jroplot_data.py
971 lines
| 32.2 KiB
| text/x-python
|
PythonLexer
|
r865 | |||
import os | ||||
import time | ||||
|
r1062 | import glob | ||
|
r865 | import datetime | ||
|
r1062 | from multiprocessing import Process | ||
import zmq | ||||
import numpy | ||||
|
r927 | import matplotlib | ||
|
r865 | import matplotlib.pyplot as plt | ||
from mpl_toolkits.axes_grid1 import make_axes_locatable | ||||
|
r1062 | from matplotlib.ticker import FuncFormatter, LinearLocator, MultipleLocator | ||
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r865 | |||
from schainpy.model.proc.jroproc_base import Operation | ||||
|
r1062 | from schainpy.utils import log | ||
r889 | ||||
|
r1095 | jet_values = matplotlib.pyplot.get_cmap('jet', 100)(numpy.arange(100))[10:90] | ||
|
r1080 | blu_values = matplotlib.pyplot.get_cmap( | ||
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r1095 | 'seismic_r', 20)(numpy.arange(20))[10:15] | ||
|
r1080 | ncmap = matplotlib.colors.LinearSegmentedColormap.from_list( | ||
|
r1095 | 'jro', numpy.vstack((blu_values, jet_values))) | ||
r1071 | matplotlib.pyplot.register_cmap(cmap=ncmap) | |||
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r1004 | |||
|
r1119 | CMAPS = [plt.get_cmap(s) for s in ('jro', 'jet', 'viridis', 'plasma', 'inferno', 'Greys', 'seismic', 'bwr', 'coolwarm')] | ||
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r865 | |||
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r1093 | |||
|
r1089 | def figpause(interval): | ||
backend = plt.rcParams['backend'] | ||||
if backend in matplotlib.rcsetup.interactive_bk: | ||||
figManager = matplotlib._pylab_helpers.Gcf.get_active() | ||||
if figManager is not None: | ||||
canvas = figManager.canvas | ||||
if canvas.figure.stale: | ||||
canvas.draw() | ||||
canvas.start_event_loop(interval) | ||||
return | ||||
r1128 | def popup(message): | |||
r1129 | fig = plt.figure(figsize=(12, 8), facecolor='r') | |||
r1128 | fig.text(0.5, 0.5, message, ha='center', va='center', size='20', weight='heavy', color='w') | |||
fig.show() | ||||
figpause(1000) | ||||
r889 | class PlotData(Operation, Process): | |||
|
r1062 | ''' | ||
Base class for Schain plotting operations | ||||
''' | ||||
|
r865 | |||
r889 | CODE = 'Figure' | |||
r922 | colormap = 'jro' | |||
|
r1062 | bgcolor = 'white' | ||
|
r1119 | CONFLATE = False | ||
|
r865 | __missing = 1E30 | ||
|
r1097 | __attrs__ = ['show', 'save', 'xmin', 'xmax', 'ymin', 'ymax', 'zmin', 'zmax', | ||
|
r1099 | 'zlimits', 'xlabel', 'ylabel', 'xaxis','cb_label', 'title', | ||
'colorbar', 'bgcolor', 'width', 'height', 'localtime', 'oneFigure', | ||||
'showprofile', 'decimation'] | ||||
|
r1097 | |||
r889 | def __init__(self, **kwargs): | |||
|
r865 | |||
|
r906 | Operation.__init__(self, plot=True, **kwargs) | ||
r889 | Process.__init__(self) | |||
r1105 | ||||
|
r906 | self.kwargs['code'] = self.CODE | ||
r889 | self.mp = False | |||
|
r1062 | self.data = None | ||
|
r1080 | self.isConfig = False | ||
|
r1062 | self.figures = [] | ||
r889 | self.axes = [] | |||
|
r1062 | self.cb_axes = [] | ||
|
r865 | self.localtime = kwargs.pop('localtime', True) | ||
r889 | self.show = kwargs.get('show', True) | |||
self.save = kwargs.get('save', False) | ||||
self.colormap = kwargs.get('colormap', self.colormap) | ||||
r922 | self.colormap_coh = kwargs.get('colormap_coh', 'jet') | |||
self.colormap_phase = kwargs.get('colormap_phase', 'RdBu_r') | ||||
|
r1062 | self.colormaps = kwargs.get('colormaps', None) | ||
self.bgcolor = kwargs.get('bgcolor', self.bgcolor) | ||||
self.showprofile = kwargs.get('showprofile', False) | ||||
self.title = kwargs.get('wintitle', self.CODE.upper()) | ||||
self.cb_label = kwargs.get('cb_label', None) | ||||
self.cb_labels = kwargs.get('cb_labels', None) | ||||
r922 | self.xaxis = kwargs.get('xaxis', 'frequency') | |||
|
r865 | self.zmin = kwargs.get('zmin', None) | ||
self.zmax = kwargs.get('zmax', None) | ||||
|
r1062 | self.zlimits = kwargs.get('zlimits', None) | ||
|
r1080 | self.xmin = kwargs.get('xmin', None) | ||
r889 | self.xmax = kwargs.get('xmax', None) | |||
self.xrange = kwargs.get('xrange', 24) | ||||
|
r866 | self.ymin = kwargs.get('ymin', None) | ||
