![](\"../images/tutorial57_cover.png\")
"
]
},
{
"cell_type": "markdown",
"id": "9f5b6b2d",
"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,
"id": "d384ee89",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING (theano.configdefaults): g++ not available, if using conda: `conda install m2w64-toolchain`\n",
"WARNING (theano.configdefaults): g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano flags cxx to an empty string.\n",
"WARNING (theano.configdefaults): install mkl with `conda install mkl-service`: No module named 'mkl'\n",
"WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n"
]
}
],
"source": [
"import warnings\n",
"warnings.filterwarnings(\"ignore\")\n",
"\n",
"import geopandas as gpd\n",
"import pandas as pd\n",
"import gempy as gp\n",
"import gemgis as gg"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "0bce13c2",
"metadata": {},
"outputs": [],
"source": [
"file_path ='data/57_creating_spaghettii_plots_in_gempy/'\n",
"gg.download_gemgis_data.download_tutorial_data(filename=\"57_creating_spaghettii_plots_in_gempy.zip\", dirpath=file_path)"
]
},
{
"cell_type": "markdown",
"id": "311eb0c9",
"metadata": {},
"source": [
"## Loading the Interface and Orientations Data\n",
"\n",
"The interface and orientation data is provided for a simple syncline model as Shapefile. "
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "342ba118",
"metadata": {},
"outputs": [],
"source": [
"interfaces = gpd.read_file('data/57_creating_spaghettii_plots_in_gempy/SynclineInterfaces.shp')\n",
"orientations = gpd.read_file('data/57_creating_spaghettii_plots_in_gempy/SynclineInterfaces.shp')"
]
},
{
"cell_type": "markdown",
"id": "0fd56671",
"metadata": {},
"source": [
"## Deleting columns and dropping geometries"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "a8720959",
"metadata": {},
"outputs": [],
"source": [
"del interfaces['polarity']\n",
"del interfaces['dip']\n",
"del interfaces['azimuth']\n",
"interfaces['Z'] = -100\n",
"orientations['Z'] = -100\n",
"\n",
"interfaces = pd.DataFrame(interfaces.drop(columns='geometry'))\n",
"\n",
"orientations = pd.DataFrame(orientations.drop(columns='geometry'))"
]
},
{
"cell_type": "markdown",
"id": "e986859d",
"metadata": {},
"source": [
"## Inspecting DataFrames"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "952a6bf2",
"metadata": {},
"outputs": [
{
"data": {
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