diff options
Diffstat (limited to 'gr-utils/src/python')
| -rw-r--r-- | gr-utils/src/python/Makefile.am | 1 | ||||
| -rwxr-xr-x | gr-utils/src/python/gr_plot_fft.py | 252 | ||||
| -rwxr-xr-x | gr-utils/src/python/gr_plot_fft_c.py | 195 | ||||
| -rwxr-xr-x | gr-utils/src/python/gr_plot_fft_f.py | 198 |
4 files changed, 261 insertions, 385 deletions
diff --git a/gr-utils/src/python/Makefile.am b/gr-utils/src/python/Makefile.am index 8b83dea73..db0d688f5 100644 --- a/gr-utils/src/python/Makefile.am +++ b/gr-utils/src/python/Makefile.am @@ -33,6 +33,7 @@ ourpython_PYTHON = \ bin_SCRIPTS = \ gr_plot_char.py \ gr_plot_const.py \ + gr_plot_fft.py \ gr_plot_fft_c.py \ gr_plot_fft_f.py \ gr_plot_float.py \ diff --git a/gr-utils/src/python/gr_plot_fft.py b/gr-utils/src/python/gr_plot_fft.py new file mode 100755 index 000000000..fa205e69a --- /dev/null +++ b/gr-utils/src/python/gr_plot_fft.py @@ -0,0 +1,252 @@ +#!/usr/bin/env python +# +# Copyright 2007,2008 Free Software Foundation, Inc. +# +# This file is part of GNU Radio +# +# GNU Radio is free software; you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation; either version 3, or (at your option) +# any later version. +# +# GNU Radio is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with GNU Radio; see the file COPYING. If not, write to +# the Free Software Foundation, Inc., 51 Franklin Street, +# Boston, MA 02110-1301, USA. +# + +try: + import matplotlib + matplotlib.use('TkAgg') + matplotlib.interactive(True) +except ImportError: + print "Please install Matplotlib to run this script (http://matplotlib.sourceforge.net/)" + raise SystemExit, 1 + +try: + import scipy + from scipy import fftpack +except ImportError: + print "Please install SciPy to run this script (http://www.scipy.org/)" + raise SystemExit, 1 + +try: + from pylab import * +except ImportError: + print "Please install Matplotlib to run this script (http://matplotlib.sourceforge.net/)" + raise SystemExit, 1 + +from optparse import OptionParser + +class gr_plot_fft: + def __init__(self, datatype, filename, options): + self.hfile = open(filename, "r") + self.block_length = options.block + self.start = options.start + self.sample_rate = options.sample_rate + + self.datatype = getattr(scipy, datatype) + self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file + + self.axis_font_size = 16 + self.label_font_size = 18 + self.title_font_size = 20 + self.text_size = 22 + + # Setup PLOT + self.fig = figure(1, figsize=(16, 12), facecolor='w') + rcParams['xtick.labelsize'] = self.axis_font_size + rcParams['ytick.labelsize'] = self.axis_font_size + + self.text_file = figtext(0.10, 0.94, ("File: %s" % filename), weight="heavy", size=self.text_size) + self.text_file_pos = figtext(0.10, 0.88, "File Position: ", weight="heavy", size=self.text_size) + self.text_block = figtext(0.35, 0.88, ("Block Size: %d" % self.block_length), + weight="heavy", size=self.text_size) + self.text_sr = figtext(0.60, 0.88, ("Sample Rate: %.2f" % self.sample_rate), + weight="heavy", size=self.text_size) + self.make_plots() + + self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True) + self.button_left = Button(self.button_left_axes, "<") + self.button_left_callback = self.button_left.on_clicked(self.button_left_click) + + self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True) + self.button_right = Button(self.button_right_axes, ">") + self.button_right_callback = self.button_right.on_clicked(self.button_right_click) + + self.xlim = self.sp_iq.get_xlim() + + self.manager = get_current_fig_manager() + connect('draw_event', self.zoom) + connect('key_press_event', self.click) + show() + + def