self.ymax = kwargs.get('ymax', None) | ||||
|
r1062 | self.xlabel = kwargs.get('xlabel', None) | ||
|
r1119 | self.decimation = kwargs.get('decimation', None) | ||
|
r1062 | self.showSNR = kwargs.get('showSNR', False) | ||
self.oneFigure = kwargs.get('oneFigure', True) | ||||
self.width = kwargs.get('width', None) | ||||
self.height = kwargs.get('height', None) | ||||
self.colorbar = kwargs.get('colorbar', True) | ||||
self.factors = kwargs.get('factors', [1, 1, 1, 1, 1, 1, 1, 1]) | ||||
r1105 | self.titles = kwargs.get('titles', []) | |||
|
r1095 | self.polar = False | ||
r1091 | ||||
|
r1089 | def __fmtTime(self, x, pos): | ||
''' | ||||
''' | ||||
return '{}'.format(self.getDateTime(x).strftime('%H:%M')) | ||||
|
r1062 | |||
def __setup(self): | ||||
''' | ||||
Common setup for all figures, here figures and axes are created | ||||
''' | ||||
|
r1095 | if self.CODE not in self.data: | ||
raise ValueError(log.error('Missing data for {}'.format(self.CODE), | ||||
|
r1098 | self.name)) | ||
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r1062 | |||
self.setup() | ||||
r1071 | self.time_label = 'LT' if self.localtime else 'UTC' | |||
|
r1089 | if self.data.localtime: | ||
|
r1093 | self.getDateTime = datetime.datetime.fromtimestamp | ||
|
r1089 | else: | ||
|
r1093 | self.getDateTime = datetime.datetime.utcfromtimestamp | ||
r1071 | ||||
|
r1062 | if self.width is None: | ||
self.width = 8 | ||||
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r933 | |||
|
r1062 | self.figures = [] | ||
self.axes = [] | ||||
self.cb_axes = [] | ||||
self.pf_axes = [] | ||||
self.cmaps = [] | ||||
|
r1080 | size = '15%' if self.ncols == 1 else '30%' | ||
pad = '4%' if self.ncols == 1 else '8%' | ||||
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r1062 | |||
if self.oneFigure: | ||||
if self.height is None: | ||||
|
r1080 | self.height = 1.4 * self.nrows + 1 | ||
|
r1062 | fig = plt.figure(figsize=(self.width, self.height), | ||
edgecolor='k', | ||||
facecolor='w') | ||||
self.figures.append(fig) | ||||
|
r1080 | for n in range(self.nplots): | ||
|
r1098 | ax = fig.add_subplot(self.nrows, self.ncols, | ||
n + 1, polar=self.polar) | ||||
|
r1062 | ax.tick_params(labelsize=8) | ||
ax.firsttime = True | ||||
r1071 | ax.index = 0 | |||
|
r1087 | ax.press = None | ||
|
r1093 | self.axes.append(ax) | ||
|
r1062 | if self.showprofile: | ||
cax = self.__add_axes(ax, size=size, pad=pad) | ||||
|
r1080 | cax.tick_params(labelsize=8) | ||
|
r1062 | self.pf_axes.append(cax) | ||
else: | ||||
if self.height is None: | ||||
self.height = 3 | ||||
for n in range(self.nplots): | ||||
fig = plt.figure(figsize=(self.width, self.height), | ||||
|
r1080 | edgecolor='k', | ||
facecolor='w') | ||||
|
r1095 | ax = fig.add_subplot(1, 1, 1, polar=self.polar) | ||
|
r1062 | ax.tick_params(labelsize=8) | ||
ax.firsttime = True | ||||
r1071 | ax.index = 0 | |||
|
r1087 | ax.press = None | ||
|
r1093 | self.figures.append(fig) | ||
|
r1062 | self.axes.append(ax) | ||
if self.showprofile: | ||||
cax = self.__add_axes(ax, size=size, pad=pad) | ||||
|
r1080 | cax.tick_params(labelsize=8) | ||
|
r1062 | self.pf_axes.append(cax) | ||
|
r1080 | |||
|
r1062 | for n in range(self.nrows): | ||
if self.colormaps is not None: | ||||
|
r1080 | cmap = plt.get_cmap(self.colormaps[n]) | ||
|
r1062 | else: | ||
cmap = plt.get_cmap(self.colormap) | ||||
cmap.set_bad(self.bgcolor, 1.) | ||||
self.cmaps.append(cmap) | ||||
r1071 | for fig in self.figures: | |||
|
r1087 | fig.canvas.mpl_connect('key_press_event', self.OnKeyPress) | ||
fig.canvas.mpl_connect('scroll_event', self.OnBtnScroll) | ||||
fig.canvas.mpl_connect('button_press_event', self.onBtnPress) | ||||
fig.canvas.mpl_connect('motion_notify_event', self.onMotion) | ||||
fig.canvas.mpl_connect('button_release_event', self.onBtnRelease) | ||||
|
r1089 | if self.show: | ||
fig.show() | ||||
|
r1087 | |||
def OnKeyPress(self, event): | ||||
''' | ||||
Event for pressing keys (up, down) change colormap | ||||
''' | ||||
ax = event.inaxes | ||||
|
r1093 | if ax in self.axes: | ||
|
r1087 | if event.key == 'down': | ||
ax.index += 1 | ||||
elif event.key == 'up': | ||||
ax.index -= 1 | ||||
