def new_window(self, name=None, title=None, is_image=False):
"""Creates a new window and returns the index into the **windows** list
for the new window.
"""
new_win = PlotWindow(
is_image=is_image,
size=(self.prefs.window_width, self.prefs.window_height),
bgcolor=self.prefs.bgcolor,
image_default_origin=self.prefs.image_default_origin,
)
new_win.data = self.data
new_win.get_container().data = self.data
new_win.session = self
if title is not None:
new_win.set_title(title)
elif name != None:
new_win.set_title(name)
else:
new_win.set_title(self.prefs.default_window_name)
self.windows.append(new_win)
if name != None:
self.window_map[name] = new_win
return len(self.windows)-1
def show_plot_window(self):
"""Creates the main window (EEG and FFT plots) from plot_window.py.
"""
self.plot_window = QtWidgets.QMainWindow()
self.ui = PlotWindow()
self.ui.setup_ui(self.plot_window)
self.plot_window.setWindowFlags(QtCore.Qt.Window)
self.plot_window.show()
app.aboutToQuit.connect(self.close_threads)
def create_plot_types(names):
for name in names:
fname = '{}_plot.png'.format(name)
print("*** creating figure {!r} for type {!r} ***".format(fname, name))
plot = all_examples[name]()
window = PlotWindow(plot=plot)
window.edit_traits()
save_plot(window.container, fname)
def create_plot_types(names):
for name in names:
fname = '{}_plot.png'.format(name)
print("*** creating figure {!r} for type {!r} ***".format(fname, name))
plot = all_examples[name]()
window = PlotWindow(plot=plot)
window.edit_traits()
save_plot(window.container, fname)
def show(self):
"""
Creates and displays a plot window, or activates it
(gives it focus) if it has already been created.
"""
if self._window and not self._window.has_exit:
self._window.activate()
else:
self._win_args['visible'] = True
self.axes.reset_resources()
self._window = PlotWindow(self, **self._win_args)
def __init__(self, config, out_file_name, parent=None):
super(ViewPSD, self).__init__(parent)
self.config = config
self.out_file_name = out_file_name
self.plot_window = PlotWindow()
self.plot_window.closed.connect(self.stop_view_psd)
self.plot_window.show()
self.plot_flg = False
self.plot_ready[list].connect(self.plot)
def __init__(self, labels, clusterProfiles, distanceMatrix, plot_stretching=None, show_toolbar=False, parent=None):
PlotWindow.__init__(self, 2, plot_stretching, show_toolbar, parent)
self.setWindowTitle('Cluster profiles')
mask1 = numpy.isfinite(distanceMatrix)[0]
mask2 = numpy.isfinite(distanceMatrix)[:,0]
valid_mask = numpy.logical_and(mask1, mask2)
valid_indices = numpy.arange(valid_mask.shape[0])[valid_mask]
self.__labels = []
for i in valid_indices:
self.__labels.append(labels[i])
self.__clusterProfiles = clusterProfiles[valid_mask]
self.__distanceMatrix = distanceMatrix[valid_mask][:,valid_mask]
self.__create_distance_heatmap_plot()
class Controller:
"""Controller class for slave QMainWindows. Used for expandability in case
the user wishes to create additional windows for the program (ex: home
window).
"""
def show_plot_window(self):
"""Creates the main window (EEG and FFT plots) from plot_window.py.
"""
self.plot_window = QtWidgets.QMainWindow()
self.ui = PlotWindow()
self.ui.setup_ui(self.plot_window)
self.plot_window.setWindowFlags(QtCore.Qt.Window)
self.plot_window.show()
app.aboutToQuit.connect(self.close_threads)
def close_threads(self):
"""Helper function that closes all running threads when the application
is about to quit.
"""
self.ui.close_threads()
def show(self):
"""
Creates and displays a plot window, or activates it
(gives it focus) if it has already been created.
"""
if self._window and not self._window.has_exit:
self._window.activate()
else:
self._win_args['visible'] = True
self.axes.reset_resources()
self._window = PlotWindow(self, **self._win_args)
def plotResults(directory):
np.set_printoptions(linewidth=150)
plt.rc('text', usetex=True)
plt.rc('font', family='serif')
global xtitles, vtitles, etitles, imu_titles, colors, data, pw, plotCov
xtitles = ['$p_x$', '$p_y$', '$p_z$', '$q_w$', '$q_x$', '$q_y$', '$q_z$']
vtitles = ['$v_x$', '$v_y$', '$v_z$']
etitles = ['$\phi$', r'$\theta$', '$\psi$']
imu_titles = [
r"$acc_x$", r"$acc_y$", r"$acc_z$", r"$\omega_x$", r"$\omega_y$",
r"$\omega_z$"
]
colors = [
'#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b',
'#e377c2', '#7f7f7f', '#bcbd22', '#17becf'
]
plotCov = True
data = Log(directory)
pw = PlotWindow()
plotPosition()
plotPosition2d()
plotVelocity()
plotAttitude()
plotEuler()
plotLla()
plotIMU()
plotImuBias()
plotZVRes()
plotBaroRes()
plotRangeRes()
plotGnssRes()
pw.show()
def show_spec_layer(self, title, data):
plot = PlotWindow(title)
plt.sca(plot.axis)
plt.imshow(data, origin='lower')
plt.subplots_adjust(top=0.975, bottom=0.025, left=0.025, right=0.975)
plt.draw()
plot.setWindowFlag(Qt.WindowStaysOnTopHint, False)
plot.show()
padding = 32
display = QApplication.desktop()
current_screen = display.screenNumber(self.view)
geom = display.screenGeometry(current_screen)
width = geom.width() - 2 * padding
height = geom.height() - 2 * padding
plot.setGeometry(geom.left() + padding, geom.top() + padding, width, height)
plt.close()
def save(self, outfile=None, format='', size=(600, 500)):
self.outfile = outfile
self.format = format
self.size = size
self.screenshot_requested = True
if not self._plot._window or self._plot._window.has_exit:
self._plot._win_args['visible'] = False
self._plot._win_args['width'] = size[0]
self._plot._win_args['height'] = size[1]
self._plot.axes.reset_resources()
self._plot._window = PlotWindow(self._plot, **self._plot._win_args)
self.invisibleMode = True
if self.outfile is None:
self.outfile = self._create_unique_path()
print(self.outfile)
def plot_pixel_sums(self, axis, label):
plot = PlotWindow(f'{self.spec.id} {label} Sum')
plt.sca(plot.axis)
science = self.spec.science.sum(axis=axis)
contamination = self.spec.contamination.sum(axis=axis)
plt.plot(contamination, alpha=0.6, label='Contamination')
plt.plot(science + contamination, alpha=0.6, label='Original')
plt.plot(science, label='Decontaminated')
plt.title(f'Object ID: {self.spec.id}')
plt.xlabel(f'Pixel {label}')
plt.ylabel(f'{label} Sum')
plt.legend()
plt.draw()
plot.show()
plot.adjustSize()
plt.close()
def _plot(self, dither, detector):
if self._data_series == 0:
return
plot = PlotWindow(f"object {self._object_id} detector: {dither}.{detector}")
spec = self._inspector.collection.get_spectrum(dither, detector, self._object_id)
dispersion_axis = spec.solution.dispersion_orientation()
plot_flux = self._y_type == PlotSelector.Y_FLUX
