diff options
| author | Martin Braun <martin.braun@ettus.com> | 2018-11-13 16:57:22 -0800 |
|---|---|---|
| committer | Martin Braun <martin.braun@ettus.com> | 2018-11-15 15:31:59 -0800 |
| commit | 03e3a368eb28043cda924397874e572fc8af9c38 (patch) | |
| tree | 0368c364f2c530379fb43667e165409f97c43fda /gr-qtgui/apps/plot_base.py | |
| parent | a49ec7765c27e3b114fbcac4dbc1c877863886c7 (diff) | |
qtgui: Remove the command line plot tools
Note: In gr-utils, we have a version of these tools that don't have Qt4
dependencies (note: they have matplotlib dependencies, though).
None of these tools work with Qt5.
Diffstat (limited to 'gr-qtgui/apps/plot_base.py')
| -rw-r--r-- | gr-qtgui/apps/plot_base.py | 164 |
1 files changed, 0 insertions, 164 deletions
diff --git a/gr-qtgui/apps/plot_base.py b/gr-qtgui/apps/plot_base.py deleted file mode 100644 index 46f85ab8f5..0000000000 --- a/gr-qtgui/apps/plot_base.py +++ /dev/null @@ -1,164 +0,0 @@ -#!/usr/bin/env python -# -# Copyright 2013 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. -# - -from __future__ import print_function -from __future__ import division -from __future__ import unicode_literals - -from gnuradio import gr, blocks -import os, sys - -os.environ['GR_CONF_CONTROLPORT_ON'] = 'False' - -try: - from gnuradio import qtgui - from PyQt4 import QtGui, QtCore - import sip -except ImportError: - print("Error: Program requires PyQt4 and gr-qtgui.") - sys.exit(1) - -import numpy - -try: - from gnuradio.qtgui.plot_constellation_form import * - from gnuradio.qtgui.plot_psd_form import * - from gnuradio.qtgui.plot_spectrogram_form import * - from gnuradio.qtgui.plot_time_form import * - from gnuradio.qtgui.plot_time_raster_form import * -except ImportError: - from plot_constellation_form import * - from plot_psd_form import * - from plot_spectrogram_form import * - from plot_time_form import * - from plot_time_raster_form import * - -def read_samples(filename, start, in_size, min_size, dtype, dtype_size): - # Read in_size number of samples from file - fhandle = open(filename, 'r') - fhandle.seek(start*dtype_size, 0) - data = numpy.fromfile(fhandle, dtype=dtype, count=in_size) - data_min = 1.1*data.min() - data_max = 1.1*data.max() - data = data.tolist() - fhandle.close() - - if(min_size > 0): - if(len(data) < in_size): - print("Warning: read in {0} samples but asked for {1} samples.".format( - len(data), in_size)) - else: - # If we have to, append 0's to create min_size samples of data - if(len(data) < min_size): - data += (min_size - len(data)) * [dtype(0)] - - - return data, data_min, data_max - -def read_samples_f(filename, start, in_size, min_size=0): - return read_samples(filename, start, in_size, min_size, - numpy.float32, gr.sizeof_float) - -def read_samples_i(filename, start, in_size, min_size=0): - return read_samples(filename, start, in_size, min_size, - numpy.int32, gr.sizeof_int) - -def read_samples_s(filename, start, in_size, min_size=0): - return read_samples(filename, start, in_size, min_size, - numpy.int16, gr.sizeof_short) - -def read_samples_b(filename, start, in_size, min_size=0): - d,mn,mx = read_samples(filename, start, in_size, min_size, - numpy.int8, gr.sizeof_char) - - # Bit of a hack since we want to read the data as signed ints, but - # the blocks.vector_source_b will only accept unsigned. We read in as - # signed, do our min/max and things on that, then convert here. - d = numpy.array(d, dtype=numpy.uint8).tolist() - return d,mn,mx - -def read_samples_c(filename, start, in_size, min_size=0): - # Complex samples are handled differently - fhandle = open(filename, 'r') - fhandle.seek(start*gr.sizeof_gr_complex, 0) - data = numpy.fromfile(fhandle, dtype=numpy.complex64, count=in_size) - data_min = 1.1*float(min(data.real.min(), data.imag.min())) - data_max = 1.1*float(max(data.real.max(), data.imag.max())) - data = data.tolist() - fhandle.close() - - if(min_size > 0): - if(len(data) < in_size): - print("Warning: read in {0} samples but asked for {1} samples.".format( - len(data), in_size)) - else: - # If we have to, append 0's to create min_size samples of data - if(len(data) < min_size): - data += (min_size - len(data)) * [complex(0,0)] - - return data, data_min, data_max - -class source_ints_to_float(gr.hier_block2): - def __init__(self, data): - gr.hier_block2.__init__(self, "ints_to_floats", - gr.io_signature(0, 0, 0), - gr.io_signature(1, 1, gr.sizeof_float)) - self.src = blocks.vector_source_i(data) - self.cvt = blocks.int_to_float() - self.connect(self.src, self.cvt, self) - - def set_data(self, data): - self.src.set_data(data) - -class source_shorts_to_float(gr.hier_block2): - def __init__(self, data): - gr.hier_block2.__init__(self, "shorts_to_floats", - gr.io_signature(0, 0, 0), - gr.io_signature(1, 1, gr.sizeof_float)) - self.src = blocks.vector_source_s(data) - self.cvt = blocks.short_to_float() - self.connect(self.src, self.cvt, self) - - def set_data(self, data): - self.src.set_data(data) - -class source_chars_to_float(gr.hier_block2): - def __init__(self, data): - gr.hier_block2.__init__(self, "chars_to_floats", - gr.io_signature(0, 0, 0), - gr.io_signature(1, 1, gr.sizeof_float)) - self.src = blocks.vector_source_b(data) - self.cvt = blocks.char_to_float() - self.connect(self.src, self.cvt, self) - - def set_data(self, data): - self.src.set_data(data) - -def find_max_nsamples(filelist): - # Find the smallest number of samples in all files and use that as - # a maximum value possible. - filesizes = [] - for f in filelist: - if(os.path.exists(f)): - filesizes.append(os.path.getsize(f) / gr.sizeof_gr_complex) - max_nsamples = min(filesizes) - return max_nsamples |