{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 02 Extract XYZ Coordinates\n",
"\n",
"The elevation or depth of input data is needed to locate it in a 3D space. The data can either be provided when creating the data, i.e. when digitizing contour lines or by extracting it from a digital elevation model (DEM) or from an existing surface of an interface in the subsurface. For consistency, the elevation column will be denoted with ``Z``. The input vector data can be loaded again as ``GeoDataFrame`` using ``GeoPandas``. The raster from which elevation data will be extracted can either be provided as ``NumPy`` ``ndarray`` or opened with ``rasterio`` if a raster file is available on your hard disk.\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Set File Paths and download Tutorial Data\n",
"\n",
"If you downloaded the latest `GemGIS` version from the Github repository, append the path so that the package can be imported successfully. Otherwise, it is recommended to install `GemGIS` via `pip install gemgis` and import `GemGIS` using `import gemgis as gg`. In addition, the file path to the folder where the data is being stored is set. The tutorial data is downloaded using Pooch (https://www.fatiando.org/pooch/latest/index.html) and stored in the specified folder. Use `pip install pooch` if Pooch is not installed on your system yet."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2021-03-17T10:52:58.444997Z",
"start_time": "2021-03-17T10:52:56.150000Z"
}
},
"outputs": [],
"source": [
"import gemgis as gg\n",
"\n",
"file_path ='data/02_extract_xyz/'"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2021-03-17T10:52:58.525121Z",
"start_time": "2021-03-17T10:52:58.495075Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Downloading file '02_extract_xyz.zip' from 'https://rwth-aachen.sciebo.de/s/AfXRsZywYDbUF34/download?path=%2F02_extract_xyz.zip' to 'C:\\Users\\ale93371\\Documents\\gemgis\\docs\\getting_started\\tutorial\\data\\02_extract_xyz'.\n"
]
}
],
"source": [
"gg.download_gemgis_data.download_tutorial_data(filename=\"02_extract_xyz.zip\", dirpath=file_path)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Point Data\n",
"\n",
"The point data stored as shape file will be loaded as GeoDataFrame. The raster will be loaded using rasterio. "
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:50.980061Z",
"start_time": "2020-12-29T18:22:44.811443Z"
}
},
"outputs": [],
"source": [
"import rasterio\n",
"from rasterio.plot import show\n",
"import geopandas as gpd\n",
"\n",
"gdf = gpd.read_file(file_path + 'interfaces_points.shp')\n",
"\n",
"dem = rasterio.open(file_path + 'raster.tif')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The GeoDataFrame consists of ``id``, ``formation`` and ``geometry`` columns."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:51.010195Z",
"start_time": "2020-12-29T18:22:50.983063Z"
}
},
"outputs": [
{
"data": {
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},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdf.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The differend bands of the raster data can be returned using the ``read(..)`` function. This will return the values of the raster at each cell location."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:51.041289Z",
"start_time": "2020-12-29T18:22:51.013745Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"array([[[482.82904, 485.51953, 488.159 , ..., 618.8612 , 620.4424 ,\n",
" 622.05786],\n",
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" 361.78635]]], dtype=float32)"
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},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dem.read()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plotting the data\n",
"\n",
"The figures below show the original raster and point data. They can be plotted using ``matplotlib`` functions."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:51.503550Z",
"start_time": "2020-12-29T18:22:51.044293Z"
}
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"fig, (ax1,ax2) = plt.subplots(1,2)\n",
"\n",
"ax1.imshow(dem.read(1), cmap='gist_earth', vmin=250, vmax=750, extent=[0,972,0,1069])\n",
"ax1.grid()\n",
"\n",
"gdf.plot(ax=ax2, aspect='equal')\n",
"ax2.grid()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Extracting the Coordinates\n",
"\n",
"The ``X``, ``Y`` and ``Z`` coordinates of the GeoDataFrame can be extracted using the function ``extract_xyz(..)``.\n",
"\n",
