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'''
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Created on Jul 9, 2014
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Modified on May 10, 2020
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@author: Juan C. Espinoza
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'''
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import os
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import datetime
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import numpy
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from schainpy.model.graphics.jroplot_base import Plot, plt
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class SpectraPlot(Plot):
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'''
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Plot for Spectra data
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'''
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CODE = 'spc'
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colormap = 'jet'
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plot_name = 'Spectra'
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plot_type = 'pcolor'
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def setup(self):
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self.nplots = len(self.data.channels)
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self.ncols = int(numpy.sqrt(self.nplots) + 0.9)
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self.nrows = int((1.0 * self.nplots / self.ncols) + 0.9)
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self.height = 3 * self.nrows
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self.cb_label = 'dB'
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if self.showprofile:
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self.width = 4 * self.ncols
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else:
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self.width = 3.5 * self.ncols
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self.plots_adjust.update({'wspace': 0.4, 'hspace':0.4, 'left': 0.1, 'right': 0.9, 'bottom': 0.08})
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self.ylabel = 'Range [km]'
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def plot(self):
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if self.xaxis == "frequency":
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x = self.data.xrange[0]
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self.xlabel = "Frequency (kHz)"
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elif self.xaxis == "time":
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x = self.data.xrange[1]
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self.xlabel = "Time (ms)"
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else:
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x = self.data.xrange[2]
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self.xlabel = "Velocity (m/s)"
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if self.CODE == 'spc_moments':
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x = self.data.xrange[2]
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self.xlabel = "Velocity (m/s)"
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self.titles = []
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y = self.data.heights
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self.y = y
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z = self.data['spc']
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for n, ax in enumerate(self.axes):
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noise = self.data['noise'][n][-1]
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if self.CODE == 'spc_moments':
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mean = self.data['moments'][n, :, 1, :][-1]
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if ax.firsttime:
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self.xmax = self.xmax if self.xmax else numpy.nanmax(x)
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self.xmin = self.xmin if self.xmin else -self.xmax
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self.zmin = self.zmin if self.zmin else numpy.nanmin(z)
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self.zmax = self.zmax if self.zmax else numpy.nanmax(z)
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ax.plt = ax.pcolormesh(x, y, z[n].T,
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vmin=self.zmin,
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vmax=self.zmax,
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cmap=plt.get_cmap(self.colormap)
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)
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if self.showprofile:
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ax.plt_profile = self.pf_axes[n].plot(
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self.data['rti'][n][-1], y)[0]
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ax.plt_noise = self.pf_axes[n].plot(numpy.repeat(noise, len(y)), y,
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color="k", linestyle="dashed", lw=1)[0]
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if self.CODE == 'spc_moments':
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ax.plt_mean = ax.plot(mean, y, color='k')[0]
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else:
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ax.plt.set_array(z[n].T.ravel())
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if self.showprofile:
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ax.plt_profile.set_data(self.data['rti'][n][-1], y)
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ax.plt_noise.set_data(numpy.repeat(noise, len(y)), y)
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if self.CODE == 'spc_moments':
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ax.plt_mean.set_data(mean, y)
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self.titles.append('CH {}: {:3.2f}dB'.format(n, noise))
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class CrossSpectraPlot(Plot):
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CODE = 'cspc'
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colormap = 'jet'
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plot_name = 'CrossSpectra'
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plot_type = 'pcolor'
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zmin_coh = None
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zmax_coh = None
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zmin_phase = None
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zmax_phase = None
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def setup(self):
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self.ncols = 4
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self.nrows = len(self.data.pairs)
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self.nplots = self.nrows * 4
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self.width = 3.4 * self.ncols
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self.height = 3 * self.nrows
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self.ylabel = 'Range [km]'
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self.showprofile = False
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self.plots_adjust.update({'bottom': 0.08})
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def plot(self):
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if self.xaxis == "frequency":
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x = self.data.xrange[0]
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self.xlabel = "Frequency (kHz)"
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elif self.xaxis == "time":
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x = self.data.xrange[1]
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self.xlabel = "Time (ms)"
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else:
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x = self.data.xrange[2]
