removed plotmat.py, modified plotfb.py to build filterbank on the fly, moved to pytho...

diff --git a/examples/plotfb.py b/examples/plotfb.py
deleted file mode 100755 (executable)
index 4592c13..0000000
--- a/examples/plotfb.py
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/usr/bin/env python
-
-import pylab
-import numpy
-import sys
-
-
-filename=sys.argv[1]
-
-doLog=False
-if len(sys.argv)>2: 
-  if sys.argv[2]=='log':
-    doLog=True
-
-mat = pylab.load(filename)
-nmat= numpy.array(mat)
-print numpy.shape(nmat)
-
-pylab.hold(True)
-
-n_filters=numpy.shape(nmat)[0]
-for i in range(n_filters):
-  if doLog==True:
-    pylab.semilogx(nmat[i,:])
-  else:
-    pylab.plot(nmat[i,:]) 
-
-
-pylab.hold(False)
-pylab.show()
\ No newline at end of file

diff --git a/examples/plotmat.py b/examples/plotmat.py
deleted file mode 100755 (executable)
index f88f5e8..0000000
--- a/examples/plotmat.py
+++ /dev/null
@@ -1,18 +0,0 @@
-#!/usr/bin/env python
-
-import pylab
-import numpy
-import sys
-
-filename=sys.argv[1]
-
-mat=pylab.load(filename)
-nmat=numpy.array(mat).T
-print numpy.shape(nmat)
-
-
-pylab.matshow(nmat, cmap=pylab.cm.gray, aspect='auto')
-#pylab.imshow(nmat, cmap=pylab.cm.gray, aspect='auto', interpolation=False)
-#pylab.contour(nmat, cmap=pylab.cm.gray, aspect='auto')
-
-pylab.show()
\ No newline at end of file

diff --git a/python/test/plot_mfcc_filterbank.py b/python/test/plot_mfcc_filterbank.py
new file mode 100755 (executable)
index 0000000..fb527f0
--- /dev/null
+++ b/python/test/plot_mfcc_filterbank.py
@@ -0,0 +1,43 @@
+#!/usr/bin/env python
+
+import pylab
+import numpy
+import sys
+
+from aubio.aubiowrapper import * 
+
+win_size = 2048 
+channels = 1
+n_filters = 40
+samplerate = 44100
+
+filterbank = new_aubio_filterbank_mfcc(n_filters, win_size, samplerate, 
+        0., samplerate) 
+
+
+mfcc_filters = []
+for channel in range(n_filters):
+  vec = aubio_filterbank_getchannel(filterbank,channel)
+  mfcc_filters.append([])
+  for index in range(win_size): 
+    mfcc_filters[channel].append(fvec_read_sample(vec,0,index))
+
+doLog=False
+if len(sys.argv)>1: 
+  if sys.argv[1]=='log':
+    doLog=True
+
+nmat= numpy.array(mfcc_filters)
+
+pylab.hold(True)
+
+n_filters=numpy.shape(nmat)[0]
+for i in range(n_filters):
+  if doLog==True:
+    pylab.semilogx(nmat[i,:])
+  else:
+    pylab.plot(nmat[i,:]) 
+
+pylab.hold(False)
+#pylab.savefig('test.png')
+pylab.show()