if ax.index < 0: | ||||
|
r1093 | ax.index = len(CMAPS) - 1 | ||
|
r1087 | elif ax.index == len(CMAPS): | ||
ax.index = 0 | ||||
|
r1093 | cmap = CMAPS[ax.index] | ||
|
r1087 | ax.cbar.set_cmap(cmap) | ||
ax.cbar.draw_all() | ||||
|
r1093 | ax.plt.set_cmap(cmap) | ||
|
r1087 | ax.cbar.patch.figure.canvas.draw() | ||
|
r1089 | self.colormap = cmap.name | ||
r1071 | ||||
|
r1087 | def OnBtnScroll(self, event): | ||
r1071 | ''' | |||
|
r1087 | Event for scrolling, scale figure | ||
r1071 | ''' | |||
|
r1087 | cb_ax = event.inaxes | ||
r1091 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: | |||
|
r1087 | ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] | ||
|
r1093 | pt = ax.cbar.ax.bbox.get_points()[:, 1] | ||
|
r1087 | nrm = ax.cbar.norm | ||
|
r1093 | vmin, vmax, p0, p1, pS = ( | ||
nrm.vmin, nrm.vmax, pt[0], pt[1], event.y) | ||||
|
r1087 | scale = 2 if event.step == 1 else 0.5 | ||
|
r1093 | point = vmin + (vmax - vmin) / (p1 - p0) * (pS - p0) | ||
ax.cbar.norm.vmin = point - scale * (point - vmin) | ||||
ax.cbar.norm.vmax = point - scale * (point - vmax) | ||||
|
r1087 | ax.plt.set_norm(ax.cbar.norm) | ||
ax.cbar.draw_all() | ||||
ax.cbar.patch.figure.canvas.draw() | ||||
def onBtnPress(self, event): | ||||
''' | ||||
Event for mouse button press | ||||
''' | ||||
cb_ax = event.inaxes | ||||
if cb_ax is None: | ||||
return | ||||
r1071 | ||||
r1091 | if cb_ax in [ax.cbar.ax for ax in self.axes if ax.cbar]: | |||
|
r1087 | cb_ax.press = event.x, event.y | ||
else: | ||||
cb_ax.press = None | ||||
def onMotion(self, event): | ||||
''' | ||||
Event for move inside colorbar | ||||
''' | ||||
cb_ax = event.inaxes | ||||
if cb_ax is None: | ||||
return | ||||
r1091 | if cb_ax not in [ax.cbar.ax for ax in self.axes if ax.cbar]: | |||
|
r1087 | return | ||
|
r1093 | if cb_ax.press is None: | ||
|
r1087 | return | ||
ax = [ax for ax in self.axes if cb_ax == ax.cbar.ax][0] | ||||
xprev, yprev = cb_ax.press | ||||
dx = event.x - xprev | ||||
dy = event.y - yprev | ||||
|
r1093 | cb_ax.press = event.x, event.y | ||
|
r1087 | scale = ax.cbar.norm.vmax - ax.cbar.norm.vmin | ||
perc = 0.03 | ||||
if event.button == 1: | ||||
|
r1093 | ax.cbar.norm.vmin -= (perc * scale) * numpy.sign(dy) | ||
ax.cbar.norm.vmax -= (perc * scale) * numpy.sign(dy) | ||||
|
r1087 | elif event.button == 3: | ||
|
r1093 | ax.cbar.norm.vmin -= (perc * scale) * numpy.sign(dy) | ||
ax.cbar.norm.vmax += (perc * scale) * numpy.sign(dy) | ||||
|
r1087 | |||
ax.cbar.draw_all() | ||||
ax.plt.set_norm(ax.cbar.norm) | ||||
ax.cbar.patch.figure.canvas.draw() | ||||
def onBtnRelease(self, event): | ||||
''' | ||||
Event for mouse button release | ||||
''' | ||||
cb_ax = event.inaxes | ||||
if cb_ax is not None: | ||||
cb_ax.press = None | ||||
r1071 | ||||
|
r1062 | def __add_axes(self, ax, size='30%', pad='8%'): | ||
|
r964 | ''' | ||
|
r1062 | Add new axes to the given figure | ||
|
r964 | ''' | ||
|
r1062 | divider = make_axes_locatable(ax) | ||
nax = divider.new_horizontal(size=size, pad=pad) | ||||
|
r1080 | ax.figure.add_axes(nax) | ||
|
r1062 | return nax | ||
|
r964 | |||
r1065 | self.setup() | |||
r922 | ||||
|
r1062 | def setup(self): | ||
''' | ||||
This method should be implemented in the child class, the following | ||||
attributes should be set: | ||||
|
r1080 | |||
|
r1062 | self.nrows: number of rows | ||
self.ncols: number of cols | ||||
self.nplots: number of plots (channels or pairs) | ||||
self.ylabel: label for Y axes | ||||
self.titles: list of axes title | ||||
''' | ||||
raise(NotImplementedError, 'Implement this method in child class') | ||||
|
r865 | |||
|
r1062 | def fill_gaps(self, x_buffer, y_buffer, z_buffer): | ||
''' | ||||
Create a masked array for missing data | ||||
''' | ||||
|
r865 | if x_buffer.shape[0] < 2: | ||
return x_buffer, y_buffer, z_buffer | ||||
deltas = x_buffer[1:] - x_buffer[0:-1] | ||||
|
r1062 | x_median = numpy.median(deltas) | ||
|
r865 | |||
|
r1080 | index = numpy.where(deltas > 5 * x_median) | ||
|
r865 | |||
if len(index[0]) != 0: | ||||
|
r897 | z_buffer[::, index[0], ::] = self.__missing | ||
|
r1062 | z_buffer = numpy.ma.masked_inside(z_buffer, | ||
|
