array_like --> numpy.ndarray

galpy/actionAngle/actionAngleHarmonicInverse.py

@@ -79,8 +79,8 @@ def _xvFreqs(self, j, angle, **kwargs):
         -------
         tuple
             Tuple containing:
-                - x (array_like): x-coordinate.
-                - vx (array_like): Velocity in x-direction.
+                - x (numpy.ndarray): x-coordinate.
+                - vx (numpy.ndarray): Velocity in x-direction.
                 - Omega (float): Frequency.
 
         Notes

galpy/actionAngle/actionAngleStaeckel.py

@@ -1493,9 +1493,9 @@ def estimateDeltaStaeckel(pot, R, z, no_median=False, delta0=1e-6):
     Parameters
     ----------
     pot : Potential instance or list thereof
-    R : float or array_like
+    R : float or numpy.ndarray
         coordinates
-    z : float or array_like
+    z : float or numpy.ndarray
         coordinates
     no_median : bool, optional
         if True, and input is array, return all calculated values of delta (useful for quickly estimating delta for many phase space points)

galpy/actionAngle/actionAngleStaeckel_c.py

@@ -152,13 +152,13 @@ def actionAngleStaeckel_calcu0(E, Lz, pot, delta):
 
     Parameters
     ----------
-    E : array_like
+    E : numpy.ndarray
         Energy.
-    Lz : array_like
+    Lz : numpy.ndarray
         Angular momentum.
     pot : Potential or list of such instances
         Potential or list of such instances.
-    delta : array_like
+    delta : numpy.ndarray
         Focal length of prolate spheroidal coordinates.
 
     Returns

galpy/actionAngle/actionAngleVerticalInverse.py

@@ -1031,7 +1031,7 @@ def _evaluate(self, j, angle, **kwargs):
         ----------
         j : float
             Action
-        angle : array_like
+        angle : numpy.ndarray
             Angle
         Returns
         -------
@@ -1053,7 +1053,7 @@ def _xvFreqs(self, j, angle, **kwargs):
         ----------
         j : float
             Action.
-        angle : array_like
+        angle : numpy.ndarray
             Angle.
 
         Returns
@@ -1223,17 +1223,17 @@ def _anglea(xa, E, pot, omega, ptcoeffs, ptderivcoeffs, xmax, ptxmax, vsign=1.0)
 
     Parameters
     ----------
-    xa : array_like
+    xa : numpy.ndarray
         Position.
     E : float
         Energy.
     pot : Potential object
         The potential.
-    omega : array_like
+    omega : numpy.ndarray
         Harmonic-oscillator frequencies.
-    ptcoeffs : array_like
+    ptcoeffs : numpy.ndarray
         Coefficients of the polynomial point transformation.
-    ptderivcoeffs : array_like
+    ptderivcoeffs : numpy.ndarray
         Coefficients of the derivative of the polynomial point transformation.
     xmax : float
         Xmax of the true torus.
@@ -1283,19 +1283,19 @@ def _danglea(
 
     Parameters
     ----------
-    xa : array_like
+    xa : numpy.ndarray
         Position.
     E : float
         Energy.
     pot : Potential object
         The potential.
-    omega : array_like
+    omega : numpy.ndarray
         Harmonic-oscillator frequencies.
-    ptcoeffs : array_like
+    ptcoeffs : numpy.ndarray
         Coefficients of the polynomial point transformation.
-    ptderivcoeffs : array_like
+    ptderivcoeffs : numpy.ndarray
         Coefficients of the derivative of the polynomial point transformation.
-    ptderiv2coeffs : array_like
+    ptderiv2coeffs : numpy.ndarray
         Coefficients of the second derivative of the polynomial point transformation.
     xmax : float
         Xmax of the true torus.
@@ -1348,17 +1348,17 @@ def _ja(xa, E, pot, omega, ptcoeffs, ptderivcoeffs, xmax, ptxmax):
 
     Parameters
     ----------
-    xa : array_like
+    xa : numpy.ndarray
         position
-    E : array_like
+    E : numpy.ndarray
         Energy
     pot : Potential object
         the potential
-    omega : array_like
+    omega : numpy.ndarray
         harmonic-oscillator frequencies
-    ptcoeffs : array_like
+    ptcoeffs : numpy.ndarray
         coefficients of the polynomial point transformation
-    ptderivcoeffs : array_like
+    ptderivcoeffs : numpy.ndarray
         coefficients of the derivative of the polynomial point transformation
     xmax : float
         xmax of the true torus

galpy/df/sphericaldf.py

@@ -167,7 +167,7 @@ def dMdE(self, E):
 
