def set_record(self, record, step):
self.record = record
self.step = step
self.xrange = np.linspace(0,
len(self.record.signal) / self.record.fs,
num=len(self.record.signal),
endpoint=False)
self.xmin = self.xrange[0]
self.xmax = self.xrange[-1]
self.markers = {}
ax = self.minimapFig.axes[0]
ax.lines = []
formatter = FuncFormatter(
lambda x, pos: str(datetime.timedelta(seconds=x)))
ax.xaxis.set_major_formatter(formatter)
ax.grid(True, which='both')
ax.plot(self.xrange,
self.record.signal,
color='black',
rasterized=True)
ax.set_xlim(self.xmin, self.xmax)
plotting.adjust_axes_height(ax)
# Set the playback marker
self.playback_marker = PlayBackMarker(self.minimapFig, self)
self.playback_marker.markers[0].set_animated(True)
# Draw canvas
self.minimapCanvas.draw()
self.minimapBackground = self.minimapCanvas.copy_from_bbox(
self.minimapFig.bbox)
self.draw_animate()
def set_record(self, record, step):
self.record = record
self.step = step
self.xrange = np.linspace(0, len(self.record.signal) / self.record.fs,
num=len(self.record.signal), endpoint=False)
self.xmin = self.xrange[0]
self.xmax = self.xrange[-1]
self.markers = {}
ax = self.minimapFig.axes[0]
ax.lines = []
formatter = FuncFormatter(lambda x, pos: str(datetime.timedelta(seconds=x)))
ax.xaxis.set_major_formatter(formatter)
ax.grid(True, which='both')
# Set dataseries to plot
xmin = self.xmin * self.record.fs
xmax = self.xmax * self.record.fs
pixel_width = np.ceil(self.minimapFig.get_figwidth() * self.minimapFig.get_dpi())
x_data, y_data = plotting.reduce_data(self.xrange, self.record.signal, pixel_width, xmin, xmax)
# self._plot_data.set_xdata(x_data)
# self._plot_data.set_ydata(y_data)
ax.plot(x_data, y_data, color='black', rasterized=True)
ax.set_xlim(self.xmin, self.xmax)
plotting.adjust_axes_height(ax)
# Set the playback marker
self.playback_marker = PlayBackMarker(self.minimapFig, self)
self.playback_marker.markers[0].set_animated(True)
# Draw canvas
self.minimapCanvas.draw()
self.minimapBackground = self.minimapCanvas.copy_from_bbox(self.minimapFig.bbox)
self.draw_animate()
def update_cf(self):
if self.data_loaded:
self.cf = self.document.record.cf
self._cf_data.set_xdata(self.time[:len(self.cf)])
self._cf_data.set_ydata(self.cf)
plotting.adjust_axes_height(self.cf_ax)
cf_loaded = (self.cf.size != 0)
self.CF_loaded.emit(cf_loaded)
self.set_cf_visible(cf_loaded)
def update_cf(self):
if self.data_loaded:
self.cf = self.document.record.cf
self._cf_data.set_xdata(self.time[:len(self.cf)])
self._cf_data.set_ydata(self.cf)
plotting.adjust_axes_height(self.cf_ax)
cf_loaded = (self.cf.size != 0)
self.CF_loaded.emit(cf_loaded)
self.set_cf_visible(cf_loaded)
def set_record(self, document, step=120.0):
self.document = document
self.fs = self.document.record.fs
self.signal = self.document.record.signal
self.envelope = env.envelope(self.signal)
self.cf = self.document.record.cf
self.time = np.linspace(0,
len(self.signal) / self.fs,
num=len(self.signal),
endpoint=False)
self.xmax = self.time[-1]
# Draw minimap
self.minimap.set_record(self.document.record, step)
# Plot signal
self._signal_data = self.signal_ax.plot(self.time,
self.signal,
color='black',
rasterized=True)[0]
# Plot envelope
self._envelope_data = self.signal_ax.plot(self.time,
self.envelope,
color='red',
rasterized=True)[0]
plotting.adjust_axes_height(self.signal_ax)