r1080 | 0.99 * self.__missing, | ||
1.01 * self.__missing) | ||||
|
r865 | |||
return x_buffer, y_buffer, z_buffer | ||||
|
r866 | def decimate(self): | ||
r889 | ||||
|
r898 | # dx = int(len(self.x)/self.__MAXNUMX) + 1 | ||
|
r1119 | dy = int(len(self.y) / self.decimation) + 1 | ||
r889 | ||||
|
r898 | # x = self.x[::dx] | ||
x = self.x | ||||
r889 | y = self.y[::dy] | |||
|
r898 | z = self.z[::, ::, ::dy] | ||
|
r1080 | |||
|
r866 | return x, y, z | ||
|
r1062 | def format(self): | ||
''' | ||||
Set min and max values, labels, ticks and titles | ||||
''' | ||||
|
r983 | |||
|
r1062 | if self.xmin is None: | ||
xmin = self.min_time | ||||
else: | ||||
if self.xaxis is 'time': | ||||
|
r1093 | dt = self.getDateTime(self.min_time) | ||
xmin = (dt.replace(hour=int(self.xmin), minute=0, second=0) - | ||||
datetime.datetime(1970, 1, 1)).total_seconds() | ||||
|
r1089 | if self.data.localtime: | ||
xmin += time.timezone | ||||
|
r1062 | else: | ||
xmin = self.xmin | ||||
|
r983 | |||
|
r1062 | if self.xmax is None: | ||
|
r1080 | xmax = xmin + self.xrange * 60 * 60 | ||
|
r1062 | else: | ||
if self.xaxis is 'time': | ||||
|
r1089 | dt = self.getDateTime(self.max_time) | ||
|
r1098 | xmax = (dt.replace(hour=int(self.xmax), minute=59, second=59) - | ||
|
r1099 | datetime.datetime(1970, 1, 1) + datetime.timedelta(seconds=1)).total_seconds() | ||
|
r1089 | if self.data.localtime: | ||
xmax += time.timezone | ||||
|
r1062 | else: | ||
xmax = self.xmax | ||||
|
r1087 | |||
|
r1062 | ymin = self.ymin if self.ymin else numpy.nanmin(self.y) | ||
|
r1093 | ymax = self.ymax if self.ymax else numpy.nanmax(self.y) | ||
|
r1087 | |||
|
r1119 | Y = numpy.array([5, 10, 20, 50, 100, 200, 500, 1000, 2000]) | ||
|
r1099 | i = 1 if numpy.where(ymax-ymin < Y)[0][0] < 0 else numpy.where(ymax-ymin < Y)[0][0] | ||
ystep = Y[i] / 5 | ||||
|
r1062 | |||
|
r1080 | for n, ax in enumerate(self.axes): | ||
|
r1062 | if ax.firsttime: | ||
ax.set_facecolor(self.bgcolor) | ||||
ax.yaxis.set_major_locator(MultipleLocator(ystep)) | ||||
|
r1093 | if self.xaxis is 'time': | ||
|
r1089 | ax.xaxis.set_major_formatter(FuncFormatter(self.__fmtTime)) | ||
|
r1093 | ax.xaxis.set_major_locator(LinearLocator(9)) | ||
|
r1062 | if self.xlabel is not None: | ||
ax.set_xlabel(self.xlabel) | ||||
|
r1080 | ax.set_ylabel(self.ylabel) | ||
|
r1062 | ax.firsttime = False | ||
if self.showprofile: | ||||
self.pf_axes[n].set_ylim(ymin, ymax) | ||||
|
r1080 | self.pf_axes[n].set_xlim(self.zmin, self.zmax) | ||
|
r1062 | self.pf_axes[n].set_xlabel('dB') | ||
self.pf_axes[n].grid(b=True, axis='x') | ||||
|
r1080 | [tick.set_visible(False) | ||
for tick in self.pf_axes[n].get_yticklabels()] | ||||
|
r1062 | if self.colorbar: | ||
|
r1098 | ax.cbar = plt.colorbar( | ||
ax.plt, ax=ax, fraction=0.05, pad=0.02, aspect=10) | ||||
r1071 | ax.cbar.ax.tick_params(labelsize=8) | |||
|
r1087 | ax.cbar.ax.press = None | ||
|
r1062 | if self.cb_label: | ||
r1071 | ax.cbar.set_label(self.cb_label, size=8) | |||
|
r1062 | elif self.cb_labels: | ||
r1071 | ax.cbar.set_label(self.cb_labels[n], size=8) | |||
r1091 | else: | |||
ax.cbar = None | ||||
|
r1080 | |||
|
r1095 | if not self.polar: | ||
ax.set_xlim(xmin, xmax) | ||||
ax.set_ylim(ymin, ymax) | ||||
ax.set_title('{} - {} {}'.format( | ||||
|
r1062 | self.titles[n], | ||
|
r1089 | self.getDateTime(self.max_time).strftime('%H:%M:%S'), | ||
r1071 | self.time_label), | |||
|
r1098 | size=8) | ||
else: | ||||
|
r1095 | ax.set_title('{}'.format(self.titles[n]), size=8) | ||
ax.set_ylim(0, 90) | ||||
ax.set_yticks(numpy.arange(0, 90, 20)) | ||||
ax.yaxis.labelpad = 40 | ||||
|
r971 | |||
r889 | def __plot(self): | |||
|
r1062 | ''' | ||
''' | ||||
log.success('Plotting', self.name) | ||||
|
r1080 | |||
r1121 | try: | |||
self.plot() | ||||
self.format() | ||||
except: | ||||
log.warning('{} Plot could not be updated... check data'.format(self.CODE), self.name) | ||||
|
r1080 | |||
|
r1062 | for n, fig in enumerate(self.figures): | ||
if self.nrows == 0 or self.nplots == 0: | ||||
log.warning('No data', self.name) | ||||
|
r1095 | fig.text(0.5, 0.5, 'No Data', fontsize='large', ha='center') | ||
|
r1099 | fig.canvas.manager.set_window_title(self.CODE) | ||
