1 files changed, 69 insertions, 46 deletions
diff --git a/gr-utils/plot_tools/plot_fft_base.py b/gr-utils/plot_tools/plot_fft_base.py
index 9fa3611e14..8de668d4c4 100644
--- a/gr-utils/plot_tools/plot_fft_base.py
+++ b/gr-utils/plot_tools/plot_fft_base.py
@@ -31,7 +31,8 @@ class plot_fft_base(object):
         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
+        # number of bytes per sample in file
+        self.sizeof_data = self.datatype().nbytes
 
         self.axis_font_size = 16
         self.label_font_size = 18
@@ -43,21 +44,27 @@ class plot_fft_base(object):
         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.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_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_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_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.button_right_callback = self.button_right.on_clicked(
+            self.button_right_click)
 
         self.xlim = self.sp_iq.get_xlim()
 
@@ -70,7 +77,8 @@ class plot_fft_base(object):
         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)
+            self.iq = numpy.fromfile(
+                self.hfile, dtype=self.datatype, count=self.block_length)
         except MemoryError:
             print("End of File")
         else:
@@ -78,14 +86,16 @@ class plot_fft_base(object):
 
             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.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(numpy.fft.fft(iq))       # fft and shift axis
-        iq_fft = 20*numpy.log10(abs((iq_fft+1e-15) / N)) # convert to decibels, adjust power
+        iq_fft = numpy.fft.fftshift(
+            numpy.fft.fft(iq))       # fft and shift axis
+        # convert to decibels, adjust power
+        iq_fft = 20 * numpy.log10(abs((iq_fft + 1e-15) / N))
         # adding 1e-15 (-300 dB) to protect against value errors if an item in iq_fft is 0
         return iq_fft
 
@@ -93,29 +103,37 @@ class plot_fft_base(object):
         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)])
+        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)
+        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")
+        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.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.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
@@ -129,13 +147,13 @@ class plot_fft_base(object):
         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()])])
+        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])
+        self.sp_fft.set_ylim([self.iq_fft.min() - 10, self.iq_fft.max() + 10])
 
     def update_plots(self):
         self.draw_time()
@@ -151,18 +169,19 @@ class plot_fft_base(object):
             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))
+            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 = 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])
+                              iq_fft.min() - 10, iq_fft.max() + 10])
 
             draw()
 
@@ -188,10 +207,10 @@ class plot_fft_base(object):
 
     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)
+        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.hfile.seek(-self.hfile.tell(), 1)
         self.get_data()
         self.update_plots()
 
@@ -199,33 +218,37 @@ class plot_fft_base(object):
     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 = 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]")
+                            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]")
+                            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]")
+                            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]")
+                            help="Set the sampler rate of the data [default=%(default)r]")
         parser.add_argument("file", metavar="FILE",
-                help="Input file with samples")
+                            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()