plot_wavelength = self._x_type == PlotSelector.X_WAV
if dispersion_axis == 0:
pixels = spec.x_offset + np.arange(0, spec.science.shape[1])
wavelengths = spec.solution.compute_wavelength(pixels)
else:
pixels = spec.y_offset + np.arange(0, spec.science.shape[0])
wavelengths = spec.solution.compute_wavelength(pixels)
min_wav, max_wav = 12400, 18600
short_wav_end = np.argmin(np.fabs(wavelengths - min_wav))
long_wav_end = np.argmin(np.fabs(wavelengths - max_wav))
i_min = min(short_wav_end, long_wav_end)
i_max = max(short_wav_end, long_wav_end)
x_values = wavelengths[i_min: i_max] if plot_wavelength else pixels[i_min: i_max]
# determine and set the limits of the x-axis
if plot_wavelength and plot_flux:
plot.axis.set_xlim((min_wav, max_wav))
elif plot_flux and not plot_wavelength:
short_wav_end = np.argmin(np.fabs(wavelengths - min_wav))
long_wav_end = np.argmin(np.fabs(wavelengths - max_wav))
x_min = min(pixels[short_wav_end], pixels[long_wav_end])
x_max = max(pixels[short_wav_end], pixels[long_wav_end])
plot.axis.set_xlim((x_min, x_max))
zeroth_mask = np.sum(spec.mask & flag['ZERO'], axis=dispersion_axis)
if self._data_series & PlotSelector.S_ORIG == PlotSelector.S_ORIG:
if plot_flux:
uncalibrated = np.sum(spec.science + spec.contamination, axis=dispersion_axis)
y_values = self._calibrate_spectrum(dither, uncalibrated, wavelengths)
else:
y_values = np.sum(spec.science + spec.contamination, axis=dispersion_axis)
y_values = np.ma.masked_where(zeroth_mask != 0, y_values)
plot.axis.plot(x_values, y_values[i_min: i_max], label='original spectrum', color='k', linewidth=0.5,
alpha=0.7)
if self._data_series & PlotSelector.S_CONTAM == PlotSelector.S_CONTAM:
if plot_flux:
y_values = self._calibrate_spectrum(dither, spec.contamination.sum(dispersion_axis), wavelengths)
else:
y_values = spec.contamination.sum(dispersion_axis)
plot.axis.plot(x_values, y_values[i_min: i_max], label='contamination', color='g', linewidth=0.75,
alpha=0.8)
if self._data_series & PlotSelector.S_DECON == PlotSelector.S_DECON:
if plot_flux:
y_values_unmasked = self._calibrate_spectrum(dither, spec.science.sum(dispersion_axis), wavelengths)
else:
y_values_unmasked = spec.science.sum(dispersion_axis)
y_values = np.ma.masked_where(zeroth_mask != 0, y_values_unmasked)
plot.axis.plot(x_values, y_values[i_min: i_max], label='decontaminated spectrum', color='b', linewidth=0.9)
if self._data_series & PlotSelector.S_MODEL == PlotSelector.S_MODEL:
model = self._inspector.collection.get_model(dither, detector, self._object_id, order=1)
if model is not None:
if plot_flux:
y_values = self._calibrate_spectrum(dither, model.pixels.sum(dispersion_axis), wavelengths)
else:
y_values = model.pixels.sum(dispersion_axis)
plot.axis.plot(x_values, y_values[i_min: i_max], label='model spectrum', color='r', linewidth=0.9,
alpha=0.9)
# plot the J and H band fluxes if the plot shows flux vs wavelength
if plot_wavelength and plot_flux:
info = self._inspector.location_tables.get_info(self._object_id)
j_microjansky = utils.mag_to_fnu(info.jmag, zero_point=22)
h_microjansky = utils.mag_to_fnu(info.hmag, zero_point=22)
j_fnu = utils.mjy_to_angstrom(j_microjansky, J_WAV)
h_fnu = utils.mjy_to_angstrom(h_microjansky, H_WAV)
plot.axis.scatter(J_WAV, j_fnu, color='r', label='J and H band fluxes')
plot.axis.scatter(H_WAV, h_fnu, color='r')
x_label = r'Wavelength $\rm (\AA)$' if self._x_type == PlotSelector.X_WAV else 'Pixel'
y_label = r'Flux ($\rm erg/s/cm^2/\AA$)' if self._y_type == PlotSelector.Y_FLUX else 'Electrons / second'
plot.axis.set_xlabel(x_label)
plot.axis.set_ylabel(y_label)
plot.axis.legend()
# set the descriptor; a string in the format: id.dither.detector.data_series.y_type.x_type
plot.descriptor = f'{self._object_id}.{dither}.{detector}.{self._data_series}.{self._y_type}.{self._x_type}'
return plot
def addGraph(self):
self.parent.readCfg(self.parent.config_path, last=False)
self.layout.addWidget(PlotWindow(self))
self.layout.addWidget(self.button_add_graph)
def __init__(self):
super(MainWindow, self).__init__()
self.setupUi(self)
self.setWindowTitle("USRP B210 信号采样")
self.setWindowIcon(QIcon("signal_app_24.png"))
self.resize(1280, 720)
self.plot_win = PlotWindow()
# qss = "QWidget#MainWindow{background-color:red;}"
# qss = "QWidget#MainWindow{border-image:url(signal_app_24.png);}"
# self.setStyleSheet(qss)
self.home_dir = pjoin(os.path.expanduser("~"), ".uhd_ui")
self.config_path = pjoin(self.home_dir, "config.json")
self.CONFIG = {}
self.config = Config()
self.config_keys = [
"gnu_radio_path", "save_path", "fc", "fs", "stop_fc",
"sample_interval", "sample_nums", "sample_times"
]
self.view_spec_config = Config()
self.view_spec_config.save_path = self.home_dir
self.view_spec_config.sample_times = 1
self.view_spec_config.sample_nums = 1 * 1024 * 1024
self.sample_thread = None # SampleThread()
self.initial()
self.save_path_btn.clicked.connect(self.open_folder)
self.gnu_radio_btn.clicked.connect(self.open_gnu_folder)
self.ok_btn.clicked.connect(self.sample_thread_start)
self.ok_btn.setToolTip("开始采集信号")
self.plot_btn.clicked.connect(self.plot_psd_start)
self.plot_win.closed.connect(self.plot_psd_stop)
self.stop_btn.setEnabled(False)
self.stop_btn.setToolTip("停止当前信号采样")
self.stop_btn.clicked.connect(self.stop_current_sampling)
self.advance_groupBox.hide()
self.advance_mode = False
self.advance_mode_btn.setText("打开高级模式")
self.advance_mode_btn.clicked.connect(self.set_advance_mode)
self.gnu_radio_path_edit.textChanged[str].connect(
self.new_gnu_radio_path)
self.save_path_edit.textChanged[str].connect(self.new_save_path)
self.fc_spinBox.valueChanged[int].connect(self.new_fc_val)
self.fc_comboBox.currentIndexChanged[int].connect(self.new_fc_cbox)
self.stop_fc_spinBox.valueChanged[int].connect(self.new_stop_fc_val)
self.stop_fc_comboBox.currentIndexChanged[int].connect(
self.new_stop_fc_cbox)
self.fs_spinBox.valueChanged[int].connect(self.new_fs_val)
self.fs_comboBox.currentIndexChanged[int].connect(self.new_fs_cbox)
self.sample_interval_spinBox.valueChanged[int].connect(
self.new_sample_interval_val)
self.sample_interval_comboBox.currentIndexChanged[int].connect(
self.new_sample_interval_cbox)
self.sample_nums_spinBox.valueChanged[int].connect(
self.new_n_sample_val)
self.sample_nums_comboBox.currentIndexChanged[int].connect(
self.new_n_sample_cbox)
self.sample_times_spinBox.valueChanged[int].connect(
self.new_sample_times)
self.config_changed.connect(self.update_config)
class PygletPlot(object):
"""
Plot Examples
=============
See examples/advaned/pyglet_plotting.py for many more examples.