get_data(self): + position = self.hfile.tell()/self.sizeof_data + self.text_file_pos.set_text("File Position: %d" % (position)) + self.iq = scipy.fromfile(self.hfile, dtype=self.datatype, count=self.block_length) + #print "Read in %d items" % len(self.iq) + if(len(self.iq) == 0): + print "End of File" + else: + self.iq_fft = self.dofft(self.iq) + + tstep = 1.0 / self.sample_rate + self.time = [tstep*position + tstep*(position + i) for i in xrange(len(self.iq))] + + self.freq = self.calc_freq(self.time, self.sample_rate) + + def dofft(self, iq): + N = len(iq) + iq_fft = fftpack.fftshift(scipy.fft(iq)) # fft and shift axis + iq_fft = 20*scipy.log10(abs((iq_fft+1e-15)/N)) # convert to decibels, adjust power + # adding 1e-15 (-300 dB) to protect against value errors if an item in iq_fft is 0 + return iq_fft + + def calc_freq(self, time, sample_rate): + N = len(time) + Fs = 1.0 / (max(time) - min(time)) + Fn = 0.5 * sample_rate + freq = [-Fn + i*Fs for i in xrange(N)] + return freq + + def make_plots(self): + # if specified on the command-line, set file pointer + self.hfile.seek(self.sizeof_data*self.start, 1) + + # Subplot for real and imaginary parts of signal + self.sp_iq = self.fig.add_subplot(2,2,1, position=[0.075, 0.2, 0.4, 0.6]) + self.sp_iq.set_title(("I&Q"), fontsize=self.title_font_size, fontweight="bold") + self.sp_iq.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold") + self.sp_iq.set_ylabel("Amplitude (V)", fontsize=self.label_font_size, fontweight="bold") + + # Subplot for FFT plot + self.sp_fft = self.fig.add_subplot(2,2,2, position=[0.575, 0.2, 0.4, 0.6]) + self.sp_fft.set_title(("FFT"), fontsize=self.title_font_size, fontweight="bold") + self.sp_fft.set_xlabel("Frequency (Hz)", fontsize=self.label_font_size, fontweight="bold") + self.sp_fft.set_ylabel("Power Spectrum (dBm)", fontsize=self.label_font_size, fontweight="bold") + + self.get_data() + + self.plot_iq = self.sp_iq.plot([], 'bo-') # make plot for reals + self.plot_iq += self.sp_iq.plot([], 'ro-') # make plot for imags + self.draw_time() # draw the plot + + self.plot_fft = self.sp_fft.plot([], 'bo-') # make plot for FFT + self.draw_fft() # draw the plot + + draw() + + def draw_time(self): + reals = self.iq.real + imags = self.iq.imag + self.plot_iq[0].set_data([self.time, reals]) + self.plot_iq[1].set_data([self.time, imags]) + self.sp_iq.set_xlim(min(self.time), max(self.time)) + self.sp_iq.set_ylim([1.5*min([min(reals), min(imags)]), + 1.5*max([max(reals), max(imags)])]) + + def draw_fft(self): + self.plot_fft[0].set_data([self.freq, self.iq_fft]) + self.sp_fft.set_xlim(min(self.freq), max(self.freq)) + self.sp_fft.set_ylim([min(self.iq_fft)-10, max(self.iq_fft)+10]) + + def update_plots(self): + self.draw_time() + self.draw_fft() + + draw() + + def zoom(self, event): + newxlim = self.sp_iq.get_xlim() + #if(newxlim != self.xlim): + if(0): + self.xlim = newxlim + xmin = max(0, int(ceil(self.sample_rate*self.xlim[0]))) + xmax = min(int(ceil(self.sample_rate*self.xlim[1])), len(self.iq)) + + iq = self.iq[xmin : xmax] + time = self.time[xmin : xmax] + + iq_fft = self.dofft(iq) + freq = self.calc_freq(time, self.sample_rate) + + self.plot_fft[0].set_data(freq, iq_fft) + self.sp_fft.axis([min(freq), max(freq), + min(iq_fft)-10, max(iq_fft)+10]) + + draw() + + def click(self, event): + forward_valid_keys = [" ", "down", "right"] + backward_valid_keys = ["up", "left"] + + if(find(event.key, forward_valid_keys)): + self.step_forward() + + elif(find(event.key, backward_valid_keys)): + self.step_backward() + + def button_left_click(self, event): + self.step_backward() + + def