|
r1093 | continue | ||
|
r1062 | fig.tight_layout() | ||
|
r1093 | fig.canvas.manager.set_window_title('{} - {}'.format(self.title, | ||
|
r1089 | self.getDateTime(self.max_time).strftime('%Y/%m/%d'))) | ||
r1105 | fig.canvas.draw() | |||
|
r1080 | |||
|
r1099 | if self.save and self.data.ended: | ||
|
r1062 | channels = range(self.nrows) | ||
if self.oneFigure: | ||||
label = '' | ||||
else: | ||||
label = '_{}'.format(channels[n]) | ||||
figname = os.path.join( | ||||
self.save, | ||||
|
r1099 | '{}{}_{}.png'.format( | ||
|
r1062 | self.CODE, | ||
label, | ||||
|
r1093 | self.getDateTime(self.saveTime).strftime( | ||
r1122 | '%Y%m%d_%H%M%S'), | |||
|
r1062 | ) | ||
) | ||||
|
r1095 | log.log('Saving figure: {}'.format(figname), self.name) | ||
|
r1062 | fig.savefig(figname) | ||
|
r866 | |||
r889 | def plot(self): | |||
|
r1062 | ''' | ||
''' | ||||
raise(NotImplementedError, 'Implement this method in child class') | ||||
|
r866 | |||
r889 | def run(self): | |||
|
r866 | |||
|
r1062 | log.success('Starting', self.name) | ||
|
r937 | |||
r889 | context = zmq.Context() | |||
receiver = context.socket(zmq.SUB) | ||||
receiver.setsockopt(zmq.SUBSCRIBE, '') | ||||
|
r897 | receiver.setsockopt(zmq.CONFLATE, self.CONFLATE) | ||
|
r962 | |||
|
r937 | if 'server' in self.kwargs['parent']: | ||
|
r1080 | receiver.connect( | ||
'ipc:///tmp/{}.plots'.format(self.kwargs['parent']['server'])) | ||||
|
r937 | else: | ||
|
r1080 | receiver.connect("ipc:///tmp/zmq.plots") | ||
|
r938 | |||
r889 | while True: | |||
try: | ||||
r1071 | self.data = receiver.recv_pyobj(flags=zmq.NOBLOCK) | |||
|
r1089 | if self.data.localtime and self.localtime: | ||
self.times = self.data.times | ||||
elif self.data.localtime and not self.localtime: | ||||
self.times = self.data.times + time.timezone | ||||
elif not self.data.localtime and self.localtime: | ||||
r1071 | self.times = self.data.times - time.timezone | |||
else: | ||||
self.times = self.data.times | ||||
|
r1089 | |||
r1071 | self.min_time = self.times[0] | |||
self.max_time = self.times[-1] | ||||
|
r866 | |||
r889 | if self.isConfig is False: | |||
|
r1062 | self.__setup() | ||
r889 | self.isConfig = True | |||
|
r1080 | |||
|
r1062 | self.__plot() | ||
r889 | ||||
except zmq.Again as e: | ||||
|
r1062 | log.log('Waiting for data...') | ||
if self.data: | ||||
|
r1089 | figpause(self.data.throttle) | ||
|
r1062 | else: | ||
time.sleep(2) | ||||
|
r866 | |||
def close(self): | ||||
|
r1062 | if self.data: | ||
r922 | self.__plot() | |||
r889 | ||||
|
r1080 | |||
|
r866 | class PlotSpectraData(PlotData): | ||
|
r1062 | ''' | ||
Plot for Spectra data | ||||
''' | ||||
|
r866 | |||
r889 | CODE = 'spc' | |||
|
r1080 | colormap = 'jro' | ||
r922 | ||||
r889 | def setup(self): | |||
|
r1062 | self.nplots = len(self.data.channels) | ||
|
r1080 | self.ncols = int(numpy.sqrt(self.nplots) + 0.9) | ||
self.nrows = int((1.0 * self.nplots / self.ncols) + 0.9) | ||||
self.width = 3.4 * self.ncols | ||||
self.height = 3 * self.nrows | ||||
|
r1062 | self.cb_label = 'dB' | ||
|
r1080 | if self.showprofile: | ||
self.width += 0.8 * self.ncols | ||||
r889 | ||||
r1122 | self.ylabel = 'Range [km]' | |||
r889 | ||||
|
r865 | def plot(self): | ||
r889 | if self.xaxis == "frequency": | |||
|
r1062 | x = self.data.xrange[0] | ||
self.xlabel = "Frequency (kHz)" | ||||
r889 | elif self.xaxis == "time": | |||
|
r1062 | x = self.data.xrange[1] | ||
self.xlabel = "Time (ms)" | ||||
r889 | else: | |||
|
r1062 | x = self.data.xrange[2] | ||
self.xlabel = "Velocity (m/s)" | ||||
if self.CODE == 'spc_mean': | ||||
x = self.data.xrange[2] | ||||
self.xlabel = "Velocity (m/s)" | ||||
r889 | ||||
|
r1062 | self.titles = [] | ||
r889 | ||||
|
r1062 | y = self.data.heights | ||
self.y = y | ||||
z = self.data['spc'] | ||||
|
r1080 | |||
r889 | for n, ax in enumerate(self.axes): | |||
|
r1062 | noise = self.data['noise'][n][-1] | ||
if self.CODE == 'spc_mean': | ||||
mean = self.data['mean'][n][-1] | ||||
r889 | if ax.firsttime: | |||
|
r1062 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) | ||
r889 | self.xmin = self.xmin if self.xmin else -self.xmax | |||
|