>>> from sympy.plotting.pygletplot import PygletPlot as Plot
>>> from sympy.abc import x, y, z
>>> Plot(x*y**3-y*x**3)
[0]: -x**3*y + x*y**3, 'mode=cartesian'
>>> p = Plot()
>>> p[1] = x*y
>>> p[1].color = z, (0.4,0.4,0.9), (0.9,0.4,0.4)
>>> p = Plot()
>>> p[1] = x**2+y**2
>>> p[2] = -x**2-y**2
Variable Intervals
==================
The basic format is [var, min, max, steps], but the
syntax is flexible and arguments left out are taken
from the defaults for the current coordinate mode:
>>> Plot(x**2) # implies [x,-5,5,100]
[0]: x**2, 'mode=cartesian'
>>> Plot(x**2, [], []) # [x,-1,1,40], [y,-1,1,40]
[0]: x**2, 'mode=cartesian'
>>> Plot(x**2-y**2, [100], [100]) # [x,-1,1,100], [y,-1,1,100]
[0]: x**2 - y**2, 'mode=cartesian'
>>> Plot(x**2, [x,-13,13,100])
[0]: x**2, 'mode=cartesian'
>>> Plot(x**2, [-13,13]) # [x,-13,13,100]
[0]: x**2, 'mode=cartesian'
>>> Plot(x**2, [x,-13,13]) # [x,-13,13,10]
[0]: x**2, 'mode=cartesian'
>>> Plot(1*x, [], [x], mode='cylindrical')
... # [unbound_theta,0,2*Pi,40], [x,-1,1,20]
[0]: x, 'mode=cartesian'
Coordinate Modes
================
Plot supports several curvilinear coordinate modes, and
they independent for each plotted function. You can specify
a coordinate mode explicitly with the 'mode' named argument,
but it can be automatically determined for Cartesian or
parametric plots, and therefore must only be specified for
polar, cylindrical, and spherical modes.
Specifically, Plot(function arguments) and Plot[n] =
(function arguments) will interpret your arguments as a
Cartesian plot if you provide one function and a parametric
plot if you provide two or three functions. Similarly, the
arguments will be interpreted as a curve if one variable is
used, and a surface if two are used.
Supported mode names by number of variables:
1: parametric, cartesian, polar
2: parametric, cartesian, cylindrical = polar, spherical
>>> Plot(1, mode='spherical') # doctest: +SKIP
Calculator-like Interface
=========================
>>> p = Plot(visible=False)
>>> f = x**2
>>> p[1] = f
>>> p[2] = f.diff(x)
>>> p[3] = f.diff(x).diff(x) # doctest: +SKIP
>>> p # doctest: +SKIP
[1]: x**2, 'mode=cartesian'
[2]: 2*x, 'mode=cartesian'
[3]: 2, 'mode=cartesian'
>>> p.show()
>>> p.clear()
>>> p
<blank plot>
>>> p[1] = x**2+y**2
>>> p[1].style = 'solid'
>>> p[2] = -x**2-y**2
>>> p[2].style = 'wireframe'
>>> p[1].color = z, (0.4,0.4,0.9), (0.9,0.4,0.4)
>>> p[1].style = 'both'
>>> p[2].style = 'both'
>>> p.close()
Plot Window Keyboard Controls
=============================
Screen Rotation:
X,Y axis Arrow Keys, A,S,D,W, Numpad 4,6,8,2
Z axis Q,E, Numpad 7,9
Model Rotation:
Z axis Z,C, Numpad 1,3
Zoom: R,F, PgUp,PgDn, Numpad +,-
Reset Camera: X, Numpad 5
Camera Presets:
XY F1
XZ F2
YZ F3
Perspective F4
Sensitivity Modifier: SHIFT
Axes Toggle:
Visible F5
Colors F6
Close Window: ESCAPE
=============================
"""
#python 2.5 does not support class decorators so use this workaround
_doctest_depends_on = {'modules': ('pyglet',)}
@doctest_depends_on(modules=('pyglet',))
def __init__(self, *fargs, **win_args):
"""
Positional Arguments
====================
Any given positional arguments are used to
initialize a plot function at index 1. In
other words...
>>> from sympy.plotting.pygletplot import PygletPlot as Plot
>>> from sympy.core import Symbol
>>> from sympy.abc import x
>>> p = Plot(x**2, visible=False)
...is equivalent to...
>>> p = Plot(visible=False)
>>> p[1] = x**2
Note that in earlier versions of the plotting
module, you were able to specify multiple
functions in the initializer. This functionality
has been dropped in favor of better automatic
plot plot_mode detection.
Named Arguments
===============
axes
An option string of the form
"key1=value1; key2 = value2" which
can use the following options:
style = ordinate
none OR frame OR box OR ordinate
stride = 0.25
val OR (val_x, val_y, val_z)
overlay = True (draw on top of plot)
True OR False
colored = False (False uses Black,
True uses colors
R,G,B = X,Y,Z)
True OR False
label_axes = False (display axis names
at endpoints)
True OR False
visible = True (show immediately
True OR False
The following named arguments are passed as
arguments to window initialization:
antialiasing = True
True OR False
ortho = False
True OR False
invert_mouse_zoom = False
True OR False
"""
self._win_args = win_args
self._window = None
self._render_lock = RLock()
self._functions = {}
self._pobjects = []
self._screenshot = ScreenShot(self)
axe_options = parse_option_string(win_args.pop('axes', ''))
self.axes = PlotAxes(**axe_options)
self._pobjects.append(self.axes)
self[0] = fargs
if win_args.get('visible', True):
self.show()
## Window Interfaces
def show(self):
"""
Creates and displays a plot window, or activates it
(gives it focus) if it has already been created.