button_right_click(self, event): + self.step_forward() + + def step_forward(self): + self.get_data() + self.update_plots() + + def step_backward(self): + # Step back in file position + if(self.hfile.tell() >= 2*self.sizeof_data*self.block_length ): + self.hfile.seek(-2*self.sizeof_data*self.block_length, 1) + else: + self.hfile.seek(-self.hfile.tell(),1) + self.get_data() + self.update_plots() + +def find(item_in, list_search): + try: + return list_search.index(item_in) != None + except ValueError: + return False + +def setup_options(): + usage="%prog: [options] input_filename" + description = "Takes a GNU Radio complex binary file and displays the I&Q data versus time as well as the frequency domain (FFT) plot. The y-axis values are plotted assuming volts as the amplitude of the I&Q streams and converted into dBm in the frequency domain (the 1/N power adjustment out of the FFT is performed internally). The script plots a certain block of data at a time, specified on the command line as -B or --block. This value defaults to 1000. The start position in the file can be set by specifying -s or --start and defaults to 0 (the start of the file). By default, the system assumes a sample rate of 1, so in time, each sample is plotted versus the sample number. To set a true time and frequency axis, set the sample rate (-R or --sample-rate) to the sample rate used when capturing the samples." + + parser = OptionParser(conflict_handler="resolve", usage=usage, description=description) + parser.add_option("-d", "--data-type", type="string", default="complex64", + help="Specify the data type (complex64, float32, (u)int32, (u)int16, (u)int8) [default=%default]") + parser.add_option("-B", "--block", type="int", default=1000, + help="Specify the block size [default=%default]") + parser.add_option("-s", "--start", type="int", default=0, + help="Specify where to start in the file [default=%default]") + parser.add_option("-R", "--sample-rate", type="float", default=1.0, + help="Set the sampler rate of the data [default=%default]") + return parser + +def main(): + parser = setup_options() + (options, args) = parser.parse_args () + if len(args) != 1: + parser.print_help() + raise SystemExit, 1 + filename = args[0] + + dc = gr_plot_fft(options.data_type, filename, options) + +if __name__ == "__main__": + try: + main() + except KeyboardInterrupt: + pass + + + diff --git a/gr-utils/src/python/gr_plot_fft_c.py b/gr-utils/src/python/gr_plot_fft_c.py index b7b802fd7..de59b36c9 100755 --- a/gr-utils/src/python/gr_plot_fft_c.py +++ b/gr-utils/src/python/gr_plot_fft_c.py @@ -20,198 +20,11 @@ # Boston, MA 02110-1301, USA. # -try: - import scipy - from scipy import fftpack -except ImportError: - print "Please install SciPy to run this script (http://www.scipy.org/)" - raise SystemExit, 1 - -try: - from pylab import * -except ImportError: - print "Please install Matplotlib to run this script (http://matplotlib.sourceforge.net/)" - raise SystemExit, 1 - -from optparse import OptionParser -from math import log10 - -matplotlib.interactive(True) -matplotlib.use('TkAgg') - -class draw_fft_c: - def __init__(self, filename, options): - self.hfile = open(filename, "r") - self.block_length = options.block - self.start = options.start - self.sample_rate = options.sample_rate - - self.datatype = scipy.complex64 - self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file - - self.axis_font_size = 16 - self.label_font_size = 18 - self.title_font_size = 20 - self.text_size = 22 - - # Setup PLOT - self.fig = figure(1, figsize=(16, 9), facecolor='w') - rcParams['xtick.labelsize'] = self.axis_font_size - rcParams['ytick.labelsize'] = self.axis_font_size - - self.text_file = figtext(0.10, 0.94, ("File: %s" % filename), weight="heavy", size=self.text_size) - self.text_file_pos = figtext(0.10, 0.88, "File Position: ", weight="heavy", size=self.text_size) - self.text_block = figtext(0.40, 0.88, ("Block Size: %d" % self.block_length), - weight="heavy", size=self.text_size) - self.text_sr = figtext(0.60, 0.88, ("Sample Rate: %.2f" % self.sample_rate), - weight="heavy", size=self.text_size) - self.make_plots() - - self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True) - self.button_left = Button(self.button_left_axes, "<") - self.button_left_callback = self.button_left.on_clicked(self.button_left_click) - - self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True) - self.button_right = Button(self.button_right_axes, ">") - self.button_right_callback = self.button_right.on_clicked(self.button_right_click) - - self.xlim = self.sp_iq.get_xlim() - - self.manager = get_current_fig_manager() - connect('draw_event', self.zoom) - connect('key_press_event', self.click) - show() - - def get_data(self): - self.text_file_pos.set_text("File Position: %d" % (self.hfile.tell()//self.sizeof_data)) - self.iq = scipy.fromfile(self.hfile, dtype=self.datatype, count=self.block_length) - #print "Read in %d items" % len(self.iq) - if(len(self.iq) == 0): - print "End of File" - else: - self.reals = [r.real for r in self.iq] - self.imags = [i.imag for i in self.iq] - - self.iq_fft = self.dofft(self.iq) - - self.time = [i*(1/self.sample_rate) for i in range(len(self.reals))] - self.freq = self.calc_freq(self.time, self.sample_rate) - - - def dofft(self, iq): - N = len(iq) - iq_fft = fftpack.fftshift(scipy.fft(iq)) # fft and shift axis - iq_fft = [20*log10(abs(i/N)) for i in iq_fft] # convert to decibels, adjust power - return iq_fft - - def calc_freq(self, time, sample_rate): - N = len(time) - Fs = 1.0 / (max(time) - min(time)) - Fn = 0.5 * sample_rate - freq = [-Fn + i*Fs for i in range(N)] - return freq - - def make_plots(self): - # if specified on the command-line, set file pointer - self.hfile.seek(self.sizeof_data*self.start, 1) - - self.get_data() - - # Subplot for real and imaginary parts of signal - self.sp_iq = self.fig.add_subplot(2,1,1, position=[0.075, 0.2, 0.4, 0.6]) - self.sp_iq.set_title(("I&Q"), fontsize=self.title_font_size, fontweight="bold") - self.sp_iq.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold") - self.sp_iq.set_ylabel("Amplitude (V)", fontsize=self.label_font_size, fontweight="bold") - self.plot_iq = plot(self.time, self.reals, 'bo-', self.time, self.imags, 'ro-') - self.sp_iq.set_ylim([1.5*min([min(self.reals), min(self.imags)]), - 1.5*max([max(self.reals), max(self.imags)])]) - - # Subplot for constellation plot - self.sp_fft = self.fig.add_subplot(2,2,1, position=[0.575, 0.2, 0.4, 0.6]) - self.sp_fft.set_title(("FFT"), fontsize=self.title_font_size, fontweight="bold") - self.sp_fft.set_xlabel("Frequency (Hz)", fontsize=self.label_font_size, fontweight="bold") - self.sp_fft.set_ylabel("Power (dBm)", fontsize=self.label_font_size, fontweight="bold") - self.plot_fft = plot(self.freq, self.iq_fft, '-bo') - self.sp_fft.set_ylim([min(self.iq_fft)-10, max(self.iq_fft)+10]) - - draw() - - def update_plots(self): - self.plot_iq[0].set_data([self.time, self.reals]) - self.plot_iq[1].set_data([self.time, self.imags]) - self.sp_iq.set_ylim([1.5*min([min(self.reals), min(self.imags)]), - 1.5*max([max(self.reals), max(self.imags)])]) - - self.plot_fft[0].set_data([self.freq, self.iq_fft]) - self.sp_fft.set_ylim([min(self.iq_fft)-10, max(self.iq_fft)+10]) - - draw() - - def