# Plot CF
cf_loaded = (self.cf.size != 0)
self.set_cf_visible(cf_loaded)
self.CF_loaded.emit(cf_loaded)
self._cf_data = self.cf_ax.plot(self.time[:len(self.cf)],
self.cf,
color='black',
rasterized=True)[0]
plotting.adjust_axes_height(self.signal_ax)
self.thresholdMarker = ThresholdMarker(self.cf_ax)
# Plot espectrogram
plotting.plot_specgram(self.specgram_ax,
self.signal,
self.fs,
nfft=self.specgram_windowlen,
noverlap=self.specgram_noverlap,
window=self.specgram_window)
# Set the span selector
self.selector.fs = self.fs
self.selector.set_active(False)
self.selector.set_selection_limits(self.xmin, self.xmax)
# Set the playback marker
self.playback_marker = PlayBackMarker(self.fig, self)
# Set the initial xlimits
self.set_xlim(0, step)
self.subplots_adjust()
def set_record(self, document, step=120.0):
self.document = document
self.fs = self.document.record.fs
self.signal = self.document.record.signal
self.envelope = env.envelope(self.signal)
self.cf = self.document.record.cf
self.time = np.linspace(0, len(self.signal) / self.fs, num=len(self.signal), endpoint=False)
self.xmax = self.time[-1]
# Draw minimap
self.minimap.set_record(self.document.record, step)
# Plot signal
self._signal_data = self.signal_ax.plot(self.time,
self.signal,
color='black',
rasterized=True)[0]
# Plot envelope
self._envelope_data = self.signal_ax.plot(self.time,
self.envelope,
color='red',
rasterized=True)[0]
plotting.adjust_axes_height(self.signal_ax)
# Plot CF
cf_loaded = (self.cf.size != 0)
self.set_cf_visible(cf_loaded)
self.CF_loaded.emit(cf_loaded)
self._cf_data = self.cf_ax.plot(self.time[:len(self.cf)],
self.cf,
color='black', rasterized=True)[0]
plotting.adjust_axes_height(self.signal_ax)
self.thresholdMarker = ThresholdMarker(self.cf_ax)
# Plot espectrogram
plotting.plot_specgram(self.specgram_ax, self.signal, self.fs,
nfft=self.specgram_windowlen,
noverlap=self.specgram_noverlap,
window=self.specgram_window)
# Set the span selector
self.selector.fs = self.fs
self.selector.set_active(False)
self.selector.set_selection_limits(self.xmin, self.xmax)
# Set the playback marker
self.playback_marker = PlayBackMarker(self.fig, self)
# Set the initial xlimits
self.set_xlim(0, step)
self.subplots_adjust()
def set_record(self, document, step=120.0):
self.document = document
self.fs = self.document.record.fs
self.signal = self.document.record.signal
self.envelope = env.envelope(self.signal)
self.cf = self.document.record.cf
self.time = np.linspace(0,
len(self.signal) / self.fs,
num=len(self.signal),
endpoint=False)
self.xmax = self.time[-1]
# Draw minimap
self.minimap.minimapSelector.set(
visible=False) # Hide minimap selector while loading
self.minimap.set_record(self.document.record, step)
# Plot signal
step_samples = step * self.fs
self._signal_data = self.signal_ax.plot(self.time[:step_samples],
self.signal[:step_samples],
color='black',
rasterized=True)[0]
# Plot envelope
self._envelope_data = self.signal_ax.plot(self.time[:step_samples],
self.envelope[:step_samples],
color='red',
rasterized=True)[0]
# Adjust y axis for signal plot
signal_yaxis_max_value = max(np.max(self.signal),
np.max(self.envelope))
signal_yaxis_min_value = np.min(self.signal)
plotting.adjust_axes_height(self.signal_ax,
max_value=signal_yaxis_max_value,
min_value=signal_yaxis_min_value)
# Plot CF
cf_loaded = (self.cf.size != 0)