"""
if self._window and not self._window.has_exit:
self._window.activate()
else:
self._win_args['visible'] = True
self.axes.reset_resources()
if hasattr(self, '_doctest_depends_on'):
self._win_args['runfromdoctester'] = True
self._window = PlotWindow(self, **self._win_args)
def close(self):
"""
Closes the plot window.
"""
if self._window:
self._window.close()
def saveimage(self, outfile=None, format='', size=(600, 500)):
"""
Saves a screen capture of the plot window to an
image file.
If outfile is given, it can either be a path
or a file object. Otherwise a png image will
be saved to the current working directory.
If the format is omitted, it is determined from
the filename extension.
"""
self._screenshot.save(outfile, format, size)
## Function List Interfaces
def clear(self):
"""
Clears the function list of this plot.
"""
self._render_lock.acquire()
self._functions = {}
self.adjust_all_bounds()
self._render_lock.release()
def __getitem__(self, i):
"""
Returns the function at position i in the
function list.
"""
return self._functions[i]
def __setitem__(self, i, args):
"""
Parses and adds a PlotMode to the function
list.
"""
if not (isinstance(i, (int, Integer)) and i >= 0):
raise ValueError("Function index must "
"be an integer >= 0.")
if isinstance(args, PlotObject):
f = args
else:
if (not is_sequence(args)) or isinstance(args, GeometryEntity):
args = [args]
if len(args) == 0:
return # no arguments given
kwargs = dict(bounds_callback=self.adjust_all_bounds)
f = PlotMode(*args, **kwargs)
if f:
self._render_lock.acquire()
self._functions[i] = f
self._render_lock.release()
else:
raise ValueError("Failed to parse '%s'."
% ', '.join(str(a) for a in args))
def __delitem__(self, i):
"""
Removes the function in the function list at
position i.
"""
self._render_lock.acquire()
del self._functions[i]
self.adjust_all_bounds()
self._render_lock.release()
def firstavailableindex(self):
"""
Returns the first unused index in the function list.
"""
i = 0
self._render_lock.acquire()
while i in self._functions:
i += 1
self._render_lock.release()
return i
def append(self, *args):
"""
Parses and adds a PlotMode to the function
list at the first available index.
"""
self.__setitem__(self.firstavailableindex(), args)
def __len__(self):
"""
Returns the number of functions in the function list.
"""
return len(self._functions)
def __iter__(self):
"""
Allows iteration of the function list.
"""
return self._functions.itervalues()
def __repr__(self):
return str(self)
def __str__(self):
"""
Returns a string containing a new-line separated
list of the functions in the function list.
"""
s = ""
if len(self._functions) == 0:
s += "<blank plot>"
else:
self._render_lock.acquire()
s += "\n".join(["%s[%i]: %s" % ("", i, str(self._functions[i]))
for i in self._functions])
self._render_lock.release()
return s
def adjust_all_bounds(self):
self._render_lock.acquire()
self.axes.reset_bounding_box()
for f in self._functions:
self.axes.adjust_bounds(self._functions[f].bounds)
self._render_lock.release()
def wait_for_calculations(self):
sleep(0)
self._render_lock.acquire()
for f in self._functions:
a = self._functions[f]._get_calculating_verts
b = self._functions[f]._get_calculating_cverts
while a() or b():
sleep(0)
self._render_lock.release()
def new_window(self, name=None, title=None, is_image=False):
"""Creates a new window and returns the index into the **windows** list
for the new window.
"""
new_win = PlotWindow(
is_image=is_image,
size=(self.prefs.window_width, self.prefs.window_height),
bgcolor=self.prefs.bgcolor,
image_default_origin=self.prefs.image_default_origin,
)
new_win.data = self.data
new_win.get_container().data = self.data
new_win.session = self
if title is not None:
new_win.set_title(title)
elif name != None:
new_win.set_title(name)
else:
new_win.set_title(self.prefs.default_window_name)
self.windows.append(new_win)
if name != None:
self.window_map[name] = new_win
return len(self.windows) - 1
class ViewPSD(QObject): #
view_finished = pyqtSignal()
plot_ready = pyqtSignal(list)
def __init__(self, config, out_file_name, parent=None):
super(ViewPSD, self).__init__(parent)
self.config = config
self.out_file_name = out_file_name
self.plot_window = PlotWindow()
self.plot_window.closed.connect(self.stop_view_psd)
self.plot_window.show()
self.plot_flg = False
self.plot_ready[list].connect(self.plot)
def __del__(self):
self.plot_window.close()
def update_config(self, config):
self.config = config
def plot(self, data):
print("-- plot --")
self.plot_window.fc = self.config.fc
self.plot_window.fs = self.config.fs
self.plot_window.sig = data
# if not self.plot_window.t.isActive():
if self.plot_flg:
self.plot_window.t.start(50)
def plot_psd_process(self):
self.plot_flg = True
bat = pjoin(self.config.gnu_radio_path, "run_gr.bat")
rx_py = pjoin(self.config.gnu_radio_path, "uhd_rx_cfile.py")
output_path = pjoin(self.config.save_path, self.out_file_name)
print(
f"{bat} {rx_py} {output_path} -s -f {self.config.fc} -r {self.config.fs} -N {self.config.sample_nums}"
)
print("查看频谱模式")
while self.plot_flg:
print("=========================")
os.spawnl(
os.P_WAIT, bat,
f"{bat} {rx_py} {output_path} -s -f {self.config.fc} -r {self.config.fs} -N {self.config.sample_nums}"
)
with open(output_path, "rb") as f:
buff = f.read()
tmp = np.frombuffer(buff, np.int16) / 32768
d_i, d_q = np.reshape(tmp, (-1, 2)).T
data = d_i + 1j * d_q
# if not self.plot_flg:
# break
self.plot_ready.emit(list(data))
def stop_view_psd(self):
print("-- stop_view_psd --")
self.plot_flg = False
self.view_finished.emit()
'scatter': get_scatter_plot,
'cmap_scatter': get_cmap_scatter_plot,
'vsize_scatter': get_variable_size_scatter_plot,
'jitter': get_jitter_plot,
'candle': get_candle_plot,
'errorbar': get_errorbar_plot,
'filled_line': get_filled_line_plot,
'image': get_image_plot,
'image_from_file': get_image_from_file,
'cmap_image': get_cmap_image_plot,
'contour_line': get_contour_line_plot,
'contour_poly': get_contour_poly_plot,
'polygon': get_polygon_plot,
'bar': get_bar_plot,
'quiver': get_quiver_plot,
'polar': get_polar_plot,
'multiline': get_multiline_plot,
}
if __name__ == '__main__':
name = 'line'
factory_func = all_examples[name]
plot = factory_func()
window = PlotWindow(plot=plot)
ui = window.edit_traits()
filename = '{}_plot.png'.format(name)
save_plot(window.container, filename)
class Plot(object):
"""
Plot Examples
=============
See examples/plotting.py for many more examples.