"The resulting GeoDataFrame has now an additional ``X``, ``Y`` and ``Z`` column containing the coordinates of the point objects. These can now be easily used for further processing. The geometry types of the shapely objects remained unchanged. The id column was dropped by default."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:51.583568Z",
"start_time": "2020-12-29T18:22:51.505552Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
formation
\n",
"
geometry
\n",
"
X
\n",
"
Y
\n",
"
Z
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
Ton
\n",
"
POINT (19.15013 293.31349)
\n",
"
19.15
\n",
"
293.31
\n",
"
364.99
\n",
"
\n",
"
\n",
"
1
\n",
"
Ton
\n",
"
POINT (61.93437 381.45933)
\n",
"
61.93
\n",
"
381.46
\n",
"
400.34
\n",
"
\n",
"
\n",
"
2
\n",
"
Ton
\n",
"
POINT (109.35786 480.94557)
\n",
"
109.36
\n",
"
480.95
\n",
"
459.55
\n",
"
\n",
"
\n",
"
3
\n",
"
Ton
\n",
"
POINT (157.81230 615.99943)
\n",
"
157.81
\n",
"
616.00
\n",
"
525.69
\n",
"
\n",
"
\n",
"
4
\n",
"
Ton
\n",
"
POINT (191.31803 719.09398)
\n",
"
191.32
\n",
"
719.09
\n",
"
597.63
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" formation geometry X Y Z\n",
"0 Ton POINT (19.15013 293.31349) 19.15 293.31 364.99\n",
"1 Ton POINT (61.93437 381.45933) 61.93 381.46 400.34\n",
"2 Ton POINT (109.35786 480.94557) 109.36 480.95 459.55\n",
"3 Ton POINT (157.81230 615.99943) 157.81 616.00 525.69\n",
"4 Ton POINT (191.31803 719.09398) 191.32 719.09 597.63"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdf_xyz = gg.vector.extract_xyz(gdf=gdf,\n",
" dem=dem)\n",
"\n",
"gdf_xyz.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plotting the Result\n",
"\n",
"The figures below show the elevation data (blue = 250 m, white = 750 m), the original point data and the point data including color-coded X, Y and Z values.\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:52.124038Z",
"start_time": "2020-12-29T18:22:51.592024Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"fig, (ax1,ax2,ax3) = plt.subplots(1,3)\n",
"\n",
"ax1.imshow(dem.read(1), cmap='gist_earth', vmin=250, vmax=750, extent=[0,972,0,1069])\n",
"ax1.grid()\n",
"\n",
"gdf.plot(ax=ax2, aspect='equal')\n",
"ax2.grid()\n",
"\n",
"gdf_xyz.plot(ax=ax3, aspect='equal', column='Z', cmap='gist_earth',vmin=250, vmax=750)\n",
"ax3.grid()\n",
"\n",
"plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Line Data\n",
"\n",
"The point data stored as shape file will be loaded as GeoDataFrame. The raster will be loaded using rasterio. "
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:52.155611Z",
"start_time": "2020-12-29T18:22:52.126042Z"
}
},
"outputs": [],
"source": [
"import geopandas as gpd\n",
"import rasterio\n",
"from rasterio.plot import show\n",
"import gemgis as gg\n",
"\n",
"gdf = gpd.read_file(file_path + 'interfaces_lines.shp')\n",
"\n",
"dem = rasterio.open(file_path + 'raster.tif')"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:52.202747Z",
"start_time": "2020-12-29T18:22:52.157558Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"fig, (ax1,ax2) = plt.subplots(1,2)\n",
"\n",
"ax1.imshow(dem.read(1), cmap='gist_earth', vmin=250, vmax=750, extent=[0,972,0,1069])\n",
"ax1.grid()\n",
"\n",
"gdf.plot(ax=ax2, aspect='equal')\n",
"ax2.grid()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Extracting the Coordinates\n",
"\n",
"The ``X``, ``Y`` and ``Z`` coordinates of the GeoDataFrame can be extracted using the function ``extract_xyz(..)``.\n",
"\n",
"The resulting GeoDataFrame has now an additional ``X``, ``Y`` and ``Z`` column. These represent the values of the extracted vertices. The geometry types of the shapely objects in the GeoDataFrame were converted from LineStrings to Points to match the X, Y and Y column data. The ``id`` column was dropped by default. The index of the new GeoDataFrame was reset.\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:52.600385Z",
"start_time": "2020-12-29T18:22:52.476807Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
formation
\n",
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geometry
\n",
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X
\n",
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Y
\n",
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Z
\n",
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\n",
" \n",
" \n",
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0
\n",
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Sand1
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POINT (0.25633 264.86215)
