FIX: Replace np.product with np.prod

Author: effigies

nitime/algorithms/spectral.py

@@ -523,7 +523,7 @@ def multi_taper_psd(
     """
     # have last axis be time series for now
     N = s.shape[-1]
-    M = int(np.product(s.shape[:-1]))
+    M = int(np.prod(s.shape[:-1]))
 
     if BW is not None:
         # BW wins in a contest (since it was the original implementation)
@@ -663,7 +663,7 @@ def multi_taper_csd(s, Fs=2 * np.pi, NW=None, BW=None, low_bias=True,
     """
     # have last axis be time series for now
     N = s.shape[-1]
-    M = int(np.product(s.shape[:-1]))
+    M = int(np.prod(s.shape[:-1]))
 
     if BW is not None:
         # BW wins in a contest (since it was the original implementation)

nitime/utils.py

@@ -730,9 +730,8 @@ def tapered_spectra(s, tapers, NFFT=None, low_bias=True):
     if NFFT is None or NFFT < N:
         NFFT = N
     rest_of_dims = s.shape[:-1]
-    M = int(np.product(rest_of_dims))
 
-    s = s.reshape(int(np.product(rest_of_dims)), N)
+    s = s.reshape(-1, N)
     # de-mean this sucker
     s = remove_bias(s, axis=-1)
 
@@ -1193,7 +1192,7 @@ def fftconvolve(in1, in2, mode="full", axis=None):
     if mode == "full":
         return ret
     elif mode == "same":
-        if np.product(s1, axis=0) > np.product(s2, axis=0):
+        if np.prod(s1, axis=0) > np.prod(s2, axis=0):
             osize = s1
         else:
             osize = s2