         Parameters
         ----------
-        E : float or array_like
+        E : float or numpy.ndarray
             Energy; can be a Quantity
 
         Returns
@@ -325,11 +325,11 @@ def sample(self, R=None, z=None, phi=None, n=1, return_orbit=True, rmin=0.0):
 
         Parameters
         ----------
-        R : float, array_like, Quantity, or None, optional
+        R : float, numpy.ndarray, Quantity, or None, optional
             If set, sample velocities at this radius. If array, sample velocities at these radii, ignoring n.
-        z : float, array_like, Quantity, or None, optional
+        z : float, numpy.ndarray, Quantity, or None, optional
             If set, sample velocities at this height. If array, sample velocities at these heights, ignoring n.
-        phi : float, array_like, Quantity, or None, optional
+        phi : float, numpy.ndarray, Quantity, or None, optional
             If set, sample velocities at this azimuth. If array, sample velocities at these azimuths, ignoring n.
         n : int, optional
             Number of samples to generate. Default is 1.

galpy/df/streamdf.py

@@ -137,7 +137,7 @@ def __init__(
             Galactocentric radius of the Sun (kpc) (can be different from ro) (default: 8.0).
         Zsun : float or Quantity, optional
             Sun's height above the plane (kpc) (default: 0.0208).
-        vsun : array_like or Quantity, optional
+        vsun : numpy.ndarray or Quantity, optional
             Sun's motion in cylindrical coordinates (vR positive away from center) (can be Quantity array, but not a list of Quantities) (default: [-11.1, 8.0 * 30.24, 7.25]).
         multi : int, optional
             If set, use multi-processing (default: None).
@@ -153,7 +153,7 @@ def __init__(
             If True, approximate the stream assuming that the frequency is constant along the stream (only works with useTM, for which this leads to a significant speed-up) (default: False).
         useTMHessian : bool, optional
             If True, compute the basic Hessian dO/dJ_prog using TM; otherwise use aA (default: False).
-        custom_transform : array_like, optional
+        custom_transform : numpy.ndarray, optional
             Matrix implementing the rotation from (ra,dec) to a custom set of sky coordinates (default: None).
 
         Notes
@@ -3134,7 +3134,7 @@ def callMarg(self, xy, **kwargs):
 
         Parameters
         ----------
-        xy : array_like
+        xy : numpy.ndarray
             Phase-space point [X,Y,Z,vX,vY,vZ]; the distribution of the dimensions set to None is returned.
         interp : bool, optional
             If True, use the interpolated stream track. Default is True.
@@ -3316,7 +3316,7 @@ def gaussApprox(self, xy, **kwargs):
 
         Parameters
         ----------
-        xy : array_like
+        xy : numpy.ndarray
             Phase-space point [X,Y,Z,vX,vY,vZ]; the distribution of the dimensions set to None is returned.
         interp : bool, optional
             If True, use the interpolated stream track. Default is True.

galpy/df/streamgapdf.py

@@ -82,7 +82,7 @@ def __init__(self, *args, **kwargs):
             Galactocentric radius of the Sun (kpc) (can be different from ro) (default: 8.0).
         Zsun : float or Quantity, optional
             Sun's height above the plane (kpc) (default: 0.0208).
-        vsun : array_like or Quantity, optional
+        vsun : numpy.ndarray or Quantity, optional
             Sun's motion in cylindrical coordinates (vR positive away from center) (can be Quantity array, but not a list of Quantities) (default: [-11.1, 8.0 * 30.24, 7.25]).
         multi : int, optional
             If set, use multi-processing (default: None).
@@ -98,7 +98,7 @@ def __init__(self, *args, **kwargs):
             If True, approximate the stream assuming that the frequency is constant along the stream (only works with useTM, for which this leads to a significant speed-up) (default: False).
         useTMHessian : bool, optional
             If True, compute the basic Hessian dO/dJ_prog using TM; otherwise use aA (default: False).
-        custom_transform : array_like, optional
+        custom_transform : numpy.ndarray, optional
             Matrix implementing the rotation from (ra,dec) to a custom set of sky coordinates (default: None).
         impactb : float or Quantity, optional
             Impact parameter (can be Quantity) (default: 1.0).