r1062 | self.zmin = self.zmin if self.zmin else numpy.nanmin(z) | ||
self.zmax = self.zmax if self.zmax else numpy.nanmax(z) | ||||
ax.plt = ax.pcolormesh(x, y, z[n].T, | ||||
|
r1080 | vmin=self.zmin, | ||
vmax=self.zmax, | ||||
cmap=plt.get_cmap(self.colormap) | ||||
) | ||||
r889 | ||||
if self.showprofile: | ||||
|
r1080 | ax.plt_profile = self.pf_axes[n].plot( | ||
self.data['rti'][n][-1], y)[0] | ||||
|
r1062 | ax.plt_noise = self.pf_axes[n].plot(numpy.repeat(noise, len(y)), y, | ||
|
r1080 | color="k", linestyle="dashed", lw=1)[0] | ||
|
r1062 | if self.CODE == 'spc_mean': | ||
ax.plt_mean = ax.plot(mean, y, color='k')[0] | ||||
r889 | else: | |||
|
r1062 | ax.plt.set_array(z[n].T.ravel()) | ||
r889 | if self.showprofile: | |||
|
r1062 | ax.plt_profile.set_data(self.data['rti'][n][-1], y) | ||
ax.plt_noise.set_data(numpy.repeat(noise, len(y)), y) | ||||
if self.CODE == 'spc_mean': | ||||
ax.plt_mean.set_data(mean, y) | ||||
|
r866 | |||
|
r1062 | self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) | ||
r922 | self.saveTime = self.max_time | |||
class PlotCrossSpectraData(PlotData): | ||||
CODE = 'cspc' | ||||
zmin_coh = None | ||||
zmax_coh = None | ||||
zmin_phase = None | ||||
|
r1080 | zmax_phase = None | ||
r922 | ||||
def setup(self): | ||||
|
r1062 | self.ncols = 4 | ||
self.nrows = len(self.data.pairs) | ||||
|
r1080 | self.nplots = self.nrows * 4 | ||
self.width = 3.4 * self.ncols | ||||
self.height = 3 * self.nrows | ||||
r1122 | self.ylabel = 'Range [km]' | |||
|
r1080 | self.showprofile = False | ||
r922 | ||||
def plot(self): | ||||
if self.xaxis == "frequency": | ||||
|
r1062 | x = self.data.xrange[0] | ||
self.xlabel = "Frequency (kHz)" | ||||
r922 | elif self.xaxis == "time": | |||
|
r1062 | x = self.data.xrange[1] | ||
self.xlabel = "Time (ms)" | ||||
r922 | else: | |||
|
r1062 | x = self.data.xrange[2] | ||
self.xlabel = "Velocity (m/s)" | ||||
self.titles = [] | ||||
r922 | ||||
|
r1062 | y = self.data.heights | ||
self.y = y | ||||
spc = self.data['spc'] | ||||
cspc = self.data['cspc'] | ||||
r922 | ||||
for n in range(self.nrows): | ||||
|
r1062 | noise = self.data['noise'][n][-1] | ||
pair = self.data.pairs[n] | ||||
|
r1080 | ax = self.axes[4 * n] | ||
ax3 = self.axes[4 * n + 3] | ||||
r922 | if ax.firsttime: | |||
|
r1062 | self.xmax = self.xmax if self.xmax else numpy.nanmax(x) | ||
r922 | self.xmin = self.xmin if self.xmin else -self.xmax | |||
|
r1062 | self.zmin = self.zmin if self.zmin else numpy.nanmin(spc) | ||
|
r1080 | self.zmax = self.zmax if self.zmax else numpy.nanmax(spc) | ||
|
r1062 | ax.plt = ax.pcolormesh(x, y, spc[pair[0]].T, | ||
vmin=self.zmin, | ||||
vmax=self.zmax, | ||||
cmap=plt.get_cmap(self.colormap) | ||||
|
r1080 | ) | ||
r922 | else: | |||
|
r1062 | ax.plt.set_array(spc[pair[0]].T.ravel()) | ||
self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) | ||||
r922 | ||||
|
r1080 | ax = self.axes[4 * n + 1] | ||
if ax.firsttime: | ||||
|
r1062 | ax.plt = ax.pcolormesh(x, y, spc[pair[1]].T, | ||
r922 | vmin=self.zmin, | |||
vmax=self.zmax, | ||||
cmap=plt.get_cmap(self.colormap) | ||||
) | ||||
else: | ||||
|
r1062 | ax.plt.set_array(spc[pair[1]].T.ravel()) | ||
self.titles.append('CH {}: {:3.2f}dB'.format(n, noise)) | ||||
|
r1080 | out = cspc[n] / numpy.sqrt(spc[pair[0]] * spc[pair[1]]) | ||
|
r1062 | coh = numpy.abs(out) | ||
|
r1080 | phase = numpy.arctan2(out.imag, out.real) * 180 / numpy.pi | ||
ax = self.axes[4 * n + 2] | ||||
if ax.firsttime: | ||||
|
r1062 | ax.plt = ax.pcolormesh(x, y, coh.T, | ||
vmin=0, | ||||
vmax=1, | ||||
cmap=plt.get_cmap(self.colormap_coh) | ||||
) | ||||
else: | ||||
ax.plt.set_array(coh.T.ravel()) | ||||
|
r1080 | self.titles.append( | ||
'Coherence Ch{} * Ch{}'.format(pair[0], pair[1])) | ||||
r922 | ||||
|
r1080 | ax = self.axes[4 * n + 3] | ||
|
r1062 | if ax.firsttime: | ||
ax.plt = ax.pcolormesh(x, y, phase.T, | ||||
vmin=-180, | ||||
vmax=180, | ||||
cmap=plt.get_cmap(self.colormap_phase) | ||||
) | ||||
else: | ||||
ax.plt.set_array(phase.T.ravel()) | ||||
self.titles.append('Phase CH{} * CH{}'.format(pair[0], pair[1])) | ||||
|
r1080 | |||
r922 | self.saveTime = self.max_time | |||
|
r866 | |||
|