zoom(self, event): - newxlim = self.sp_iq.get_xlim() - if(newxlim != self.xlim): - self.xlim = newxlim - xmin = max(0, int(ceil(self.sample_rate*self.xlim[0]))) - xmax = min(int(ceil(self.sample_rate*self.xlim[1])), len(self.iq)) - - iq = self.iq[xmin : xmax] - time = self.time[xmin : xmax] - - iq_fft = self.dofft(iq) - freq = self.calc_freq(time, self.sample_rate) - - self.plot_fft[0].set_data(freq, iq_fft) - self.sp_fft.axis([min(freq), max(freq), - min(iq_fft)-10, max(iq_fft)+10]) - - draw() - - def click(self, event): - forward_valid_keys = [" ", "down", "right"] - backward_valid_keys = ["up", "left"] - - if(find(event.key, forward_valid_keys)): - self.step_forward() - - elif(find(event.key, backward_valid_keys)): - self.step_backward() - - def button_left_click(self, event): - self.step_backward() - - def button_right_click(self, event): - self.step_forward() - - def step_forward(self): - self.get_data() - self.update_plots() - - def step_backward(self): - # Step back in file position - if(self.hfile.tell() >= 2*self.sizeof_data*self.block_length ): - self.hfile.seek(-2*self.sizeof_data*self.block_length, 1) - else: - self.hfile.seek(-self.hfile.tell(),1) - self.get_data() - self.update_plots() - -def find(item_in, list_search): - try: - return list_search.index(item_in) != None - except ValueError: - return False +import gr_plot_fft def main(): - usage="%prog: [options] input_filename" - description = "Takes a GNU Radio complex binary file and displays the I&Q data versus time as well as the frequency domain (FFT) plot. The y-axis values are plotted assuming volts as the amplitude of the I&Q streams and converted into dBm in the frequency domain (the 1/N power adjustment out of the FFT is performed internally). The script plots a certain block of data at a time, specified on the command line as -B or --block. This value defaults to 1000. The start position in the file can be set by specifying -s or --start and defaults to 0 (the start of the file). By default, the system assumes a sample rate of 1, so in time, each sample is plotted versus the sample number. To set a true time and frequency axis, set the sample rate (-R or --sample-rate) to the sample rate used when capturing the samples." - - parser = OptionParser(conflict_handler="resolve", usage=usage, description=description) - parser.add_option("-B", "--block", type="int", default=1000, - help="Specify the block size [default=%default]") - parser.add_option("-s", "--start", type="int", default=0, - help="Specify where to start in the file [default=%default]") - parser.add_option("-R", "--sample-rate", type="float", default=1.0, - help="Set the sampler rate of the data [default=%default]") + parser = gr_plot_fft.setup_options() + parser.remove_option("--data-type") (options, args) = parser.parse_args () if len(args) != 1: @@ -219,7 +32,7 @@ def main(): raise SystemExit, 1 filename = args[0] - dc = draw_fft_c(filename, options) + dc = gr_plot_fft.gr_plot_fft("complex64", filename, options) if __name__ == "__main__": try: diff --git a/gr-utils/src/python/gr_plot_fft_f.py b/gr-utils/src/python/gr_plot_fft_f.py index 8f545c589..f50358f01 100755 --- a/gr-utils/src/python/gr_plot_fft_f.py +++ b/gr-utils/src/python/gr_plot_fft_f.py @@ -20,201 +20,11 @@ # Boston, MA 02110-1301, USA. # -try: - import scipy - from scipy import fftpack -except ImportError: - print "Please install SciPy to run this script (http://www.scipy.org/)" - raise SystemExit, 1 +import gr_plot_fft -try: - from pylab import * -except ImportError: - print "Please install Matplotlib to run this script (http://matplotlib.sourceforge.net/)" - raise