move vector_2_abscissa to utils

macrodensity/density.py

@@ -41,39 +41,6 @@ def gradient_magnitude(gx: np.ndarray, gy: np.ndarray, gz: np.ndarray) -> np.nda
     return grad_mag
 
 
-def vector_2_abscissa(vector:list, magnitude: float, dx: float, dy: float, dz: float) -> np.ndarray:
-    """
-    Convert a 3D vector to an array of abscissa values.
-
-    Parameters:
-        vector (list): 3D vector represented as (x, y, z).
-
-        magnitude (float): Magnitude of the vector.
-
-        dx (float): Spacing along the x-axis.
-
-        dy (float): Spacing along the y-axis.
-
-        dz (float): Spacing along the z-axis.
-
-    Returns:
-        np.ndarray: 1D array containing abscissa values based on the vector and spacing.
-
-    Example:
-        >>> vector = (1, 2, 3)
-        >>> magnitude = 5.0
-        >>> dx, dy, dz = 0.1, 0.2, 0.3
-        >>> abscissa_array = vector_2_abscissa(vector, magnitude, dx, dy, dz)
-        >>> print("Abscissa Array:")
-        >>> print(abscissa_array)
-        
-    """
-    vec_mag = np.linalg.norm([vector[0] * dx, vector[1] * dy, vector[2] * dz])
-    abscissa = [i * vec_mag for i in range(magnitude)]
-
-    return np.asarray(abscissa)
-
-
 def number_in_field(gradients: np.ndarray, cutoff: float) -> int:
     """
     Count the number of elements in a field that have a value greater than or equal to the cutoff.

macrodensity/tools.py

@@ -16,10 +16,9 @@
     density_2_grid,
     volume_average,
     travelling_volume_average,
-    vector_2_abscissa,
 )
 from macrodensity.io import read_vasp_density, get_band_extrema
-from macrodensity.utils import matrix_2_abc
+from macrodensity.utils import matrix_2_abc, vector_2_abscissa
 
 
 def bulk_interstitial_alignment(