>>> from sympy import symbols, Plot
>>> x,y,z = symbols('xyz')
>>> Plot(x*y**3-y*x**3)
>>> p = Plot()
>>> p[1] = x*y
>>> p[1].color = z, (0.4,0.4,0.9), (0.9,0.4,0.4)
>>> p = Plot()
>>> p[1] = x**2+y**2
>>> p[2] = -x**2-y**2
Variable Intervals
==================
The basic format is [var, min, max, steps], but the
syntax is flexible and arguments left out are taken
from the defaults for the current coordinate mode:
>>> Plot(x**2) # implies [x,-5,5,100]
>>> Plot(x**2, [], []) # [x,-1,1,40], [y,-1,1,40]
>>> Plot(x**2-y**2, [100], [100]) # [x,-1,1,100], [y,-1,1,100]
>>> Plot(x**2, [x,-13,13,100])
>>> Plot(x**2, [-13,13]) # [x,-13,13,100]
>>> Plot(x**2, [x,-13,13]) # [x,-13,13,100]
>>> Plot(1*x, [], [x], mode='cylindrical')
... # [unbound_theta,0,2*Pi,40], [x,-1,1,20]
Coordinate Modes
================
Plot supports several curvilinear coordinate modes, and
they independent for each plotted function. You can specify
a coordinate mode explicitly with the 'mode' named argument,
but it can be automatically determined for cartesian or
parametric plots, and therefore must only be specified for
polar, cylindrical, and spherical modes.
Specifically, Plot(function arguments) and Plot[n] =
(function arguments) will interpret your arguments as a
cartesian plot if you provide one function and a parametric
plot if you provide two or three functions. Similarly, the
arguments will be interpreted as a curve is one variable is
used, and a surface if two are used.
Supported mode names by number of variables:
1: parametric, cartesian, polar
2: parametric, cartesian, cylindrical = polar, spherical
>>> Plot(1, mode='spherical')
Calculator-like Interface
=========================
>>> p = Plot(visible=False)
>>> f = x**2
>>> p[1] = f
>>> p[2] = f.diff(x)
>>> p[3] = f.diff(x).diff(x)
>>> p
[1]: x**2, 'mode=cartesian'
[2]: 2*x, 'mode=cartesian'
[3]: 2, 'mode=cartesian'
>>> p.show()
>>> p.clear()
>>> p
<blank plot>
>>> p[1] = x**2+y**2
>>> p[1].style = 'solid'
>>> p[2] = -x**2-y**2
>>> p[2].style = 'wireframe'
>>> p[1].color = z, (0.4,0.4,0.9), (0.9,0.4,0.4)
>>> p[1].style = 'both'
>>> p[2].style = 'both'
>>> p.close()
Plot Window Keyboard Controls
=============================
Screen Rotation:
X,Y axis Arrow Keys, A,S,D,W, Numpad 4,6,8,2
Z axis Q,E, Numpad 7,9
Model Rotation:
Z axis Z,C, Numpad 1,3
Zoom: R,F, PgUp,PgDn, Numpad +,-
Reset Camera: X, Numpad 5
Camera Presets:
XY F1
XZ F2
YZ F3
Perspective F4
Sensitivity Modifier: SHIFT
Axes Toggle:
Visible F5
Colors F6
Close Window: ESCAPE
=============================
"""
def __init__(self, *fargs, **win_args):
"""
Positional Arguments
====================
Any given positional arguments are used to
initialize a plot function at index 1. In
other words...
>>> from sympy.core import Symbol
>>> x = Symbol('x')
>>> p = Plot(x**2, visible=False)
...is equivalent to...
>>> p = Plot(visible=False)
>>> p[1] = x**2
Note that in earlier versions of the plotting
module, you were able to specify multiple
functions in the initializer. This functionality
has been dropped in favor of better automatic
plot plot_mode detection.
Named Arguments
===============
axes
An option string of the form
"key1=value1; key2 = value2" which
can use the following options:
style = ordinate
none OR frame OR box OR ordinate
stride = 0.25
val OR (val_x, val_y, val_z)
overlay = True (draw on top of plot)
True OR False
colored = False (False uses Black,
True uses colors
R,G,B = X,Y,Z)
True OR False
label_axes = False (display axis names
at endpoints)
True OR False
visible = True (show immediately
True OR False
The following named arguments are passed as
arguments to window initialization:
antialiasing = True
True OR False
ortho = False
True OR False
invert_mouse_zoom = False
True OR False
"""
self._win_args = win_args
self._window = None
self._render_lock = RLock()
self._functions = {}
self._pobjects = []
self._screenshot = ScreenShot(self)
axe_options = parse_option_string(win_args.pop('axes', ''))
self.axes = PlotAxes(**axe_options)
self._pobjects.append(self.axes)
self[0] = fargs
if win_args.get('visible', True):
self.show()
## Window Interfaces
def show(self):
"""
Creates and displays a plot window, or activates it
(gives it focus) if it has already been created.
"""
if self._window and not self._window.has_exit:
self._window.activate()
else:
self._win_args['visible'] = True
self.axes.reset_resources()
self._window = PlotWindow(self, **self._win_args)
def close(self):
"""
Closes the plot window.
"""
if self._window:
self._window.close()
def saveimage(self, outfile=None, format='', size=(600, 500)):
"""
Saves a screen capture of the plot window to an
image file.
If outfile is given, it can either be a path
or a file object. Otherwise a png image will
be saved to the current working directory.
If the format is omitted, it is determined from
the filename extension.
"""
self._screenshot.save(outfile, format, size)
## Function List Interfaces
def clear(self):
"""
Clears the function list of this plot.
"""
self._render_lock.acquire()
self._functions = {}
self.adjust_all_bounds()
self._render_lock.release()
def __getitem__(self, i):
"""
Returns the function at position i in the
function list.
"""
return self._functions[i]
def __setitem__(self, i, args):
"""
Parses and adds a PlotMode to the function
list.
"""
if not (isinstance(i, (int, Integer)) and i >= 0):
raise ValueError("Function index must " "be an integer >= 0.")
if isinstance(args, PlotObject):
f = args
else:
if (not isinstance(args, (list, tuple))) or isinstance(
args, GeometryEntity):
args = [args]
if len(args) == 0:
return # no arguments given
kwargs = dict(bounds_callback=self.adjust_all_bounds)
f = PlotMode(*args, **kwargs)
if f:
self._render_lock.acquire()
self._functions[i] = f
self._render_lock.release()
else:
raise ValueError("Failed to parse '%s'." %
', '.join(str(a) for a in args))
def __delitem__(self, i):
"""
Removes the function in the function list at
position i.
"""
self._render_lock.acquire()
del self._functions[i]
self.adjust_all_bounds()
self._render_lock.release()
def firstavailableindex(self):
"""
Returns the first unused index in the function list.
"""
i = 0
self._render_lock.acquire()
while i in self._functions:
i += 1
self._render_lock.release()
return i
def append(self, *args):
"""
Parses and adds a PlotMode to the function
list at the first available index.