self.set_cf_visible(cf_loaded)
self.CF_loaded.emit(cf_loaded)
cf_step_samples = min(step_samples, len(self.cf))
self._cf_data = self.cf_ax.plot(self.time[:cf_step_samples],
self.cf[:cf_step_samples],
color='black',
rasterized=True)[0]
# Adjust y axis for CF plot
if cf_loaded:
plotting.adjust_axes_height(self.cf_ax,
max_value=np.max(self.cf),
min_value=np.min(self.cf))
self.thresholdMarker = ThresholdMarker(self.cf_ax)
# Plot espectrogram
plotting.plot_specgram(self.specgram_ax,
self.signal,
self.fs,
nfft=self.specgram_windowlen,
noverlap=self.specgram_noverlap,
window=self.specgram_window)
# Set the span selector
self.selector.fs = self.fs
self.selector.set_active(False)
self.selector.set_selection_limits(self.xmin, self.xmax)
# Set the playback marker
self.playback_marker = PlayBackMarker(self.fig, self)
# Set the initial xlimits
self.set_xlim(0, step)
self.subplots_adjust()
# Set event markers
self.eventMarkers = {}
for event in self.document.record.events:
self.create_event(event)
# Now activate selector again on minimap
self.minimap.minimapSelector.set(visible=True)
self.minimap.draw()
def set_record(self, document, step=120.0):
self.document = document
self.fs = self.document.record.fs
self.signal = self.document.record.signal
self.envelope = env.envelope(self.signal)
self.cf = self.document.record.cf
self.time = np.linspace(0, len(self.signal) / self.fs, num=len(self.signal), endpoint=False)
self.xmax = self.time[-1]
# Draw minimap
self.minimap.minimapSelector.set(visible=False) # Hide minimap selector while loading
self.minimap.set_record(self.document.record, step)
# Plot signal
step_samples = step * self.fs
self._signal_data = self.signal_ax.plot(self.time[:step_samples],
self.signal[:step_samples],
color='black',
rasterized=True)[0]
# Plot envelope
self._envelope_data = self.signal_ax.plot(self.time[:step_samples],
self.envelope[:step_samples],
color='red',
rasterized=True)[0]
# Adjust y axis for signal plot
signal_yaxis_max_value = max(np.max(self.signal), np.max(self.envelope))
signal_yaxis_min_value = np.min(self.signal)
plotting.adjust_axes_height(self.signal_ax,
max_value=signal_yaxis_max_value,
min_value=signal_yaxis_min_value)
# Plot CF
cf_loaded = (self.cf.size != 0)
self.set_cf_visible(cf_loaded)
self.CF_loaded.emit(cf_loaded)
cf_step_samples = min(step_samples,len(self.cf))
self._cf_data = self.cf_ax.plot(self.time[:cf_step_samples],
self.cf[:cf_step_samples],
color='black',
rasterized=True)[0]
# Adjust y axis for CF plot
if cf_loaded:
plotting.adjust_axes_height(self.cf_ax,
max_value=np.max(self.cf),
min_value=np.min(self.cf))
self.thresholdMarker = ThresholdMarker(self.cf_ax)
# Plot espectrogram
plotting.plot_specgram(self.specgram_ax, self.signal, self.fs,
nfft=self.specgram_windowlen,
noverlap=self.specgram_noverlap,
window=self.specgram_window)
# Set the span selector
self.selector.fs = self.fs
self.selector.set_active(False)
self.selector.set_selection_limits(self.xmin, self.xmax)
# Set the playback marker
self.playback_marker = PlayBackMarker(self.fig, self)
# Set the initial xlimits
self.set_xlim(0, step)
self.subplots_adjust()
# Set event markers
self.eventMarkers = {}
for event in self.document.record.events:
self.create_event(event)
# Now activate selector again on minimap
self.minimap.minimapSelector.set(visible=True)
self.minimap.draw()
