[CLN] Refactor grids into its own modules

gempy/core/data/grid_modules/__init__.py

@@ -1,2 +1,4 @@
-from .grid_types import Sections, RegularGrid, CustomGrid
+from .regular_grid import RegularGrid
+from .custom_grid import CustomGrid
+from .sections_grid import Sections
 from .topography import Topography

gempy/core/data/grid_modules/custom_grid.py

@@ -0,0 +1,33 @@
+import dataclasses
+import numpy as np
+from pydantic import Field
+
+
+@dataclasses.dataclass
+class CustomGrid:
+    """Object that contains arbitrary XYZ coordinates.
+
+    Args:
+        xyx_coords (numpy.ndarray like): XYZ (in columns) of the desired coordinates
+
+    Attributes:
+        values (np.ndarray): XYZ coordinates
+    """
+
+    values: np.ndarray = Field(
+        exclude=True, 
+        default_factory=lambda: np.zeros((0, 3)),
+        repr=False
+    )
+
+
+    def __post_init__(self):
+        custom_grid = np.atleast_2d(self.values)
+        assert type(custom_grid) is np.ndarray and custom_grid.shape[1] == 3, \
+            'The shape of new grid must be (n,3)  where n is the number of' \
+            ' points of the grid'
+
+
+    @property
+    def length(self):
+        return self.values.shape[0]

gempy/core/data/grid_modules/grid_types.py → gempy/core/data/grid_modules/regular_grid.py

@@ -5,11 +5,9 @@
 
 import numpy as np
 
-from ..core_utils import calculate_line_coordinates_2points
 from ..encoders.converters import numpy_array_short_validator
 from .... import optional_dependencies
-from ....optional_dependencies import require_pandas
-from gempy_engine.core.data.transforms import Transform, TransformOpsOrder
+from gempy_engine.core.data.transforms import Transform
 
 
 @dataclasses.dataclass
@@ -255,141 +253,3 @@ def plot_rotation(regular_grid, pivot, point_x_axis, point_y_axis):
         plt.show()
 
 
-@dataclasses.dataclass
-class Sections:
-    """
-    Object that creates a grid of cross sections between two points.
-
-    Args:
-        regular_grid: Model.grid.regular_grid
-        section_dict: {'section name': ([p1_x, p1_y], [p2_x, p2_y], [xyres, zres])}
-    """
-
-    def __init__(self, regular_grid=None, z_ext=None, section_dict=None):
-        pd = require_pandas()
-        if regular_grid is not None:
-            self.z_ext = regular_grid.extent[4:]
-        else:
-            self.z_ext = z_ext
-
-        self.section_dict = section_dict
-        self.names = []
-        self.points = []
-        self.resolution = []
-        self.length = [0]
-        self.dist = []
-        self.df = pd.DataFrame()
-        self.df['dist'] = self.dist
-        self.values = np.empty((0, 3))
-        self.extent = None
-
-        if section_dict is not None:
-            self.set_sections(section_dict)
-
-    def _repr_html_(self):
-        return self.df.to_html()
-
-    def __repr__(self):
-        return self.df.to_string()
-
-    def show(self):
-        pass
-
-    def set_sections(self, section_dict, regular_grid=None, z_ext=None):
-        pd = require_pandas()
-        self.section_dict = section_dict
-        if regular_grid is not None:
-            self.z_ext = regular_grid.extent[4:]
-
-        self.names = np.array(list(self.section_dict.keys()))
-
-        self.get_section_params()
-        self.calculate_all_distances()
-        self.df = pd.DataFrame.from_dict(self.section_dict, orient='index', columns=['start', 'stop', 'resolution'])
-        self.df['dist'] = self.dist
-
-        self.compute_section_coordinates()
-
-    def get_section_params(self):
-        self.points = []
-        self.resolution = []
-        self.length = [0]
-
-        for i, section in enumerate(self.names):
-            points = [self.section_dict[section][0], self.section_dict[section][1]]
-            assert points[0] != points[
-                1], 'The start and end points of the section must not be identical.'
-
-            self.points.append(points)
-            self.resolution.append(self.section_dict[section][2])
-            self.length = np.append(self.length, self.section_dict[section][2][0] *
-                                    self.section_dict[section][2][1])
-        self.length = np.array(self.length).cumsum()
-
-    def calculate_all_distances(self):
-        self.coordinates = np.array(self.points).ravel().reshape(-1,
-                                                                 4)  # axis are x1,y1,x2,y2
-        self.dist = np.sqrt(np.diff(self.coordinates[:, [0, 2]]) ** 2 + np.diff(
-            self.coordinates[:, [1, 3]]) ** 2)
-
-    def compute_section_coordinates(self):
-        for i in range(len(self.names)):
-            xy = calculate_line_coordinates_2points(self.coordinates[i, :2],
-                                                    self.coordinates[i, 2:],
-                                                    self.resolution[i][0])
-            zaxis = np.linspace(self.z_ext[0], self.z_ext[1], self.resolution[i][1],
-                                dtype="float64")
-            X, Z = np.meshgrid(xy[:, 0], zaxis, indexing='ij')
-            Y, _ = np.meshgrid(xy[:, 1], zaxis, indexing='ij')
-            xyz = np.vstack((X.flatten(), Y.flatten(), Z.flatten())).T
-            if i == 0:
-                self.values = xyz
-            else:
-                self.values = np.vstack((self.values, xyz))
-
-    def generate_axis_coord(self):
-        for i, name in enumerate(self.names):
-            xy = calculate_line_coordinates_2points(
-                self.coordinates[i, :2],
-                self.coordinates[i, 2:],
-                self.resolution[i][0]
-            )
-            yield name, xy
-
-    def get_section_args(self, section_name: str):
-        where = np.where(self.names == section_name)[0][0]
-        return self.length[where], self.length[where + 1]
-
-    def get_section_grid(self, section_name: str):
-        l0, l1 = self.get_section_args(section_name)
-        return self.values[l0:l1]
-
-
-@dataclasses.dataclass
-class CustomGrid:
-    """Object that contains arbitrary XYZ coordinates.
-
-    Args:
-        xyx_coords (numpy.ndarray like): XYZ (in columns) of the desired coordinates
-
-    Attributes:
-        values (np.ndarray): XYZ coordinates
-    """
-
-    values: np.ndarray = Field(
-        exclude=True, 
-        default_factory=lambda: np.zeros((0, 3)),
-        repr=False
-    )
-
-
-    def __post_init__(self):
-        custom_grid = np.atleast_2d(self.values)
-        assert type(custom_grid) is np.ndarray and custom_grid.shape[1] == 3, \
-            'The shape of new grid must be (n,3)  where n is the number of' \
-            ' points of the grid'
-
-
-    @property
-    def length(self):
-        return self.values.shape[0]