"""
self.__setitem__(self.firstavailableindex(), args)
def __len__(self):
"""
Returns the number of functions in the function list.
"""
return len(self._functions)
def __iter__(self):
"""
Allows iteration of the function list.
"""
return self._functions.itervalues()
def __repr__(self):
return str(self)
def __str__(self):
"""
Returns a string containing a new-line separated
list of the functions in the function list.
"""
s = ""
if len(self._functions) == 0:
s += "<blank plot>"
else:
self._render_lock.acquire()
s += "\n".join([
"%s[%i]: %s" % ("", i, str(self._functions[i]))
for i in self._functions
])
self._render_lock.release()
return s
def adjust_all_bounds(self):
self._render_lock.acquire()
self.axes.reset_bounding_box()
for f in self._functions:
self.axes.adjust_bounds(self._functions[f].bounds)
self._render_lock.release()
def wait_for_calculations(self):
sleep(0)
self._render_lock.acquire()
for f in self._functions:
a = self._functions[f]._get_calculating_verts
b = self._functions[f]._get_calculating_cverts
while a() or b():
sleep(0)
self._render_lock.release()
class MainWindow(QMainWindow, Ui_MainWindow):
config_changed = pyqtSignal()
def __init__(self):
super(MainWindow, self).__init__()
self.setupUi(self)
self.setWindowTitle("USRP B210 信号采样")
self.setWindowIcon(QIcon("signal_app_24.png"))
self.resize(1280, 720)
self.plot_win = PlotWindow()
# qss = "QWidget#MainWindow{background-color:red;}"
# qss = "QWidget#MainWindow{border-image:url(signal_app_24.png);}"
# self.setStyleSheet(qss)
self.home_dir = pjoin(os.path.expanduser("~"), ".uhd_ui")
self.config_path = pjoin(self.home_dir, "config.json")
self.CONFIG = {}
self.config = Config()
self.config_keys = [
"gnu_radio_path", "save_path", "fc", "fs", "stop_fc",
"sample_interval", "sample_nums", "sample_times"
]
self.view_spec_config = Config()
self.view_spec_config.save_path = self.home_dir
self.view_spec_config.sample_times = 1
self.view_spec_config.sample_nums = 1 * 1024 * 1024
self.sample_thread = None # SampleThread()
self.initial()
self.save_path_btn.clicked.connect(self.open_folder)
self.gnu_radio_btn.clicked.connect(self.open_gnu_folder)
self.ok_btn.clicked.connect(self.sample_thread_start)
self.ok_btn.setToolTip("开始采集信号")
self.plot_btn.clicked.connect(self.plot_psd_start)
self.plot_win.closed.connect(self.plot_psd_stop)
self.stop_btn.setEnabled(False)
self.stop_btn.setToolTip("停止当前信号采样")
self.stop_btn.clicked.connect(self.stop_current_sampling)
self.advance_groupBox.hide()
self.advance_mode = False
self.advance_mode_btn.setText("打开高级模式")
self.advance_mode_btn.clicked.connect(self.set_advance_mode)
self.gnu_radio_path_edit.textChanged[str].connect(
self.new_gnu_radio_path)
self.save_path_edit.textChanged[str].connect(self.new_save_path)
self.fc_spinBox.valueChanged[int].connect(self.new_fc_val)
self.fc_comboBox.currentIndexChanged[int].connect(self.new_fc_cbox)
self.stop_fc_spinBox.valueChanged[int].connect(self.new_stop_fc_val)
self.stop_fc_comboBox.currentIndexChanged[int].connect(
self.new_stop_fc_cbox)
self.fs_spinBox.valueChanged[int].connect(self.new_fs_val)
self.fs_comboBox.currentIndexChanged[int].connect(self.new_fs_cbox)
self.sample_interval_spinBox.valueChanged[int].connect(
self.new_sample_interval_val)
self.sample_interval_comboBox.currentIndexChanged[int].connect(
self.new_sample_interval_cbox)
self.sample_nums_spinBox.valueChanged[int].connect(
self.new_n_sample_val)
self.sample_nums_comboBox.currentIndexChanged[int].connect(
self.new_n_sample_cbox)
self.sample_times_spinBox.valueChanged[int].connect(
self.new_sample_times)
self.config_changed.connect(self.update_config)
def resizeEvent(self, event):
print(f"new_window_size: [{self.width()}, {self.height()}]")
def closeEvent(self, event):
self.plot_win.close()
self.sample_thread.stop()
self.sample_thread.quit()
self.sample_thread.wait()
def initial(self):
def _get(s_cfg, index=0):
s_cfg = s_cfg.split()
if len(s_cfg) == 2:
try:
index = self.config.u2ix_dict[s_cfg[1]]
return s_cfg[0], index
except:
raise ValueError("配置出错！")
elif len(s_cfg) == 1:
return s_cfg[0], index
else:
raise ValueError("配置出错！")
initial_config = _config()
if not os.path.exists(self.home_dir):
os.makedirs(self.home_dir)
if not os.path.exists(self.config_path):
# self.CONFIG["gnu_radio_path"] = initial_config.gnu_radio_path
# self.CONFIG["save_path"] = initial_config.save_path
# self.CONFIG["FC"] = initial_config.fc
# self.CONFIG["FS"] = initial_config.fs
# self.CONFIG["stop_FC"] = initial_config.stop_fc
# self.CONFIG["sample_interval"] = initial_config.sample_interval
# self.CONFIG["sample_nums"] = initial_config.sample_nums
# self.CONFIG["sample_times"] = initial_config.sample_times
for key in self.config_keys:
self.CONFIG[key] = initial_config.__getattribute__(key)
self.save_config()
self.gnu_radio_path_edit.setText(self.CONFIG["gnu_radio_path"])
self.save_path_edit.setText(self.CONFIG["save_path"])
_fc, _fc_index = _get(self.CONFIG["fc"])
self.fc_spinBox.setValue(int(_fc))
self.fc_comboBox.setCurrentIndex(_fc_index)
_fs, _fs_index = _get(self.CONFIG["fs"])
self.fs_spinBox.setValue(int(_fs))
self.fs_comboBox.setCurrentIndex(_fs_index)
_stop_fc, _stop_fc_index = _get(self.CONFIG["stop_fc"])
self.stop_fc_spinBox.setValue(int(_stop_fc))
self.stop_fc_comboBox.setCurrentIndex(_stop_fc_index)
_interval, _interval_index = _get(self.CONFIG["sample_interval"])
self.sample_interval_spinBox.setValue(int(_interval))
self.sample_interval_comboBox.setCurrentIndex(_interval_index)
_n_sample, _n_index = _get(self.CONFIG["sample_nums"])
self.sample_nums_spinBox.setValue(int(_n_sample))