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0.26
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264.86
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353.97
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1
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Sand1
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POINT (10.59347 276.73371)
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10.59
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276.73
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359.04
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2
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Sand1
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POINT (17.13494 289.08982)
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17.13
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289.09
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364.28
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3
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Sand1
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POINT (19.15013 293.31349)
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19.15
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293.31
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364.99
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\n",
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\n",
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4
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Sand1
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POINT (27.79512 310.57169)
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27.80
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310.57
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372.81
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\n",
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"text/plain": [
" formation geometry X Y Z\n",
"0 Sand1 POINT (0.25633 264.86215) 0.26 264.86 353.97\n",
"1 Sand1 POINT (10.59347 276.73371) 10.59 276.73 359.04\n",
"2 Sand1 POINT (17.13494 289.08982) 17.13 289.09 364.28\n",
"3 Sand1 POINT (19.15013 293.31349) 19.15 293.31 364.99\n",
"4 Sand1 POINT (27.79512 310.57169) 27.80 310.57 372.81"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdf_xyz = gg.vector.extract_xyz(gdf=gdf,\n",
" dem=dem)\n",
"\n",
"gdf_xyz.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plotting the Result\n",
"\n",
"The figures below show the elevation data (blue = 250 m, white = 750 m), the original LineString data and the extracted point data including color-coded X, Y and Z values.\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:53.031494Z",
"start_time": "2020-12-29T18:22:52.605374Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"fig, (ax1,ax2) = plt.subplots(1,2)\n",
"\n",
"ax1.imshow(dem.read(1), cmap='gist_earth', vmin=250, vmax=750, extent=[0,972,0,1069])\n",
"ax1.grid()\n",
"\n",
"gdf.plot(ax=ax2, aspect='equal', column='formation')\n",
"ax2.grid()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Extracting the Coordinates\n",
"\n",
"The ``X``, ``Y`` and ``Z`` coordinates of the GeoDataFrame can be extracted using the function ``extract_xyz(..)``.\n",
"\n",
"The resulting GeoDataFrame has now an additional ``X``, ``Y`` and ``Z`` column. These represent the values of the extracted vertices. The geometry types of the shapely objects in the GeoDataFrame were converted from LineStrings to Points to match the X, Y and Y column data. The ``id`` column was dropped by default. The index of the new GeoDataFrame was reset.\n"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:23:39.848914Z",
"start_time": "2020-12-29T18:23:39.457632Z"
},
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
formation
\n",
"
geometry
\n",
"
X
\n",
"
Y
\n",
"
Z
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
Sand1
\n",
"
POINT (10.59347 276.73371)
\n",
"
10.59
\n",
"
276.73
\n",
"
359.04
\n",
"
\n",
"
\n",
"
1
\n",
"
Sand1
\n",
"
POINT (17.13494 289.08982)
\n",
"
17.13
\n",
"
289.09
\n",
"
364.28
\n",
"
\n",
"
\n",
"
2
\n",
"
Sand1
\n",
"
POINT (19.15013 293.31349)
\n",
"
19.15
\n",
"
293.31
\n",
"
364.99
\n",
"
\n",
"
\n",
"
3
\n",
"
Sand1
\n",
"
POINT (27.79512 310.57169)
\n",
"
27.80
\n",
"
310.57
\n",
"
372.81
\n",
"
\n",
"
\n",
"
4
\n",
"
Sand1
\n",
"
POINT (34.41735 324.13919)
\n",
"
34.42
\n",
"
324.14
\n",
"
377.43
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" formation geometry X Y Z\n",
"0 Sand1 POINT (10.59347 276.73371) 10.59 276.73 359.04\n",