SystemExit, 1 - -from optparse import OptionParser -from math import log10 - -matplotlib.interactive(True) -matplotlib.use('TkAgg') - -class draw_fft_f: - def __init__(self, filename, options): - self.hfile = open(filename, "r") - self.block_length = options.block - self.start = options.start - self.sample_rate = options.sample_rate - - self.datatype = scipy.float32 - self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file - - self.axis_font_size = 16 - self.label_font_size = 18 - self.title_font_size = 20 - self.text_size = 22 - - # Setup PLOT - self.fig = figure(1, figsize=(16, 9), facecolor='w') - rcParams['xtick.labelsize'] = self.axis_font_size - rcParams['ytick.labelsize'] = self.axis_font_size - - self.text_file = figtext(0.10, 0.94, ("File: %s" % filename), weight="heavy", size=self.text_size) - self.text_file_pos = figtext(0.10, 0.88, "File Position: ", weight="heavy", size=self.text_size) - self.text_block = figtext(0.40, 0.88, ("Block Size: %d" % self.block_length), - weight="heavy", size=self.text_size) - self.text_sr = figtext(0.60, 0.88, ("Sample Rate: %.2f" % self.sample_rate), - weight="heavy", size=self.text_size) - self.make_plots() - - self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True) - self.button_left = Button(self.button_left_axes, "<") - self.button_left_callback = self.button_left.on_clicked(self.button_left_click) - - self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True) - self.button_right = Button(self.button_right_axes, ">") - self.button_right_callback = self.button_right.on_clicked(self.button_right_click) - - self.xlim = self.sp_f.get_xlim() - - self.manager = get_current_fig_manager() - connect('draw_event', self.zoom) - connect('key_press_event', self.click) - show() - - def get_data(self): - self.text_file_pos.set_text("File Position: %d" % (self.hfile.tell()//self.sizeof_data)) - self.floats = scipy.fromfile(self.hfile, dtype=self.datatype, count=self.block_length) - #print "Read in %d items" % len(self.floats) - if(len(self.floats) == 0): - print "End of File" - else: - self.f_fft = self.dofft(self.floats) - - self.time = [i*(1/self.sample_rate) for i in range(len(self.floats))] - self.freq = self.calc_freq(self.time, self.sample_rate) - - def dofft(self, f): - N = len(f) - f_fft = fftpack.fftshift(scipy.fft(f)) # fft and shift axis - f_dB = list() - for f in f_fft: - try: - f_dB.append(20*log10(abs(f/N))) # convert to decibels, adjust power - except OverflowError: # protect against taking log(0) - f = 1e-14 # not sure if this is the best way to do this - f_dB.append(20*log10(abs(f/N))) - - return f_dB - - def calc_freq(self, time, sample_rate): - N = len(time) - Fs = 1.0 / (max(time) - min(time)) - Fn = 0.5 * sample_rate - freq = [-Fn + i*Fs for i in range(N)] - return freq - - def make_plots(self): - # if specified on the command-line, set file pointer - self.hfile.seek(self.sizeof_data*self.start, 1) - - self.get_data() - - # Subplot for real and imaginary parts of signal - self.sp_f = self.fig.add_subplot(2,1,1, position=[0.075, 0.2, 0.4, 0.6]) - self.sp_f.set_title(("Amplitude"), fontsize=self.title_font_size, fontweight="bold") - self.sp_f.