gempy/core/data/grid_modules/sections_grid.py

@@ -0,0 +1,115 @@
+import dataclasses
+import numpy as np
+
+from gempy.core.data.core_utils import calculate_line_coordinates_2points
+from gempy.optional_dependencies import require_pandas
+
+
+@dataclasses.dataclass
+class Sections:
+    """
+    Object that creates a grid of cross sections between two points.
+
+    Args:
+        regular_grid: Model.grid.regular_grid
+        section_dict: {'section name': ([p1_x, p1_y], [p2_x, p2_y], [xyres, zres])}
+    """
+
+    def __init__(self, regular_grid=None, z_ext=None, section_dict=None):
+        pd = require_pandas()
+        if regular_grid is not None:
+            self.z_ext = regular_grid.extent[4:]
+        else:
+            self.z_ext = z_ext
+
+        self.section_dict = section_dict
+        self.names = []
+        self.points = []
+        self.resolution = []
+        self.length = [0]
+        self.dist = []
+        self.df = pd.DataFrame()
+        self.df['dist'] = self.dist
+        self.values = np.empty((0, 3))
+        self.extent = None
+
+        if section_dict is not None:
+            self.set_sections(section_dict)
+
+    def _repr_html_(self):
+        return self.df.to_html()
+
+    def __repr__(self):
+        return self.df.to_string()
+
+    def show(self):
+        pass
+
+    def set_sections(self, section_dict, regular_grid=None, z_ext=None):
+        pd = require_pandas()
+        self.section_dict = section_dict
+        if regular_grid is not None:
+            self.z_ext = regular_grid.extent[4:]
+
+        self.names = np.array(list(self.section_dict.keys()))
+
+        self.get_section_params()
+        self.calculate_all_distances()
+        self.df = pd.DataFrame.from_dict(self.section_dict, orient='index', columns=['start', 'stop', 'resolution'])
+        self.df['dist'] = self.dist
+
+        self.compute_section_coordinates()
+
+    def get_section_params(self):
+        self.points = []
+        self.resolution = []
+        self.length = [0]
+
+        for i, section in enumerate(self.names):
+            points = [self.section_dict[section][0], self.section_dict[section][1]]
+            assert points[0] != points[
+                1], 'The start and end points of the section must not be identical.'
+
+            self.points.append(points)
+            self.resolution.append(self.section_dict[section][2])
+            self.length = np.append(self.length, self.section_dict[section][2][0] *
+                                    self.section_dict[section][2][1])
+        self.length = np.array(self.length).cumsum()
+
+    def calculate_all_distances(self):
+        self.coordinates = np.array(self.points).ravel().reshape(-1,
+                                                                 4)  # axis are x1,y1,x2,y2
+        self.dist = np.sqrt(np.diff(self.coordinates[:, [0, 2]]) ** 2 + np.diff(
+            self.coordinates[:, [1, 3]]) ** 2)
+
+    def compute_section_coordinates(self):
+        for i in range(len(self.names)):
+            xy = calculate_line_coordinates_2points(self.coordinates[i, :2],
+                                                    self.coordinates[i, 2:],
+                                                    self.resolution[i][0])
+            zaxis = np.linspace(self.z_ext[0], self.z_ext[1], self.resolution[i][1],
+                                dtype="float64")
+            X, Z = np.meshgrid(xy[:, 0], zaxis, indexing='ij')
+            Y, _ = np.meshgrid(xy[:, 1], zaxis, indexing='ij')
+            xyz = np.vstack((X.flatten(), Y.flatten(), Z.flatten())).T
+            if i == 0:
+                self.values = xyz
+            else:
+                self.values = np.vstack((self.values, xyz))
+
+    def generate_axis_coord(self):
+        for i, name in enumerate(self.names):
+            xy = calculate_line_coordinates_2points(
+                self.coordinates[i, :2],
+                self.coordinates[i, 2:],
+                self.resolution[i][0]
+            )
+            yield name, xy
+
+    def get_section_args(self, section_name: str):
+        where = np.where(self.names == section_name)[0][0]
+        return self.length[where], self.length[where + 1]
+
+    def get_section_grid(self, section_name: str):
+        l0, l1 = self.get_section_args(section_name)
+        return self.values[l0:l1]

gempy/core/data/grid_modules/topography.py

@@ -6,7 +6,7 @@
 
 import numpy as np
 
-from .grid_types import RegularGrid
+from .regular_grid import RegularGrid
 from ....modules.grids.create_topography import _LoadDEMArtificial
 
 from ....optional_dependencies import require_skimage