r1062 | class PlotSpectraMeanData(PlotSpectraData): | ||
''' | ||||
Plot for Spectra and Mean | ||||
''' | ||||
CODE = 'spc_mean' | ||||
colormap = 'jro' | ||||
|
r866 | class PlotRTIData(PlotData): | ||
|
r1062 | ''' | ||
Plot for RTI data | ||||
''' | ||||
r889 | ||||
CODE = 'rti' | ||||
colormap = 'jro' | ||||
def setup(self): | ||||
|
r1062 | self.xaxis = 'time' | ||
|
r1080 | self.ncols = 1 | ||
|
r1062 | self.nrows = len(self.data.channels) | ||
self.nplots = len(self.data.channels) | ||||
r1122 | self.ylabel = 'Range [km]' | |||
|
r1062 | self.cb_label = 'dB' | ||
|
r1080 | self.titles = ['{} Channel {}'.format( | ||
self.CODE.upper(), x) for x in range(self.nrows)] | ||||
r922 | ||||
|
r866 | def plot(self): | ||
r1071 | self.x = self.times | |||
|
r1062 | self.y = self.data.heights | ||
self.z = self.data[self.CODE] | ||||
self.z = numpy.ma.masked_invalid(self.z) | ||||
|
r865 | |||
|
r1119 | if self.decimation is None: | ||
x, y, z = self.fill_gaps(self.x, self.y, self.z) | ||||
else: | ||||
|
r1080 | x, y, z = self.fill_gaps(*self.decimate()) | ||
|
r1119 | |||
for n, ax in enumerate(self.axes): | ||||
|
r1062 | self.zmin = self.zmin if self.zmin else numpy.min(self.z) | ||
self.zmax = self.zmax if self.zmax else numpy.max(self.z) | ||||
|
r1080 | if ax.firsttime: | ||
|
r1062 | ax.plt = ax.pcolormesh(x, y, z[n].T, | ||
|
r1080 | vmin=self.zmin, | ||
vmax=self.zmax, | ||||
cmap=plt.get_cmap(self.colormap) | ||||
) | ||||
|
r1062 | if self.showprofile: | ||
|
r1080 | ax.plot_profile = self.pf_axes[n].plot( | ||
self.data['rti'][n][-1], self.y)[0] | ||||
|
r1062 | ax.plot_noise = self.pf_axes[n].plot(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y, | ||
color="k", linestyle="dashed", lw=1)[0] | ||||
else: | ||||
ax.collections.remove(ax.collections[0]) | ||||
ax.plt = ax.pcolormesh(x, y, z[n].T, | ||||
vmin=self.zmin, | ||||
vmax=self.zmax, | ||||
cmap=plt.get_cmap(self.colormap) | ||||
|
r1080 | ) | ||
|
r1062 | if self.showprofile: | ||
ax.plot_profile.set_data(self.data['rti'][n][-1], self.y) | ||||
|
r1080 | ax.plot_noise.set_data(numpy.repeat( | ||
self.data['noise'][n][-1], len(self.y)), self.y) | ||||
|
r964 | |||
|
r1080 | self.saveTime = self.min_time | ||
r889 | ||||
class PlotCOHData(PlotRTIData): | ||||
|
r1062 | ''' | ||
Plot for Coherence data | ||||
''' | ||||
r889 | ||||
CODE = 'coh' | ||||
def setup(self): | ||||
|
r1062 | self.xaxis = 'time' | ||
r889 | self.ncols = 1 | |||
|
r1062 | self.nrows = len(self.data.pairs) | ||
self.nplots = len(self.data.pairs) | ||||
r1122 | self.ylabel = 'Range [km]' | |||
|
r1062 | if self.CODE == 'coh': | ||
self.cb_label = '' | ||||
|
r1080 | self.titles = [ | ||
'Coherence Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] | ||||
r889 | else: | |||
|
r1062 | self.cb_label = 'Degrees' | ||
|
r1080 | self.titles = [ | ||
'Phase Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs] | ||||
r889 | ||||
|
r1062 | |||
class PlotPHASEData(PlotCOHData): | ||||
''' | ||||
Plot for Phase map data | ||||
''' | ||||
CODE = 'phase' | ||||
colormap = 'seismic' | ||||
r889 | ||||
|
r865 | |||
r907 | class PlotNoiseData(PlotData): | |||
|
r1062 | ''' | ||
Plot for noise | ||||
''' | ||||
r907 | CODE = 'noise' | |||
def setup(self): | ||||
|
r1062 | self.xaxis = 'time' | ||
r907 | self.ncols = 1 | |||
self.nrows = 1 | ||||
|
r1062 | self.nplots = 1 | ||
r907 | self.ylabel = 'Intensity [dB]' | |||
self.titles = ['Noise'] | ||||
|
r1062 | self.colorbar = False | ||
r907 | ||||
def plot(self): | ||||
r1071 | x = self.times | |||
r907 | xmin = self.min_time | |||
|
r1080 | xmax = xmin + self.xrange * 60 * 60 | ||
|
r1062 | Y = self.data[self.CODE] | ||
|
r1080 | |||
|
r1062 | if self.axes[0].firsttime: | ||
for ch in self.data.channels: | ||||
y = Y[ch] | ||||
self.axes[0].plot(x, y, lw=1, label='Ch{}'.format(ch)) | ||||
r907 | plt.legend() | |||
else: | ||||
|
r1062 | for ch in self.data.channels: | ||
y = Y[ch] | ||||
self.axes[0].lines[ch].set_data(x, y) | ||||
|
r1080 | |||
|
r1062 | self.ymin = numpy.nanmin(Y) - 5 | ||
self.ymax = numpy.nanmax(Y) + 5 | ||||
r922 | self.saveTime = self.min_time | |||
r907 | ||||
class PlotSNRData(PlotRTIData): | ||||
