 @@
 survey = Survey(metadata)
 
 #%%
-# 1. Raw Data - 
+# 1. Raw Data -
 # Import raw AEM data from ASEG-format.
 # Define input data file and associated metadata file
 d_data = join(data_path, 'data//Tempest.dat')
@@ -45,7 +45,7 @@
 survey.add_tabular(type='aseg', data_filename=d_data, metadata_file=d_supp)
 
 #%%
-# 2. Inverted Models - 
+# 2. Inverted Models -
 # Import inverted AEM models from ASEG-format.
 # Define input data file and associated metadata file
 m_data = join(data_path, 'model//Tempest_model.dat')
@@ -55,7 +55,7 @@
 survey.add_tabular(type='aseg', data_filename=m_data, metadata_file=m_supp)
 
 #%%
-# 3. Magnetic Intensity Map - 
+# 3. Magnetic Intensity Map -
 # Import the magnetic data from TIF-format.
 # Define input metadata file (which contains the TIF filenames linked with desired variable names)
 r_supp = join(data_path, 'data//Tempest_raster_md.json')
@@ -77,12 +77,11 @@
 # %%
 # Plotting
 
-# Make a scatter plot of a specific tabular variable, using GSPy's plotter 
+# Make a scatter plot of a specific tabular variable, using GSPy's plotter
 plt.figure()
 new_survey.tabular[0].gs_tabular.scatter('Tx_Height', cmap='jet')
-plt.show()
 
-# Make a 2-D map plot of a specific raster variable, using Xarrays's plotter 
+# Make a 2-D map plot of a specific raster variable, using Xarrays's plotter
 plt.figure()
 new_survey.raster['magnetic_tmi'].plot(vmin=-1000, vmax=1000, cmap='jet')
 plt.show()

docs/_images/inheritance-011a3fe28f78942b28872b904359b08d9c1f6bcf.png.map

@@ -0,0 +1,4 @@
+<map id="inheritance766a57a1c1" name="inheritance766a57a1c1">
+<area shape="rect" id="node1" href="xarray_gs/Dataset_gs.html#gspy.src.classes.data.xarray_gs.Dataset.Dataset" target="_top" title="Accessor to xarray.Dataset to better handle coordinates/dimensions and variables that honour the CF convention." alt="" coords="5,5,77,31"/>
+<area shape="rect" id="node2" href="#gspy.src.classes.data.Raster.Raster" target="_top" title="Class defining a set of gridded data (2D or 3D)." alt="" coords="125,5,197,31"/>
+</map>

docs/_images/inheritance-114d60911ff42c06a10cbb78177daf2b5a14e7f8.png.map

@@ -0,0 +1,3 @@
+<map id="inheritanceb06ac77178" name="inheritanceb06ac77178">
+<area shape="rect" id="node1" href="#gspy.src.classes.data.xarray_gs.DataArray.DataArray" target="_top" title="Accessor for :class: &#39;xarray.DataArray&#39;" alt="" coords="5,5,87,31"/>
+</map>

docs/_images/inheritance-150b76f7e0e593b093358c8b247007fe78eceaed.png.map

@@ -0,0 +1,3 @@
+<map id="inheritanceb06ac77178" name="inheritanceb06ac77178">
+<area shape="rect" id="node1" href="#gspy.src.classes.data.xarray_gs.DataArray.DataArray" target="_top" title="Accessor for xarray.DataArray" alt="" coords="5,5,87,31"/>
+</map>

docs/_images/inheritance-340eb427fc8c301ec85df3a54852374ceddee94b.png.map

@@ -0,0 +1,5 @@
+<map id="inheritance6cb51639ad" name="inheritance6cb51639ad">
+<area shape="rect" id="node1" href="xarray_gs/Dataset_gs.html#gspy.src.classes.data.xarray_gs.Dataset.Dataset" target="_top" title="Accessor to xarray.Dataset to better handle coordinates/dimensions and variables that honour the CF convention." alt="" coords="5,5,77,31"/>
+<area shape="rect" id="node2" href="tabular.html#gspy.src.classes.data.Tabular.Tabular" target="_top" title="Class to handle tabular data." alt="" coords="125,5,197,31"/>
+<area shape="rect" id="node3" href="#gspy.src.classes.data.tabular_aseg.Tabular_aseg" target="_top" title="Class to handle ASEG files." alt="" coords="245,5,344,31"/>
+</map>

docs/_images/inheritance-364596b994170efa2b9975ec777f50d1dd57a5e8.png.map

@@ -0,0 +1,5 @@
+<map id="inheritance6cb51639ad" name="inheritance6cb51639ad">
+<area shape="rect" id="node1" href="xarray_gs/Dataset_gs.html#gspy.src.classes.data.xarray_gs.Dataset.Dataset" target="_top" title="Accessor to xarray.Dataset to better handle coordinates/dimensions and variables that honour the CF convention." alt="" coords="5,5,77,31"/>
+<area shape="rect" id="node2" href="tabular.html#gspy.src.classes.data.Tabular.Tabular" target="_top" title="Accessor to xarray.Dataset that handles Tabular data" alt="" coords="125,5,197,31"/>
+<area shape="rect" id="node3" href="#gspy.src.classes.data.tabular_aseg.Tabular_aseg" target="_top" title="Accessor to xarray.Dataset that handles ASEG Tabular data" alt="" coords="245,5,344,31"/>
+</map>

