diff options
| author | Douglas Anderson <danderson@ntia.doc.gov> | 2017-02-12 15:52:19 -0800 |
|---|---|---|
| committer | Johnathan Corgan <johnathan@corganlabs.com> | 2017-02-26 18:21:22 -0800 |
| commit | 9e625c4821f4c63421b3d3747c0c4f358fef6c5f (patch) | |
| tree | 41dedbe053417be7314cdce15d64fbbb89db4d8d /gr-filter/examples/interpolate.py | |
| parent | e5aabcc6a4a9335f3ef8abf5f89104b626e9364d (diff) | |
python3: update non-GRC components to use python2 or python3
Diffstat (limited to 'gr-filter/examples/interpolate.py')
| -rw-r--r--[-rwxr-xr-x] | gr-filter/examples/interpolate.py | 31 |
1 files changed, 17 insertions, 14 deletions
diff --git a/gr-filter/examples/interpolate.py b/gr-filter/examples/interpolate.py index 40bab7b1f1..1f1357211b 100755..100644 --- a/gr-filter/examples/interpolate.py +++ b/gr-filter/examples/interpolate.py @@ -20,6 +20,9 @@ # Boston, MA 02110-1301, USA. # +from __future__ import print_function +from __future__ import division +from __future__ import unicode_literals from gnuradio import gr from gnuradio import blocks from gnuradio import filter @@ -79,10 +82,10 @@ class pfb_top_block(gr.top_block): window=filter.firdes.WIN_BLACKMAN_hARRIS) # Calculate the number of taps per channel for our own information - tpc = scipy.ceil(float(len(self._taps)) / float(self._interp)) - print "Number of taps: ", len(self._taps) - print "Number of filters: ", self._interp - print "Taps per channel: ", tpc + tpc = scipy.ceil(float(len(self._taps)) / float(self._interp)) + print("Number of taps: ", len(self._taps)) + print("Number of filters: ", self._interp) + print("Taps per channel: ", tpc) # Create a couple of signals at different frequencies self.signal1 = analog.sig_source_c(self._fs, analog.GR_SIN_WAVE, freq1, 0.5) @@ -121,7 +124,7 @@ def main(): tstart = time.time() tb.run() tend = time.time() - print "Run time: %f" % (tend - tstart) + print("Run time: %f" % (tend - tstart)) if 1: @@ -141,11 +144,11 @@ def main(): d = tb.snk_i.data()[Ns:Ns+Ne] sp1_f = fig1.add_subplot(2, 1, 1) - X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs, + X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen / 4, Fs=fs, window = lambda d: d*winfunc(fftlen), scale_by_freq=True) X_in = 10.0*scipy.log10(abs(fftpack.fftshift(X))) - f_in = scipy.arange(-fs/2.0, fs/2.0, fs/float(X_in.size)) + f_in = scipy.arange(-fs / 2.0, fs / 2.0, fs / float(X_in.size)) p1_f = sp1_f.plot(f_in, X_in, "b") sp1_f.set_xlim([min(f_in), max(f_in)+1]) sp1_f.set_ylim([-200.0, 50.0]) @@ -155,7 +158,7 @@ def main(): sp1_f.set_xlabel("Frequency (Hz)") sp1_f.set_ylabel("Power (dBW)") - Ts = 1.0/fs + Ts = 1.0 / fs Tmax = len(d)*Ts t_in = scipy.arange(0, Tmax, Ts) @@ -175,11 +178,11 @@ def main(): sp2_f = fig2.add_subplot(2, 1, 1) d = tb.snk1.data()[Ns:Ns+(tb._interp*Ne)] - X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs, + X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen / 4, Fs=fs, window = lambda d: d*winfunc(fftlen), scale_by_freq=True) X_o = 10.0*scipy.log10(abs(fftpack.fftshift(X))) - f_o = scipy.arange(-fs_int/2.0, fs_int/2.0, fs_int/float(X_o.size)) + f_o = scipy.arange(-fs_int / 2.0, fs_int / 2.0, fs_int / float(X_o.size)) p2_f = sp2_f.plot(f_o, X_o, "b") sp2_f.set_xlim([min(f_o), max(f_o)+1]) sp2_f.set_ylim([-200.0, 50.0]) @@ -188,7 +191,7 @@ def main(): sp2_f.set_xlabel("Frequency (Hz)") sp2_f.set_ylabel("Power (dBW)") - Ts_int = 1.0/fs_int + Ts_int = 1.0 / fs_int Tmax = len(d)*Ts_int t_o = scipy.arange(0, Tmax, Ts_int) @@ -208,11 +211,11 @@ def main(): sp3_f = fig3.add_subplot(2, 1, 1) d = tb.snk2.data()[Ns:Ns+(tb._interp*Ne)] - X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen/4, Fs=fs, + X,freq = mlab.psd(d, NFFT=fftlen, noverlap=fftlen / 4, Fs=fs, window = lambda d: d*winfunc(fftlen), scale_by_freq=True) X_o = 10.0*scipy.log10(abs(fftpack.fftshift(X))) - f_o = scipy.arange(-fs_aint/2.0, fs_aint/2.0, fs_aint/float(X_o.size)) + f_o = scipy.arange(-fs_aint / 2.0, fs_aint / 2.0, fs_aint / float(X_o.size)) p3_f = sp3_f.plot(f_o, X_o, "b") sp3_f.set_xlim([min(f_o), max(f_o)+1]) sp3_f.set_ylim([-200.0, 50.0]) @@ -221,7 +224,7 @@ def main(): sp3_f.set_xlabel("Frequency (Hz)") sp3_f.set_ylabel("Power (dBW)") - Ts_aint = 1.0/fs_aint + Ts_aint = 1.0 / fs_aint Tmax = len(d)*Ts_aint t_o = scipy.arange(0, Tmax, Ts_aint) |