fixed bugs in hann taper error with new scipy

changes.txt

@@ -3,6 +3,17 @@ UTILS:
 1. Replace obspy.core.util.base._get_function_from_entry_point for 
   taper hann window with scipy.signal.windows.hann for compatibility with new scipy. 
 
+DOWNLOADERS:
+1. Added more verbose prints in getdata().
+2. Use utils.taper() for tapering the raw data, instead of obspy's taper function,
+  which has version errors in scipy hann window.
+
+NOISE:
+1. Fixed minor bugs in int and float, which are now excluded from numpy.
+
+NOTEBOOKS:
+1. Updated the seisgo_download_xcorr_demo with the latest version of seisgo.
+
 =============================================================
 Updates in v0.8.1
 TYPES:

seisgo/downloaders.py

@@ -278,10 +278,15 @@ def getdata(net,sta,starttime,endtime,chan,source='IRIS',samp_freq=None,
                 except Exception as e:
                     print(e)
                     r = []
+    if verbose:print('cleaning with demean, detrend, and taper')
     for r in tr:
+        if verbose:print('    --> demean')
         r.detrend('demean')
+        if verbose:print('    --> detrend')
         r.detrend('linear')
-        r.taper(0.005)
+        if verbose:print('    --> taper')
+        r.data = utils.taper(r.data, fraction=0.005)
+        # r.taper(0.005)
 
     if len(tr.get_gaps())>0:
         if verbose:print('merging segments with gaps')

seisgo/noise.py

@@ -356,8 +356,8 @@ def correlate(fftdata1,fftdata2,maxlag,method='xcorr',substack=False,
             nstack = int(np.round(Ttotal/substack_len))
             ampmax = np.zeros(nstack,dtype=np.float32)
             s_corr = np.zeros(shape=(nstack,Nfft),dtype=np.float32)
-            n_corr = np.zeros(nstack,dtype=np.int)
-            t_corr = np.zeros(nstack,dtype=np.float)
+            n_corr = np.zeros(nstack,dtype=int)
+            t_corr = np.zeros(nstack,dtype=float)
             crap   = np.zeros(Nfft,dtype=np.complex64)
 
             for istack in range(nstack):