docs/_images/inheritance-38119423a735bf4e0b23622f9b4fa1b70db536e3.png.map

@@ -0,0 +1,4 @@
+<map id="inheritance05014de90f" name="inheritance05014de90f">
+<area shape="rect" id="node1" href="#gspy.src.classes.data.xarray_gs.Coordinate.Coordinate" target="_top" title="Accessor to xarray.DataArray to define a Coordinate." alt="" coords="135,5,220,31"/>
+<area shape="rect" id="node2" href="DataArray_gs.html#gspy.src.classes.data.xarray_gs.DataArray.DataArray" target="_top" title="Accessor for xarray.DataArray" alt="" coords="5,5,87,31"/>
+</map>

docs/_images/inheritance-3fc84a0d3c7eee00a5d4e636bfac07a23ec71446.png.map

@@ -0,0 +1,3 @@
+<map id="inheritancef543939383" name="inheritancef543939383">
+<area shape="rect" id="node1" href="#gspy.src.classes.data.xarray_gs.Dataset.Dataset" target="_top" title="Accessor to xarray.Dataset to better handle coordinates/dimensions and variables that honour the CF convention." alt="" coords="5,5,77,31"/>
+</map>

docs/_images/inheritance-460061a8cf908e32cab2c0d549121b5e1b6945be.png.map

@@ -0,0 +1,3 @@
+<map id="inheritanceb06ac77178" name="inheritanceb06ac77178">
+<area shape="rect" id="node1" href="#gspy.src.classes.data.xarray_gs.DataArray.DataArray" target="_top" title="Accessor for xarray.DataArray." alt="" coords="5,5,87,31"/>
+</map>

docs/_images/inheritance-68fd8eb6a3a07be15499908c5c709974e2cf1498.png.map

@@ -0,0 +1,4 @@
+<map id="inheritance05014de90f" name="inheritance05014de90f">
+<area shape="rect" id="node1" href="#gspy.src.classes.data.xarray_gs.Coordinate.Coordinate" target="_top" title="Accessor to xarray.DataArray to define a Coordinate." alt="" coords="135,5,220,31"/>
+<area shape="rect" id="node2" href="DataArray_gs.html#gspy.src.classes.data.xarray_gs.DataArray.DataArray" target="_top" title="Accessor for :class: &#39;xarray.DataArray&#39;" alt="" coords="5,5,87,31"/>
+</map>

docs/_images/inheritance-6f717ccf11fdc4f3755d5d04fbc8dbc43d7f5ac9.png.map

@@ -0,0 +1,3 @@
+<map id="inheritancecd333d4876" name="inheritancecd333d4876">
+<area shape="rect" id="node1" href="#gspy.src.classes.survey.Survey.Survey" target="_top" title="Class defining a survey or dataset" alt="" coords="5,5,77,31"/>
+</map>

docs/_images/inheritance-a06c3d3ac74741b4f15997485f5d445b801973ac.png.map

@@ -0,0 +1,5 @@
+<map id="inheritance9545d01de6" name="inheritance9545d01de6">
+<area shape="rect" id="node1" href="xarray_gs/Dataset_gs.html#gspy.src.classes.data.xarray_gs.Dataset.Dataset" target="_top" title="Accessor to xarray.Dataset to better handle coordinates/dimensions and variables that honour the CF convention." alt="" coords="5,5,77,31"/>
+<area shape="rect" id="node2" href="tabular.html#gspy.src.classes.data.Tabular.Tabular" target="_top" title="Accessor to xarray.Dataset that handles Tabular data" alt="" coords="125,5,197,31"/>
+<area shape="rect" id="node3" href="#gspy.src.classes.data.tabular_csv.Tabular_csv" target="_top" title="Class to handle tabular csv files." alt="" coords="245,5,337,31"/>
+</map>

docs/_images/inheritance-a53f52039ee00eb5ed4cce41af916bed0109ccd0.png.map

@@ -0,0 +1,4 @@
+<map id="inheritance05014de90f" name="inheritance05014de90f">
+<area shape="rect" id="node1" href="#gspy.src.classes.data.xarray_gs.Coordinate.Coordinate" target="_top" title="Accessor to xarray.DataArray to define a Coordinate." alt="" coords="135,5,220,31"/>
+<area shape="rect" id="node2" href="DataArray_gs.html#gspy.src.classes.data.xarray_gs.DataArray.DataArray" target="_top" title="Accessor for xarray.DataArray." alt="" coords="5,5,87,31"/>
+</map>

docs/_images/inheritance-ac8af6802ca06a1b804892bbd149d9c9792eddf5.png.map

@@ -0,0 +1,4 @@
+<map id="inheritance4035a07049" name="inheritance4035a07049">
+<area shape="rect" id="node1" href="xarray_gs/Dataset_gs.html#gspy.src.classes.data.xarray_gs.Dataset.Dataset" target="_top" title="Accessor to xarray.Dataset to better handle coordinates/dimensions and variables that honour the CF convention." alt="" coords="5,5,77,31"/>
+<area shape="rect" id="node2" href="#gspy.src.classes.data.Tabular.Tabular" target="_top" title="Class to handle tabular data." alt="" coords="125,5,197,31"/>
+</map>

docs/_images/inheritance-b2cdf5f49e1367158743a97acf69e506d80aea6e.png.map

@@ -0,0 +1,4 @@
+<map id="inheritance05014de90f" name="inheritance05014de90f">
+<area shape="rect" id="node1" href="#gspy.src.classes.data.xarray_gs.Coordinate.Coordinate" target="_top" title="Accessor to :class: `xarray.DataArray` to define a Coordinate." alt="" coords="135,5,220,31"/>
+<area shape="rect" id="node2" href="DataArray_gs.html#gspy.src.classes.data.xarray_gs.DataArray.DataArray" target="_top" title="Accessor for :class: &#39;xarray.DataArray&#39;" alt="" coords="5,5,87,31"/>
+</map>