"1 Sand1 POINT (17.13494 289.08982) 17.13 289.09 364.28\n",
"2 Sand1 POINT (19.15013 293.31349) 19.15 293.31 364.99\n",
"3 Sand1 POINT (27.79512 310.57169) 27.80 310.57 372.81\n",
"4 Sand1 POINT (34.41735 324.13919) 34.42 324.14 377.43"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdf_xyz = gg.vector.extract_xyz(gdf=gdf,\n",
" dem=dem,\n",
" remove_total_bounds=True,\n",
" threshold_bounds=1)\n",
"\n",
"gdf_xyz.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plotting the Result\n",
"\n",
"The figures below show the elevation data (blue = 250 m, white = 750 m), the original Polygon data and the extracted point data including color-coded X, Y and Z values.\n"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:23:40.659139Z",
"start_time": "2020-12-29T18:23:39.946934Z"
}
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"fig, (ax1,ax2,ax3) = plt.subplots(1,3)\n",
"\n",
"ax1.imshow(dem.read(1), origin='lower', cmap='gist_earth', vmin=250, vmax=750, extent=[0,972,0,1069])\n",
"ax1.grid()\n",
"\n",
"gdf.plot(ax=ax2, aspect='equal', column='formation')\n",
"ax2.grid()\n",
"\n",
"gdf_xyz.plot(ax=ax3, aspect='equal', column='Z', cmap='gist_earth',vmin=250, vmax=750)\n",
"ax3.grid()\n",
"\n",
"plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Additional Arguments\n",
"\n",
"Several additional arguments can be passed to adapt the functionality of the function. For further reference, see the [API Reference for extract_xyz](https://gemgis.readthedocs.io/en/latest/api_reference/vector_data.html).\n",
"\n",
"* reset_index (bool)\n",
"* drop_id (bool)\n",
"* drop_level0 (bool)\n",
"* drop_level1 (bool)\n",
"* drop_index (bool)\n",
"* drop_points (bool)\n",
"* target_crs(str, pyproj.crs.crs.CRS)\n",
"* bbox (list)\n",
"* remove_total_bounds (bool)\n",
"* threshold_bounds (float, int)\n",
"\n",
"### Original Function \n",
"Original function with default arguments."
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:54.172219Z",
"start_time": "2020-12-29T18:22:54.075104Z"
}
},
"outputs": [
{
"data": {
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"text/plain": [
" formation geometry X Y Z\n",
"0 Sand1 POINT (0.25633 264.86215) 0.26 264.86 353.97\n",
"1 Sand1 POINT (10.59347 276.73371) 10.59 276.73 359.04\n",
"2 Sand1 POINT (17.13494 289.08982) 17.13 289.09 364.28\n",
"3 Sand1 POINT (19.15013 293.31349) 19.15 293.31 364.99\n",
"4 Sand1 POINT (27.79512 310.57169) 27.80 310.57 372.81"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdf_xyz = gg.vector.extract_xyz(gdf=gdf,\n",
" dem=dem,\n",
" reset_index=True,\n",
" drop_id=True,\n",
" drop_level0=True,\n",
" drop_level1=True, \n",
" drop_index=True, \n",
" drop_points=True,\n",
" target_crs=gdf.crs,\n",
" bbox = None)\n",
"\n",
"gdf_xyz.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Avoid resetting the index and do not drop ID column\n",
"\n",
"This time, the index is not reset and the id column is not dropped."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:54.268248Z",
"start_time": "2020-12-29T18:22:54.177220Z"
}
},
"outputs": [
{
"data": {
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" id formation geometry \\\n",
"0 0 None Sand1 POINT (0.25633 264.86215) \n",
" 0 None Sand1 POINT (10.59347 276.73371) \n",
" 0 None Sand1 POINT (17.13494 289.08982) \n",
" 0 None Sand1 POINT (19.15013 293.31349) \n",
" 0 None Sand1 POINT (27.79512 310.57169) \n",
"\n",
" points X Y Z \n",
"0 0 [0.256327195431048, 264.86214748436396] 0.26 264.86 353.97 \n",
" 0 [10.59346813871597, 276.73370778641777] 10.59 276.73 359.04 \n",
" 0 [17.134940141888464, 289.089821570188] 17.13 289.09 364.28 \n",
" 0 [19.150128045807676, 293.313485355882] 19.15 293.31 364.99 \n",
" 0 [27.79511673965105, 310.571692592952] 27.80 310.57 372.81 "
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdf_xyz = gg.vector.extract_xyz(gdf=gdf,\n",
" dem=dem,\n",
" reset_index=False,\n",
" drop_id=False,\n",
" drop_level0=True,\n",
" drop_level1=True, \n",
" drop_index=False, \n",
" drop_points=False,\n",
" target_crs=gdf.crs,\n",
" bbox = None)\n",
"\n",
"gdf_xyz.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Resetting the index and keeping index columns\n",
"\n",
"The index is reset but the previous index columns ``level_0`` and ``level_1`` are kept."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"ExecuteTime": {
"end_time": "2020-12-29T18:22:54.396381Z",
"start_time": "2020-12-29T18:22:54.272262Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"