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# Copyright 2007,2008 Free Software Foundation, Inc.
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# This file is part of GNU Radio
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# GNU Radio is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 3, or (at your option)
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# GNU Radio is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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# You should have received a copy of the GNU General Public License
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# along with GNU Radio; see the file COPYING. If not, write to
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# the Free Software Foundation, Inc., 51 Franklin Street,
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# Boston, MA 02110-1301, USA.
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matplotlib.use('TkAgg')
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matplotlib.interactive(True)
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print "Please install Matplotlib to run this script (http://matplotlib.sourceforge.net/)"
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from scipy import fftpack
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print "Please install SciPy to run this script (http://www.scipy.org/)"
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print "Please install Matplotlib to run this script (http://matplotlib.sourceforge.net/)"
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from optparse import OptionParser
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def __init__(self, datatype, filename, options):
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self.hfile = open(filename, "r")
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self.block_length = options.block
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self.start = options.start
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self.sample_rate = options.sample_rate
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self.datatype = getattr(scipy, datatype)
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self.sizeof_data = self.datatype().nbytes # number of bytes per sample in file
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self.axis_font_size = 16
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self.label_font_size = 18
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self.title_font_size = 20
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self.fig = figure(1, figsize=(16, 12), facecolor='w')
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rcParams['xtick.labelsize'] = self.axis_font_size
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rcParams['ytick.labelsize'] = self.axis_font_size
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self.text_file = figtext(0.10, 0.94, ("File: %s" % filename), weight="heavy", size=self.text_size)
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self.text_file_pos = figtext(0.10, 0.88, "File Position: ", weight="heavy", size=self.text_size)
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self.text_block = figtext(0.35, 0.88, ("Block Size: %d" % self.block_length),
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weight="heavy", size=self.text_size)
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self.text_sr = figtext(0.60, 0.88, ("Sample Rate: %.2f" % self.sample_rate),
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weight="heavy", size=self.text_size)
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self.button_left_axes = self.fig.add_axes([0.45, 0.01, 0.05, 0.05], frameon=True)
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self.button_left = Button(self.button_left_axes, "<")
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self.button_left_callback = self.button_left.on_clicked(self.button_left_click)
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self.button_right_axes = self.fig.add_axes([0.50, 0.01, 0.05, 0.05], frameon=True)
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self.button_right = Button(self.button_right_axes, ">")
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self.button_right_callback = self.button_right.on_clicked(self.button_right_click)
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self.xlim = self.sp_iq.get_xlim()
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self.manager = get_current_fig_manager()
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connect('draw_event', self.zoom)
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connect('key_press_event', self.click)
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self.position = self.hfile.tell()/self.sizeof_data
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self.text_file_pos.set_text("File Position: %d" % (self.position))
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self.iq = scipy.fromfile(self.hfile, dtype=self.datatype, count=self.block_length)
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#print "Read in %d items" % len(self.iq)
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if(len(self.iq) == 0):
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self.iq_fft = self.dofft(self.iq)
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tstep = 1.0 / self.sample_rate
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self.time = [tstep*(self.position + i) for i in xrange(len(self.iq))]
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self.freq = self.calc_freq(self.time, self.sample_rate)
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iq_fft = fftpack.fftshift(scipy.fft(iq)) # fft and shift axis
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iq_fft = 20*scipy.log10(abs((iq_fft+1e-15)/N)) # convert to decibels, adjust power
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# adding 1e-15 (-300 dB) to protect against value errors if an item in iq_fft is 0
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def calc_freq(self, time, sample_rate):
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Fs = 1.0 / (max(time) - min(time))
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Fn = 0.5 * sample_rate
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freq = [-Fn + i*Fs for i in xrange(N)]
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def make_plots(self):
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# if specified on the command-line, set file pointer
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self.hfile.seek(self.sizeof_data*self.start, 1)
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# Subplot for real and imaginary parts of signal
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self.sp_iq = self.fig.add_subplot(2,2,1, position=[0.075, 0.2, 0.4, 0.6])
