remove reimplemented func

src/mpol/onedim.py

@@ -157,78 +157,4 @@ def radialV(V, coords, geom, rescale_flux, bins=None):
 
     bin_centers = (bin_edges[:-1] + bin_edges[1:]) / 2
 
-    return bin_centers, Vs
-
-
-def get_1d_image_profile(image, coords, geom, bins=None, rescale_flux=True): 
-    r"""
-    Obtain a 1D (radial) brightness profile I(r) from an image.
-
-    Parameters
-    ----------
-    image : array
-        2D image array 
-    coords : `mpol.coordinates.GridCoords` object
-        Instance of the `mpol.coordinates.GridCoords` class
-    geom : dict 
-        Dictionary of source geometry. Keys:
-            "incl" : float, unit=[deg]
-                Inclination 
-            "Omega" : float, unit=[deg]
-                Position angle of the ascending node 
-            "omega" : float, unit=[deg]
-                Argument of periastron
-            "dRA" : float, unit=[arcsec]
-                Phase center offset in right ascension. Positive is west of north.
-            "dDec" : float, unit=[arcsec]
-                Phase center offset in declination.
-    rescale_flux : bool, default=True 
-        If True, the brightness values are rescaled to account for the 
-        difference between the inclined (observed) brightness and the 
-        assumed face-on brightness, assuming the emission is optically thick. 
-        The source's integrated (2D) flux is assumed to be:
-            :math:`F = \cos(i) \int_r^{r=R}{I(r) 2 \pi r dr}`.
-        No rescaling would be appropriate in the optically thin limit. 
-    bins : array, default=None, unit=[arcsec]
-        Radial bin edges to use in calculating I(r). If None, bins will span 
-        the full image, with widths equal to the hypotenuse of the pixels
-
-    Returns
-    -------
-    bin_centers : array, unit=[arcsec]
-        Radial coordinates of image at center of `bins`
-    Is : array, unit=[Jy / arcsec^2] (if `image` has these units)
-        Azimuthally averaged pixel brightness at `rs`
-    """
-
-    # Cartesian pixel coordinates [arcsec]
-    xx, yy = coords.sky_x_centers_2D, coords.sky_y_centers_2D
-    # shift image center
-    xshift, yshift = xx - geom["dRA"], yy - geom["dDec"]
-
-    # deproject and rotate image 
-    xdep, ydep = observer_to_flat(xshift, yshift,
-        omega=geom["omega"] * np.pi / 180, 
-        incl=geom["incl"] * np.pi / 180,
-        Omega=geom["Omega"] * np.pi / 180,
-        )
-
-    # radial pixel coordinates
-    rr = np.ravel(np.hypot(xdep, ydep))
-
-    if bins is None:
-        step = np.hypot(coords.cell_size, coords.cell_size)
-        bins = np.arange(0.0, max(rr), step)
-
-    # number of points in radial bins
-    bin_counts, bin_edges = np.histogram(a=rr, bins=bins, weights=None)
-    # brightness in radial bins
-    Is, _ = np.histogram(a=rr, bins=bins, weights=np.ravel(image))
-    Is /= bin_counts
-
-    if rescale_flux: # TODO
-        Is *= np.cos(geom["incl"] * np.pi / 180)
-
-    bin_centers = (bin_edges[:-1] + bin_edges[1:]) / 2
-
-    return bin_centers, Is
+    return bin_centers, Vs