self.sample_nums_comboBox.setCurrentIndex(_n_index)
self.sample_times_spinBox.setValue(int(
self.CONFIG["sample_times"]))
else:
with open(self.config_path, "r") as f:
self.CONFIG = json.load(f)
self.config_changed.emit()
for key in self.config_keys:
if key not in self.CONFIG:
self.CONFIG[key] = initial_config.__getattribute__(key)
self.gnu_radio_path_edit.setText(self.CONFIG["gnu_radio_path"])
self.save_path_edit.setText(self.CONFIG["save_path"])
_fc, _fc_index = _get(self.CONFIG["fc"])
self.fc_spinBox.setValue(int(_fc))
self.fc_comboBox.setCurrentIndex(_fc_index)
_fs, _fs_index = _get(self.CONFIG["fs"])
self.fs_spinBox.setValue(int(_fs))
self.fs_comboBox.setCurrentIndex(_fs_index)
_stop_fc, _stop_fc_index = _get(self.CONFIG["stop_fc"])
self.stop_fc_spinBox.setValue(int(_stop_fc))
self.stop_fc_comboBox.setCurrentIndex(_stop_fc_index)
_interval, _interval_index = _get(
self.CONFIG["sample_interval"])
self.sample_interval_spinBox.setValue(int(_interval))
self.sample_interval_comboBox.setCurrentIndex(_interval_index)
_n_sample, _n_index = _get(self.CONFIG["sample_nums"])
self.sample_nums_spinBox.setValue(int(_n_sample))
self.sample_nums_comboBox.setCurrentIndex(_n_index)
self.sample_times_spinBox.setValue(
int(self.CONFIG["sample_times"]))
self.update_config()
def save_config(self):
with open(self.config_path, "w") as f:
json.dump(self.CONFIG, f)
self.config_changed.emit()
def update_config(self):
def get_value(cfg, u=1000):
val, unit = cfg.split() if len(cfg.split()) > 1 else [
cfg.split()[0], ""
]
val = int(int(val) * u**self.config.u2ix_dict[unit])
return val
self.config.gnu_radio_path = self.CONFIG["gnu_radio_path"]
self.config.save_path = self.CONFIG["save_path"]
self.config.fc = get_value(self.CONFIG["fc"])
self.config.fs = get_value(self.CONFIG["fs"])
self.config.stop_fc = get_value(self.CONFIG["stop_fc"])
self.config.sample_interval = get_value(self.CONFIG["sample_interval"])
self.config.sample_nums = get_value(self.CONFIG["sample_nums"], 1024)
self.config.sample_times = int(self.CONFIG["sample_times"])
self.view_spec_config.gnu_radio_path = self.config.gnu_radio_path
self.view_spec_config.fc = self.config.fc
self.view_spec_config.fs = self.config.fs
print(f"---- config changed ----\n\
GNU Radio 安装目录:\t{self.config.gnu_radio_path} \n\
文件保存路径:\t{self.config.save_path} \n\
中心频率:\t\t{self.config.fc} \n\
采样带宽:\t\t{self.config.fs} \n\
结束频率:\t\t{self.config.stop_fc} \n\
采样间隔:\t\t{self.config.sample_interval} \n\
采样点数:\t\t{self.config.sample_nums} \n\
采样次数:\t\t{self.config.sample_times} \n")
def sample_thread_start(self):
self.textEdit.append("---- 开始采样 ----\n")
self.sample_thread = SampleThread()
self.sample_thread.one_sample_end[int,
str].connect(self.one_sample_end)
self.sample_thread.all_sample_end.connect(self.sample_thread_end)
self.sample_thread.config = self.config
# self.sample_thread.mode = 2 # test_mode
self.sample_thread.mode = 1 # test_mode
self.sample_thread.start_sample = True
self.sample_thread.start()
self.plot_btn.setEnabled(False)
self.plot_btn.setToolTip("正在采集信号, 无法查看当前频谱")
self.stop_btn.setEnabled(True)
self.ok_btn.setEnabled(False)
def one_sample_end(self, ix, output_path):
self.textEdit.append(
f"第 {ix} 次采样完成，共 {self.config.sample_times} 次，文件保存路径：{output_path}"
)
def sample_thread_end(self):
self.textEdit.append("---- 采样结束 ----\n")
# self.sample_thread.terminate()
self.sample_thread.stop()
self.sample_thread.wait()
self.sample_thread = None
self.ok_btn.setEnabled(True)
self.plot_btn.setEnabled(True)
self.plot_btn.setToolTip("查看当前频谱")
self.stop_btn.setEnabled(False)
def stop_current_sampling(self):
self.textEdit.append("---- 停止采样 ----\n")
self.stop_btn.setEnabled(False)
# self.sample_thread.terminate()
self.sample_thread.stop()
self.sample_thread.wait()
self.sample_thread = None
self.plot_btn.setEnabled(True)
self.plot_btn.setToolTip("查看当前频谱")
def plot_psd_start(self):
self.textEdit.append("---- 查看频谱 ----\n")
self.sample_thread = SampleThread()
self.sample_thread.spec_data_get[list].connect(self.plot_psd)
self.sample_thread.out_file_name = "usrp_tmp.bin"
self.sample_thread.config = self.view_spec_config
self.sample_thread.mode = 0
self.sample_thread.start_sample = True
self.sample_thread.start()
self.ok_btn.setEnabled(False)
@pyqtSlot(list)
def plot_psd(self, data):
print("-- plot spec --")
self.plot_win.show()
self.plot_win.fc = self.config.fc
self.plot_win.fs = self.config.fs
self.plot_win.sig = data
self.plot_win.t.start(50)
@pyqtSlot()
def plot_psd_stop(self):
self.textEdit.append("---- 查看频谱 ----\n")
self.sample_thread.start_plot = False
# self.sample_thread.terminate()
self.sample_thread.stop()
self.sample_thread.wait()
self.sample_thread = None
self.ok_btn.setEnabled(True)
def set_advance_mode(self):
self.advance_mode = not self.advance_mode
if self.advance_mode:
self.advance_groupBox.show()
self.advance_mode_btn.setText("退出高级模式")
self.textEdit.setText("-- 退出高级模式 --")
else:
self.advance_groupBox.hide()
self.advance_mode_btn.setText("打开高级模式")
self.textEdit.setText("-- 打开高级模式 --")
def open_folder(self):
dataPath = QtWidgets.QFileDialog.getExistingDirectory(
self, "选择文件保存路径", self.CONFIG["save_path"],
QtWidgets.QFileDialog.ShowDirsOnly)
if dataPath == "":
return
else:
self.save_path_edit.setText(dataPath)
def open_gnu_folder(self):
dataPath = QtWidgets.QFileDialog.getExistingDirectory(
self, "打开GNU Radio/bin目录", self.CONFIG["gnu_radio_path"],
QtWidgets.QFileDialog.ShowDirsOnly)
if dataPath == "":
return
else:
self.gnu_radio_path_edit.setText(dataPath)
@pyqtSlot(str)
def new_gnu_radio_path(self, path):
self.textEdit.append("gnu_path_changed: " + path)
