-#!/usr/bin/env python

-#

-# Copyright 2007,2008,2011 Free Software Foundation, Inc.

-#

-# This file is part of GNU Radio

-#

-# SPDX-License-Identifier: GPL-3.0-or-later

-#

-#

-

-from __future__ import print_function

-from __future__ import division

-from __future__ import unicode_literals

-

-import numpy

-from numpy.fft import fftpack

-

-try:

- from pylab import Button, connect, draw, figure, figtext, get_current_fig_manager, show, rcParams, ceil

-except ImportError:

- print("Please install Python Matplotlib (http://matplotlib.sourceforge.net/) and Python TkInter https://wiki.python.org/moin/TkInter to run this script")

- raise SystemExit(1)

-

-from argparse import ArgumentParser

-from gnuradio.plot_data import datatype_lookup

-

-

-class plot_fft_base(object):

- 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 = datatype

- if self.datatype is None:

- self.datatype = datatype_lookup[options.data_type]

- 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):

- self.position = self.hfile.tell() / self.sizeof_data

- self.text_file_pos.set_text("File Position: %d" % (self.position))

- try:

- self.iq = numpy.fromfile(self.hfile, dtype=self.datatype, count=self.block_length)

- except MemoryError:

- print("End of File")

- else:

- self.iq_fft = self.dofft(self.iq)

-

- tstep = 1.0 / self.sample_rate

- #self.time = numpy.array([tstep*(self.position + i) for i in range(len(self.iq))])

- self.time = numpy.array([tstep*(i) for i in range(len(self.iq))])

-

- self.freq = self.calc_freq(self.time, self.sample_rate)

-

- def dofft(self, iq):

- N = len(iq)

- iq_fft = numpy.fft.fftshift(fftpack.fft(iq)) # fft and shift axis

- iq_fft = 20*numpy.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 = numpy.array([-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)

-

- # 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(self.time.min(), self.time.max())

- self.sp_iq.set_ylim([1.5*min([reals.min(), imags.min()]),

- 1.5*max([reals.max(), imags.max()])])

-

- def draw_fft(self):

- self.plot_fft[0].set_data([self.freq, self.iq_fft])

- self.sp_fft.set_xlim(self.freq.min(), self.freq.max())

- self.sp_fft.set_ylim([self.iq_fft.min()-10, self.iq_fft.max()+10])

-

- def update_plots(self):

- self.draw_time()

- self.draw_fft()

-

- self.xlim = self.sp_iq.get_xlim()

- draw()

-

- def zoom(self, event):

- newxlim = numpy.array(self.sp_iq.get_xlim())

- curxlim = numpy.array(self.xlim)

- if(newxlim[0] != curxlim[0] or newxlim[1] != curxlim[1]):

- self.xlim = newxlim

- #xmin = max(0, int(ceil(self.sample_rate*(self.xlim[0] - self.position))))

- #xmax = min(int(ceil(self.sample_rate*(self.xlim[1] - self.position))), len(self.iq))

- 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([freq.min(), freq.max(),

- iq_fft.min()-10, iq_fft.max()+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()

-

- @staticmethod

- def setup_options():

- 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 = ArgumentParser(conflict_handler="resolve", description=description)

- parser.add_argument("-d", "--data-type", default="complex64",

- choices=("complex64", "float32", "uint32", "int32", "uint16",

- "int16", "uint8", "int8"),

- help="Specify the data type [default=%(default)r]")

- parser.add_argument("-B", "--block", type=int, default=1000,

- help="Specify the block size [default=%(default)r]")

- parser.add_argument("-s", "--start", type=int, default=0,

- help="Specify where to start in the file [default=%(default)r]")

- parser.add_argument("-R", "--sample-rate", type=float, default=1.0,

- help="Set the sampler rate of the data [default=%(default)r]")

- parser.add_argument("file", metavar="FILE",

- help="Input file with samples")

- return parser

-

-def find(item_in, list_search):

- try:

- return list_search.index(item_in) != None

- except ValueError:

- return False

-

-def main():

- parser = plot_fft_base.setup_options()

- args = parser.parse_args()

-

- plot_fft_base(None, args.file, args)

-

-if __name__ == "__main__":

- try:

- main()

- except KeyboardInterrupt:

- pass