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self.xlabel = "Velocity (m/s)"
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self.titles = []
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y = self.data.heights
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self.y = y
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spc = self.data['spc']
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cspc = self.data['cspc']
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for n in range(self.nrows):
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noise = self.data['noise'][n][-1]
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pair = self.data.pairs[n]
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ax = self.axes[4 * n]
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spc0 = 10.*numpy.log10(spc[pair[0]]/self.data.factor)
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if ax.firsttime:
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self.xmax = self.xmax if self.xmax else numpy.nanmax(x)
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self.xmin = self.xmin if self.xmin else -self.xmax
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self.zmin = self.zmin if self.zmin else numpy.nanmin(spc)
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self.zmax = self.zmax if self.zmax else numpy.nanmax(spc)
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ax.plt = ax.pcolormesh(x , y , spc0.T,
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vmin=self.zmin,
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vmax=self.zmax,
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cmap=plt.get_cmap(self.colormap)
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)
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else:
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ax.plt.set_array(spc0.T.ravel())
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self.titles.append('CH {}: {:3.2f}dB'.format(pair[0], noise))
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ax = self.axes[4 * n + 1]
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spc1 = 10.*numpy.log10(spc[pair[1]]/self.data.factor)
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if ax.firsttime:
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ax.plt = ax.pcolormesh(x , y, spc1.T,
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vmin=self.zmin,
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vmax=self.zmax,
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cmap=plt.get_cmap(self.colormap)
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)
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else:
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ax.plt.set_array(spc1.T.ravel())
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self.titles.append('CH {}: {:3.2f}dB'.format(pair[1], noise))
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out = cspc[n] / numpy.sqrt(spc[pair[0]] * spc[pair[1]])
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coh = numpy.abs(out)
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phase = numpy.arctan2(out.imag, out.real) * 180 / numpy.pi
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ax = self.axes[4 * n + 2]
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if ax.firsttime:
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ax.plt = ax.pcolormesh(x, y, coh.T,
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vmin=0,
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vmax=1,
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cmap=plt.get_cmap(self.colormap_coh)
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)
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else:
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ax.plt.set_array(coh.T.ravel())
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self.titles.append(
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'Coherence Ch{} * Ch{}'.format(pair[0], pair[1]))
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ax = self.axes[4 * n + 3]
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if ax.firsttime:
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ax.plt = ax.pcolormesh(x, y, phase.T,
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vmin=-180,
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vmax=180,
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cmap=plt.get_cmap(self.colormap_phase)
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)
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else:
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ax.plt.set_array(phase.T.ravel())
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self.titles.append('Phase CH{} * CH{}'.format(pair[0], pair[1]))
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class RTIPlot(Plot):
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'''
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Plot for RTI data
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'''
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CODE = 'rti'
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colormap = 'jet'
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plot_name = 'RTI'
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plot_type = 'pcolorbuffer'
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def setup(self):
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self.xaxis = 'time'
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self.ncols = 1
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self.nrows = len(self.data.channels)
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self.nplots = len(self.data.channels)
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self.ylabel = 'Range [km]'
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self.xlabel = 'Time'
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self.cb_label = 'dB'
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self.plots_adjust.update({'hspace':0.8, 'left': 0.1, 'bottom': 0.08, 'right':0.95})
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self.titles = ['{} Channel {}'.format(
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self.CODE.upper(), x) for x in range(self.nrows)]
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def plot(self):
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self.x = self.data.times
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self.y = self.data.heights
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self.z = self.data[self.CODE]
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self.z = numpy.ma.masked_invalid(self.z)
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if self.decimation is None:
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x, y, z = self.fill_gaps(self.x, self.y, self.z)
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else:
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x, y, z = self.fill_gaps(*self.decimate())
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for n, ax in enumerate(self.axes):
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self.zmin = self.zmin if self.zmin else numpy.min(self.z)
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self.zmax = self.zmax if self.zmax else numpy.max(self.z)
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if ax.firsttime:
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ax.plt = ax.pcolormesh(x, y, z[n].T,
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vmin=self.zmin,
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vmax=self.zmax,
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cmap=plt.get_cmap(self.colormap)
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)
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if self.showprofile:
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ax.plot_profile = self.pf_axes[n].plot(
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self.data['rti'][n][-1], self.y)[0]
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ax.plot_noise = self.pf_axes[n].plot(numpy.repeat(self.data['noise'][n][-1], len(self.y)), self.y,
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color="k", linestyle="dashed", lw=1)[0]