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold") - self.sp_f.set_ylabel("Amplitude (V)", fontsize=self.label_font_size, fontweight="bold") - self.plot_f = plot(self.time, self.floats, 'bo-') - self.sp_f.set_ylim([1.5*min(self.floats), - 1.5*max(self.floats)]) - - # Subplot for constellation plot - self.sp_fft = self.fig.add_subplot(2,2,1, position=[0.575, 0.2, 0.4, 0.6]) - self.sp_fft.set_title(("FFT"), fontsize=self.title_font_size, fontweight="bold") - self.sp_fft.set_xlabel("Frequency (Hz)", fontsize=self.label_font_size, fontweight="bold") - self.sp_fft.set_ylabel("Power (dBm)", fontsize=self.label_font_size, fontweight="bold") - self.plot_fft = plot(self.freq, self.f_fft, '-bo') - self.sp_fft.set_ylim([min(self.f_fft)-10, max(self.f_fft)+10]) - - draw() - - def update_plots(self): - self.plot_f[0].set_data([self.time, self.floats]) - self.sp_f.set_ylim([1.5*min(self.floats), - 1.5*max(self.floats)]) - - self.plot_fft[0].set_data([self.freq, self.f_fft]) - self.sp_fft.set_ylim([min(self.f_fft)-10, max(self.f_fft)+10]) - - draw() - - def zoom(self, event): - newxlim = self.sp_f.get_xlim() - if(newxlim != self.xlim): - self.xlim = newxlim - xmin = max(0, int(ceil(self.sample_rate*self.xlim[0]))) - xmax = min(int(ceil(self.sample_rate*self.xlim[1])), len(self.floats)) - - f = self.floats[xmin : xmax] - time = self.time[xmin : xmax] - - f_fft = self.dofft(f) - freq = self.calc_freq(time, self.sample_rate) - - self.plot_fft[0].set_data(freq, f_fft) - self.sp_fft.axis([min(freq), max(freq), - min(f_fft)-10, max(f_fft)+10]) - - draw() - - def click(self, event): - forward_valid_keys = [" ", "down", "right"] - backward_valid_keys = ["up", "left"] - - if(find(event.key, forward_valid_keys)): - self.step_forward() - - elif(find(event.key, backward_valid_keys)): - self.step_backward() - - def button_left_click(self, event): - self.step_backward() - - def button_right_click(self, event): - self.step_forward() - - def step_forward(self): - self.get_data() - self.update_plots() - - def step_backward(self): - # Step back in file position - if(self.hfile.tell() >= 2*self.sizeof_data*self.block_length ): - self.hfile.seek(-2*self.sizeof_data*self.block_length, 1) - else: - self.hfile.seek(-self.hfile.tell(),1) - self.get_data() - self.update_plots() - - -def find(item_in, list_search): - try: - return list_search.index(item_in) != None - except ValueError: - return False - def main(): - usage="%prog: [options] input_filename" - description = "Takes a GNU Radio floating point binary file and displays the sample data versus time as well as the frequency domain (FFT) plot. The y-axis values are plotted assuming volts as the amplitude of the I&Q streams and converted into dBm in the frequency domain (the 1/N power adjustment out of the FFT is performed internally). The script plots a certain block of data at a time, specified on the command line as -B or --block. This value defaults to 1000. The start position in the file can be set by specifying -s or --start and defaults to 0 (the start of the file). By default, the system assumes a sample rate of 1, so in time, each sample is plotted versus the sample number. To set a true time and frequency axis, set the sample rate (-R or --sample-rate) to the sample rate used when capturing the samples." - - parser = OptionParser(conflict_handler="resolve", usage=usage, description=description) - parser.add_option("-B", "--block", type="int", default=1000, - help="Specify the block size [default=%default]") - parser.add_option("-s", "--start", type="int", default=0, - help="Specify where to start in the file [default=%default]") - parser.add_option("-R", "--sample-rate", type="float", default=1.0, - help="Set the sampler rate of the data [default=%default]") + parser = gr_plot_fft.setup_options() + parser.remove_option("--data-type") (options, args) = parser.parse_args () if len(args) != 1: @@ -222,7 +32,7 @@ def main(): raise SystemExit, 1 filename = args[0] - dc = draw_fft_f(filename, options) + dc = gr_plot_fft.gr_plot_fft("float32", filename, options) if __name__ == "__main__": try: |