Fix numpy depreciated np.product and OverflowError error on uint8 mask (

fix #5)

pyvims/interp.py

@@ -204,7 +204,12 @@ def cube_interp(xy, data, res, contour=False, method='cubic'):
         m = mask(grid, contour)
 
         if np.ndim(data) == 3:
-            z = np.moveaxis([z[:, :, 0], z[:, :, 1], z[:, :, 2], 255 * np.int8(~m)], 0, 2)
+            z = np.moveaxis([
+                z[:, :, 0],
+                z[:, :, 1],
+                z[:, :, 2],
+                255 * np.uint8(~m),
+            ], 0, 2)
         else:
             z = np.ma.array(z, mask=m)
 
@@ -264,7 +269,7 @@ def cube_interp_filled(xy, data, res, contour, method='cubic'):
 
     if np.ndim(data) == 3:
         # Add alpha channel outside the contour
-        z = rgba(z[:, :, 0], z[:, :, 1], z[:, :, 2], np.int8(~m))
+        z = rgba(z[:, :, 0], z[:, :, 1], z[:, :, 2], np.uint8(~m))
     else:
         # Mask the data outside the contour
         z = np.ma.array(z, mask=m)

pyvims/projections/equirectangular.py

@@ -147,7 +147,7 @@ def equi_interp(xy, data, res, contour, sc, r, npix=1440, method='cubic'):
             gz_interp[:, :, 0],
             gz_interp[:, :, 1],
             gz_interp[:, :, 2],
-            255 * np.int8(~m)
+            255 * np.uint8(~m),
         ], 0, 2)
     else:
         z_mask = np.ma.array(gz_interp, mask=m)

pyvims/projections/sky_old.py

@@ -106,7 +106,7 @@ def sky_pixels(radec, m_sky):
 
     """
     s = np.shape(radec)
-    npix = int(np.product(s) / 2)
+    npix = int(np.prod(s) / 2)
     pix = xy(*np.reshape(radec, (2, npix)), m_sky)
     return np.reshape(pix, s)
 
@@ -147,7 +147,7 @@ def sky_grid(grid, m_sky):
 
     """
     s = np.shape(grid)
-    npix = int(np.product(s) / 2)
+    npix = int(np.prod(s) / 2)
     x, y = np.reshape(grid, (2, npix))
     return radec(x, y, m_sky).reshape(s)
 

pyvims/vims.py

@@ -297,10 +297,10 @@ def _flat(self, array):
         Returns
         -------
         np.array
-            Flattenned array.
+            Flattened array.
 
         """
-        ndim = int(np.product(np.shape(array)) / self.NP)
+        ndim = int(np.prod(np.shape(array)) / self.NP)
         return np.reshape(array, (ndim, self.NP))
 
     def _grid(self, array):
@@ -317,7 +317,7 @@ def _grid(self, array):
             Gridded array.
 
         """
-        ndim = int(np.product(np.shape(array)) / self.NP)
+        ndim = int(np.prod(np.shape(array)) / self.NP)
         return np.reshape(array, (ndim, self.NL, self.NS))
 
     @staticmethod