|
r1062 | ''' | ||
Plot for SNR Data | ||||
''' | ||||
|
r898 | CODE = 'snr' | ||
r922 | colormap = 'jet' | |||
r889 | ||||
|
r1062 | |||
|
r898 | class PlotDOPData(PlotRTIData): | ||
|
r1062 | ''' | ||
Plot for DOPPLER Data | ||||
''' | ||||
|
r898 | CODE = 'dop' | ||
colormap = 'jet' | ||||
r889 | ||||
r922 | ||||
|
r937 | class PlotSkyMapData(PlotData): | ||
|
r1062 | ''' | ||
Plot for meteors detection data | ||||
''' | ||||
|
r937 | |||
|
r1095 | CODE = 'param' | ||
|
r937 | |||
def setup(self): | ||||
self.ncols = 1 | ||||
self.nrows = 1 | ||||
self.width = 7.2 | ||||
self.height = 7.2 | ||||
|
r1095 | self.nplots = 1 | ||
|
r937 | self.xlabel = 'Zonal Zenith Angle (deg)' | ||
self.ylabel = 'Meridional Zenith Angle (deg)' | ||||
|
r1095 | self.polar = True | ||
self.ymin = -180 | ||||
self.ymax = 180 | ||||
self.colorbar = False | ||||
|
r937 | |||
def plot(self): | ||||
|
r1098 | arrayParameters = numpy.concatenate(self.data['param']) | ||
|
r1080 | error = arrayParameters[:, -1] | ||
|
r937 | indValid = numpy.where(error == 0)[0] | ||
|
r1080 | finalMeteor = arrayParameters[indValid, :] | ||
finalAzimuth = finalMeteor[:, 3] | ||||
finalZenith = finalMeteor[:, 4] | ||||
|
r937 | |||
|
r1080 | x = finalAzimuth * numpy.pi / 180 | ||
|
r937 | y = finalZenith | ||
|
r1095 | ax = self.axes[0] | ||
if ax.firsttime: | ||||
|
r1098 | ax.plot = ax.plot(x, y, 'bo', markersize=5)[0] | ||
|
r937 | else: | ||
|
r1095 | ax.plot.set_data(x, y) | ||
|
r937 | |||
|
r1089 | dt1 = self.getDateTime(self.min_time).strftime('%y/%m/%d %H:%M:%S') | ||
dt2 = self.getDateTime(self.max_time).strftime('%y/%m/%d %H:%M:%S') | ||||
|
r937 | title = 'Meteor Detection Sky Map\n %s - %s \n Number of events: %5.0f\n' % (dt1, | ||
dt2, | ||||
len(x)) | ||||
|
r1095 | self.titles[0] = title | ||
|
r937 | self.saveTime = self.max_time | ||
|
r1062 | |||
|
r1080 | |||
|
r1062 | class PlotParamData(PlotRTIData): | ||
''' | ||||
Plot for data_param object | ||||
''' | ||||
CODE = 'param' | ||||
colormap = 'seismic' | ||||
def setup(self): | ||||
self.xaxis = 'time' | ||||
self.ncols = 1 | ||||
self.nrows = self.data.shape(self.CODE)[0] | ||||
self.nplots = self.nrows | ||||
if self.showSNR: | ||||
self.nrows += 1 | ||||
r1065 | self.nplots += 1 | |||
|
r1080 | |||
r1122 | self.ylabel = 'Height [km]' | |||
r1105 | if not self.titles: | |||
self.titles = self.data.parameters \ | ||||
if self.data.parameters else ['Param {}'.format(x) for x in xrange(self.nrows)] | ||||
if self.showSNR: | ||||
self.titles.append('SNR') | ||||
|
r1062 | |||
def plot(self): | ||||
|
r1080 | self.data.normalize_heights() | ||
r1071 | self.x = self.times | |||
|
r1062 | self.y = self.data.heights | ||
|
r1080 | if self.showSNR: | ||
|
r1062 | self.z = numpy.concatenate( | ||
(self.data[self.CODE], self.data['snr']) | ||||
) | ||||
else: | ||||
self.z = self.data[self.CODE] | ||||
self.z = numpy.ma.masked_invalid(self.z) | ||||
|
r1119 | if self.decimation is None: | ||
x, y, z = self.fill_gaps(self.x, self.y, self.z) | ||||
else: | ||||
|
r1062 | x, y, z = self.fill_gaps(*self.decimate()) | ||
|
r1119 | |||
for n, ax in enumerate(self.axes): | ||||
|
r1093 | self.zmax = self.zmax if self.zmax is not None else numpy.max( | ||
self.z[n]) | ||||
self.zmin = self.zmin if self.zmin is not None else numpy.min( | ||||
self.z[n]) | ||||
|
r1062 | if ax.firsttime: | ||
if self.zlimits is not None: | ||||
self.zmin, self.zmax = self.zlimits[n] | ||||
|
r1093 | |||
ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], | ||||
|
r1062 | vmin=self.zmin, | ||
vmax=self.zmax, | ||||
cmap=self.cmaps[n] | ||||
|
r1080 | ) | ||
|
r1062 | else: | ||
if self.zlimits is not None: | ||||
self.zmin, self.zmax = self.zlimits[n] | ||||
ax.collections.remove(ax.collections[0]) | ||||
|
r1093 | ax.plt = ax.pcolormesh(x, y, z[n].T * self.factors[n], | ||
|
r1062 | vmin=self.zmin, | ||
vmax=self.zmax, | ||||
cmap=self.cmaps[n] | ||||
|
r1080 | ) | ||
|
r1062 | |||
self.saveTime = self.min_time | ||||
|
r1093 | |||
|
r1087 | class PlotOutputData(PlotParamData): | ||
|
r1062 | ''' | ||
Plot data_output object | ||||
''' | ||||
CODE = 'output' | ||||
r1065 | colormap = 'seismic' | |||