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else:
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ax.collections.remove(ax.collections[0])
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ax.plt = ax.pcolormesh(x, y, z[n].T,
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vmin=self.zmin,
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vmax=self.zmax,
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cmap=plt.get_cmap(self.colormap)
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)
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if self.showprofile:
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ax.plot_profile.set_data(self.data['rti'][n][-1], self.y)
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ax.plot_noise.set_data(numpy.repeat(
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self.data['noise'][n][-1], len(self.y)), self.y)
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class CoherencePlot(RTIPlot):
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'''
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Plot for Coherence data
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'''
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CODE = 'coh'
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plot_name = 'Coherence'
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def setup(self):
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self.xaxis = 'time'
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self.ncols = 1
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self.nrows = len(self.data.pairs)
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self.nplots = len(self.data.pairs)
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self.ylabel = 'Range [km]'
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self.xlabel = 'Time'
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self.plots_adjust.update({'hspace':0.6, 'left': 0.1, 'bottom': 0.1,'right':0.95})
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if self.CODE == 'coh':
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self.cb_label = ''
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self.titles = [
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'Coherence Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs]
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else:
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self.cb_label = 'Degrees'
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self.titles = [
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'Phase Map Ch{} * Ch{}'.format(x[0], x[1]) for x in self.data.pairs]
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class PhasePlot(CoherencePlot):
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'''
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Plot for Phase map data
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'''
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CODE = 'phase'
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colormap = 'seismic'
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plot_name = 'Phase'
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class NoisePlot(Plot):
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'''
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Plot for noise
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'''
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CODE = 'noise'
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plot_name = 'Noise'
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plot_type = 'scatterbuffer'
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def setup(self):
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self.xaxis = 'time'
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self.ncols = 1
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self.nrows = 1
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self.nplots = 1
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self.ylabel = 'Intensity [dB]'
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self.titles = ['Noise']
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self.colorbar = False
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def plot(self):
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x = self.data.times
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xmin = self.data.min_time
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xmax = xmin + self.xrange * 60 * 60
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Y = self.data[self.CODE]
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if self.axes[0].firsttime:
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for ch in self.data.channels:
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y = Y[ch]
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self.axes[0].plot(x, y, lw=1, label='Ch{}'.format(ch))
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plt.legend()
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else:
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for ch in self.data.channels:
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y = Y[ch]
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self.axes[0].lines[ch].set_data(x, y)
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self.ymin = numpy.nanmin(Y) - 5
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self.ymax = numpy.nanmax(Y) + 5
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class PowerProfilePlot(Plot):
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CODE = 'spcprofile'
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plot_name = 'Power Profile'
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plot_type = 'scatter'
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buffering = False
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def setup(self):
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self.ncols = 1
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self.nrows = 1
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self.nplots = 1
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self.height = 4
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self.width = 3
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self.ylabel = 'Range [km]'
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self.xlabel = 'Intensity [dB]'
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self.titles = ['Power Profile']
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self.colorbar = False
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def plot(self):
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y = self.data.heights
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self.y = y
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x = self.data['spcprofile']
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if self.xmin is None: self.xmin = numpy.nanmin(x)*0.9
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if self.xmax is None: self.xmax = numpy.nanmax(x)*1.1
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if self.axes[0].firsttime:
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for ch in self.data.channels:
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self.axes[0].plot(x[ch], y, lw=1, label='Ch{}'.format(ch))
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plt.legend()
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else:
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for ch in self.data.channels:
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self.axes[0].lines[ch].set_data(x[ch], y)
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class SpectraCutPlot(Plot):
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CODE = 'spc_cut'
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plot_name = 'Spectra Cut'
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plot_type = 'scatter'
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buffering = False
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def setup(self):
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self.nplots = len(self.data.channels)