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self.sp_iq.set_title(("I&Q"), fontsize=self.title_font_size, fontweight="bold")
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self.sp_iq.set_xlabel("Time (s)", fontsize=self.label_font_size, fontweight="bold")
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self.sp_iq.set_ylabel("Amplitude (V)", fontsize=self.label_font_size, fontweight="bold")
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# Subplot for FFT plot
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self.sp_fft = self.fig.add_subplot(2,2,2, position=[0.575, 0.2, 0.4, 0.6])
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self.sp_fft.set_title(("FFT"), fontsize=self.title_font_size, fontweight="bold")
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self.sp_fft.set_xlabel("Frequency (Hz)", fontsize=self.label_font_size, fontweight="bold")
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self.sp_fft.set_ylabel("Power Spectrum (dBm)", fontsize=self.label_font_size, fontweight="bold")
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self.plot_iq = self.sp_iq.plot([], 'bo-') # make plot for reals
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self.plot_iq += self.sp_iq.plot([], 'ro-') # make plot for imags
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self.draw_time() # draw the plot
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self.plot_fft = self.sp_fft.plot([], 'bo-') # make plot for FFT
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self.draw_fft() # draw the plot
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self.plot_iq[0].set_data([self.time, reals])
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self.plot_iq[1].set_data([self.time, imags])
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self.sp_iq.set_xlim(min(self.time), max(self.time))
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self.sp_iq.set_ylim([1.5*min([min(reals), min(imags)]),
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1.5*max([max(reals), max(imags)])])
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self.plot_fft[0].set_data([self.freq, self.iq_fft])
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self.sp_fft.set_xlim(min(self.freq), max(self.freq))
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self.sp_fft.set_ylim([min(self.iq_fft)-10, max(self.iq_fft)+10])
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def update_plots(self):
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self.xlim = self.sp_iq.get_xlim()
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def zoom(self, event):
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newxlim = self.sp_iq.get_xlim()
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if(newxlim.all() != self.xlim.all()):
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xmin = max(0, int(ceil(self.sample_rate*(self.xlim[0] - self.position))))
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xmax = min(int(ceil(self.sample_rate*(self.xlim[1] - self.position))), len(self.iq))
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iq = self.iq[xmin : xmax]
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time = self.time[xmin : xmax]
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iq_fft = self.dofft(iq)
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freq = self.calc_freq(time, self.sample_rate)
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self.plot_fft[0].set_data(freq, iq_fft)
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self.sp_fft.axis([min(freq), max(freq),
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min(iq_fft)-10, max(iq_fft)+10])
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def click(self, event):
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forward_valid_keys = [" ", "down", "right"]
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backward_valid_keys = ["up", "left"]
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if(find(event.key, forward_valid_keys)):
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elif(find(event.key, backward_valid_keys)):
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def button_left_click(self, event):
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def button_right_click(self, event):
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def step_forward(self):
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def step_backward(self):
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# Step back in file position
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if(self.hfile.tell() >= 2*self.sizeof_data*self.block_length ):
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self.hfile.seek(-2*self.sizeof_data*self.block_length, 1)
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self.hfile.seek(-self.hfile.tell(),1)
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def find(item_in, list_search):
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return list_search.index(item_in) != None
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usage="%prog: [options] input_filename"
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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."
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parser = OptionParser(conflict_handler="resolve", usage=usage, description=description)
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parser.add_option("-d", "--data-type", type="string", default="complex64",
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help="Specify the data type (complex64, float32, (u)int32, (u)int16, (u)int8) [default=%default]")
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parser.add_option("-B", "--block", type="int", default=1000,
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help="Specify the block size [default=%default]")
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parser.add_option("-s", "--start", type="int", default=0,
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help="Specify where to start in the file [default=%default]")
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parser.add_option("-R", "--sample-rate", type="float", default=1.0,
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help="Set the sampler rate of the data [default=%default]")
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parser = setup_options()
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(options, args) = parser.parse_args ()
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dc = gr_plot_fft(options.data_type, filename, options)
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if __name__ == "__main__":
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except KeyboardInterrupt:
added
removed
gr-utils/src/python/gr_plot_fft.py