self.CONFIG["gnu_radio_path"] = path
self.save_config()
@pyqtSlot(str)
def new_save_path(self, path):
self.textEdit.append("save_path_changed: " + path)
self.CONFIG["save_path"] = path
self.save_config()
@pyqtSlot(int)
def new_fc_val(self, val):
unit = self.config.ix2u_dict[self.fc_comboBox.currentIndex()]
new_fc = f"{int(val)} {unit}"
self.textEdit.append("FC: " + new_fc + "Hz")
self.CONFIG["fc"] = new_fc
self.save_config()
@pyqtSlot(int)
def new_fc_cbox(self, ix):
try:
unit = self.config.ix2u_dict[ix]
except KeyError:
raise ValueError("设置出错")
new_fc = f"{self.fc_spinBox.value()} {unit}"
self.textEdit.append("FC: " + new_fc + "Hz")
self.CONFIG["fc"] = new_fc
self.save_config()
@pyqtSlot(int)
def new_stop_fc_val(self, val):
unit = self.config.ix2u_dict[self.stop_fc_comboBox.currentIndex()]
new_stop_fc = f"{int(val)} {unit}"
self.textEdit.append("stop_FC: " + new_stop_fc + "Hz")
self.CONFIG["stop_fc"] = new_stop_fc
self.save_config()
@pyqtSlot(int)
def new_stop_fc_cbox(self, ix):
try:
unit = self.config.ix2u_dict[ix]
except KeyError:
raise ValueError("设置出错")
new_stop_fc = f"{self.stop_fc_spinBox.value()} {unit}"
self.textEdit.append("stop_FC: " + new_stop_fc + "Hz")
self.CONFIG["stop_fc"] = new_stop_fc
self.save_config()
@pyqtSlot(int)
def new_fs_val(self, val):
unit = self.config.ix2u_dict[self.fs_comboBox.currentIndex()]
new_fs = f"{int(val)} {unit}"
self.textEdit.append("FS: " + new_fs + "Hz")
self.CONFIG["fs"] = new_fs
self.save_config()
@pyqtSlot(int)
def new_fs_cbox(self, ix):
try:
unit = self.config.ix2u_dict[ix]
except KeyError:
raise ValueError("设置出错")
new_fs = f"{self.fs_spinBox.value()} {unit}"
self.textEdit.append("FS: " + new_fs + "Hz")
self.CONFIG["fs"] = new_fs
self.save_config()
@pyqtSlot(int)
def new_sample_interval_val(self, val):
unit = self.config.ix2u_dict[
self.sample_interval_comboBox.currentIndex()]
new_sample_interval = f"{int(val)} {unit}"
self.textEdit.append("sample_interval: " + new_sample_interval + "Hz")
self.CONFIG["sample_interval"] = new_sample_interval
self.save_config()
@pyqtSlot(int)
def new_sample_interval_cbox(self, ix):
try:
unit = self.config.ix2u_dict[ix]
except KeyError:
raise ValueError("设置出错")
new_sample_interval = f"{self.sample_interval_spinBox.value()} {unit}"
self.textEdit.append("sample_interval: " + new_sample_interval + "Hz")
self.CONFIG["sample_interval"] = new_sample_interval
self.save_config()
@pyqtSlot(int)
def new_n_sample_val(self, val):
unit = self.config.ix2u_dict[self.sample_nums_comboBox.currentIndex()]
new_n_sample = f"{int(val)} {unit}"
# new_n_sample = f"{int(val)} {_d[self.sample_nums_comboBox.currentIndex()]}"
self.textEdit.append("sample_num: " + new_n_sample)
self.CONFIG["sample_nums"] = new_n_sample
self.save_config()
@pyqtSlot(int)
def new_n_sample_cbox(self, ix):
try:
unit = self.config.ix2u_dict[ix]
except KeyError:
raise ValueError("设置出错")
new_n_sample = f"{self.sample_nums_spinBox.value()} {unit}"
self.textEdit.append("sample_num: " + new_n_sample)
self.CONFIG["sample_nums"] = new_n_sample
self.save_config()
@pyqtSlot(int)
def new_sample_times(self, val):
new_times = str(val)
self.textEdit.append("sample_times: " + new_times)
self.CONFIG["sample_times"] = new_times
self.save_config()
def show_all_layers(self):
title = f'All Layers of {self.spec.id}'
horizontal = self.rect().width() > self.rect().height()
subplot_grid_shape = (7, 1) if horizontal else (1, 7)
plot = PlotWindow(title, shape=subplot_grid_shape)
plt.sca(plot.axis[0])
plt.imshow(self.spec.contamination + self.spec.science, origin='lower')
plt.title('Original')
plt.draw()
plt.sca(plot.axis[1])
plt.imshow(self.spec.contamination, origin='lower')
plt.title('Contamination')
plt.draw()
plt.sca(plot.axis[2])
plt.imshow(self.spec.science, origin='lower')
plt.title('Decontaminated')
plt.draw()
plt.sca(plot.axis[3])
if self.model is not None:
plt.imshow(self.model, origin='lower')
plt.title('Model')
else:
plt.title('N/A')
plt.draw()
plt.sca(plot.axis[4])
if self.model is not None:
plt.imshow(self.spec.science - self.model, origin='lower')
plt.title('Residual')
else:
plt.title('N/A')
plt.draw()
plt.sca(plot.axis[5])
plt.imshow(self.spec.variance, origin='lower')
plt.title('Variance')
plt.draw()
plt.sca(plot.axis[6])
data = (flag['ZERO'] & self.spec.mask) == flag['ZERO']
plt.imshow(data, origin='lower')
plt.title('Zeroth Orders')
plt.draw()
if horizontal:
plt.subplots_adjust(top=0.97, bottom=0.025, left=0.025, right=0.975, hspace=0, wspace=0)
else:
plt.subplots_adjust(top=0.9, bottom=0.03, left=0.025, right=0.975, hspace=0, wspace=0)
plt.draw()
plot.setWindowFlag(Qt.WindowStaysOnTopHint, False)
plot.show()
padding = 50
display = QApplication.desktop()
current_screen = display.screenNumber(self.view)
geom = display.screenGeometry(current_screen)
width = geom.width() - 2 * padding
height = geom.height() - 2 * padding
plot.setGeometry(geom.left() + padding, geom.top() + padding, width, height)
plt.close()
'jitter': get_jitter_plot,
'candle': get_candle_plot,
'errorbar': get_errorbar_plot,
'filled_line': get_filled_line_plot,
'image': get_image_plot,
'image_from_file': get_image_from_file,
'cmap_image': get_cmap_image_plot,
'contour_line': get_contour_line_plot,
'contour_poly': get_contour_poly_plot,
'polygon': get_polygon_plot,
'bar': get_bar_plot,
'quiver': get_quiver_plot,
'polar': get_polar_plot,
'multiline': get_multiline_plot,
}
if __name__ == '__main__':
name = 'vsize_scatter'
factory_func = all_examples[name]
plot = factory_func()
window = PlotWindow(plot=plot)
ui = window.edit_traits()
filename = '{}_plot.png'.format(name)
save_plot(window.container, filename)