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self.ncols = int(numpy.sqrt(self.nplots) + 0.9)
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self.nrows = int((1.0 * self.nplots / self.ncols) + 0.9)
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self.width = 3.4 * self.ncols + 1.5
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self.height = 3 * self.nrows
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self.ylabel = 'Power [dB]'
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self.colorbar = False
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self.plots_adjust.update({'left':0.1, 'hspace':0.3, 'right': 0.75, 'bottom':0.08})
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def plot(self):
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if self.xaxis == "frequency":
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x = self.data.xrange[0][1:]
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self.xlabel = "Frequency (kHz)"
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elif self.xaxis == "time":
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x = self.data.xrange[1]
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self.xlabel = "Time (ms)"
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else:
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x = self.data.xrange[2]
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self.xlabel = "Velocity (m/s)"
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self.titles = []
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y = self.data.heights
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#self.y = y
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z = self.data['spc_cut']
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if self.height_index:
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index = numpy.array(self.height_index)
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else:
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index = numpy.arange(0, len(y), int((len(y))/9))
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for n, ax in enumerate(self.axes):
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if ax.firsttime:
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self.xmax = self.xmax if self.xmax else numpy.nanmax(x)
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self.xmin = self.xmin if self.xmin else -self.xmax
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self.ymin = self.ymin if self.ymin else numpy.nanmin(z)
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self.ymax = self.ymax if self.ymax else numpy.nanmax(z)
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ax.plt = ax.plot(x, z[n, :, index].T)
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labels = ['Range = {:2.1f}km'.format(y[i]) for i in index]
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self.figures[0].legend(ax.plt, labels, loc='center right')
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else:
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for i, line in enumerate(ax.plt):
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line.set_data(x, z[n, :, i])
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self.titles.append('CH {}'.format(n))
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class BeaconPhase(Plot):
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__isConfig = None
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__nsubplots = None
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PREFIX = 'beacon_phase'
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def __init__(self):
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Plot.__init__(self)
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self.timerange = 24*60*60
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self.isConfig = False
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self.__nsubplots = 1
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self.counter_imagwr = 0
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self.WIDTH = 800
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self.HEIGHT = 400
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self.WIDTHPROF = 120
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self.HEIGHTPROF = 0
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self.xdata = None
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self.ydata = None
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self.PLOT_CODE = BEACON_CODE
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self.FTP_WEI = None
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self.EXP_CODE = None
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self.SUB_EXP_CODE = None
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self.PLOT_POS = None
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self.filename_phase = None
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self.figfile = None
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self.xmin = None
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self.xmax = None
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def getSubplots(self):
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ncol = 1
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nrow = 1
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return nrow, ncol
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def setup(self, id, nplots, wintitle, showprofile=True, show=True):
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self.__showprofile = showprofile
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self.nplots = nplots
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ncolspan = 7
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colspan = 6
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self.__nsubplots = 2
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self.createFigure(id = id,
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wintitle = wintitle,
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widthplot = self.WIDTH+self.WIDTHPROF,
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heightplot = self.HEIGHT+self.HEIGHTPROF,
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show=show)
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nrow, ncol = self.getSubplots()
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self.addAxes(nrow, ncol*ncolspan, 0, 0, colspan, 1)
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def save_phase(self, filename_phase):
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f = open(filename_phase,'w+')
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f.write('\n\n')
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f.write('JICAMARCA RADIO OBSERVATORY - Beacon Phase \n')
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f.write('DD MM YYYY HH MM SS pair(2,0) pair(2,1) pair(2,3) pair(2,4)\n\n' )
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f.close()
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def save_data(self, filename_phase, data, data_datetime):
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f=open(filename_phase,'a')
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timetuple_data = data_datetime.timetuple()
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day = str(timetuple_data.tm_mday)
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month = str(timetuple_data.tm_mon)
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year = str(timetuple_data.tm_year)
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hour = str(timetuple_data.tm_hour)
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minute = str(timetuple_data.tm_min)
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second = str(timetuple_data.tm_sec)
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f.write(day+' '+month+' '+year+' '+hour+' '+minute+' '+second+' '+str(data[0])+' '+str(data[1])+' '+str(data[2])+' '+str(data[3])+'\n')
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f.close()
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def plot(self):
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log.warning('TODO: Not yet implemented...')
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def run(self, dataOut, id, wintitle="", pairsList=None, showprofile='True',
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xmin=None, xmax=None, ymin=None, ymax=None, hmin=None, hmax=None,
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timerange=None,
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save=False, figpath='./', figfile=None, show=True, ftp=False, wr_period=1,
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server=None, folder=None, username=None, password=None,
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ftp_wei=0, exp_code=0, sub_exp_code=0, plot_pos=0):
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if dataOut.flagNoData:
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return dataOut
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if not isTimeInHourRange(dataOut.datatime, xmin, xmax):
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return
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if pairsList == None:
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pairsIndexList = dataOut.pairsIndexList[:10]
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else:
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pairsIndexList = []
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for pair in pairsList:
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if pair not in dataOut.pairsList:
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raise ValueError("Pair %s is not in dataOut.pairsList" %(pair))
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pairsIndexList.append(dataOut.pairsList.index(pair))
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if pairsIndexList == []:
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return
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# if len(pairsIndexList) > 4:
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# pairsIndexList = pairsIndexList[0:4]
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hmin_index = None
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hmax_index = None
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if hmin != None and hmax != None:
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indexes = numpy.arange(dataOut.nHeights)
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hmin_list = indexes[dataOut.heightList >= hmin]
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hmax_list = indexes[dataOut.heightList <= hmax]
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if hmin_list.any():
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hmin_index = hmin_list[0]
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if hmax_list.any():
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hmax_index = hmax_list[-1]+1
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x = dataOut.getTimeRange()
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#y = dataOut.getHeiRange()
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thisDatetime = dataOut.datatime
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title = wintitle + " Signal Phase" # : %s" %(thisDatetime.strftime("%d-%b-%Y"))
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xlabel = "Local Time"
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ylabel = "Phase (degrees)"
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update_figfile = False
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nplots = len(pairsIndexList)
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#phase = numpy.zeros((len(pairsIndexList),len(dataOut.beacon_heiIndexList)))
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phase_beacon = numpy.zeros(len(pairsIndexList))
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for i in range(nplots):
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pair = dataOut.pairsList[pairsIndexList[i]]
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ccf = numpy.average(dataOut.data_cspc[pairsIndexList[i], :, hmin_index:hmax_index], axis=0)
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powa = numpy.average(dataOut.data_spc[pair[0], :, hmin_index:hmax_index], axis=0)
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powb = numpy.average(dataOut.data_spc[pair[1], :, hmin_index:hmax_index], axis=0)
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avgcoherenceComplex = ccf/numpy.sqrt(powa*powb)
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phase = numpy.arctan2(avgcoherenceComplex.imag, avgcoherenceComplex.real)*180/numpy.pi
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if dataOut.beacon_heiIndexList:
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phase_beacon[i] = numpy.average(phase[dataOut.beacon_heiIndexList])
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else:
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phase_beacon[i] = numpy.average(phase)
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|
|
if not self.isConfig:
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|
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nplots = len(pairsIndexList)
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self.setup(id=id,
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nplots=nplots,
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|
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wintitle=wintitle,
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|
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showprofile=showprofile,
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|
|
show=show)
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|
|
if timerange != None:
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|
|
self.timerange = timerange
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|
|
self.xmin, self.xmax = self.getTimeLim(x, xmin, xmax, timerange)
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|
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if ymin == None: ymin = 0
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|
if ymax == None: ymax = 360
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|
|
self.FTP_WEI = ftp_wei
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|
|
self.EXP_CODE = exp_code
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|
|
self.SUB_EXP_CODE = sub_exp_code
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|
|
self.PLOT_POS = plot_pos
|
|
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|
|
|
self.name = thisDatetime.strftime("%Y%m%d_%H%M%S")
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|
|
self.isConfig = True
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|
|
self.figfile = figfile
|
|
|
self.xdata = numpy.array([])
|
|
|
self.ydata = numpy.array([])
|
|
|
|
|
|
update_figfile = True
|
|
|
|
|
|
#open file beacon phase
|
|
|
path = '%s%03d' %(self.PREFIX, self.id)
|
|
|
beacon_file = os.path.join(path,'%s.txt'%self.name)
|
|
|
self.filename_phase = os.path.join(figpath,beacon_file)
|
|
|
#self.save_phase(self.filename_phase)
|
|
|
|
|
|
|
|
|
#store data beacon phase
|
|
|
#self.save_data(self.filename_phase, phase_beacon, thisDatetime)
|
|
|
|
|
|
self.setWinTitle(title)
|
|
|
|
|
|
|
|
|
title = "Phase Plot %s" %(thisDatetime.strftime("%Y/%m/%d %H:%M:%S"))
|
|
|
|
|
|
legendlabels = ["Pair (%d,%d)"%(pair[0], pair[1]) for pair in dataOut.pairsList]
|
|
|
|
|
|
axes = self.axesList[0]
|
|
|
|
|
|
self.xdata = numpy.hstack((self.xdata, x[0:1]))
|
|
|
|
|
|
if len(self.ydata)==0:
|
|
|
self.ydata = phase_beacon.reshape(-1,1)
|
|
|
else:
|
|
|
self.ydata = numpy.hstack((self.ydata, phase_beacon.reshape(-1,1)))
|
|
|
|
|
|
|
|
|
axes.pmultilineyaxis(x=self.xdata, y=self.ydata,
|
|
|
xmin=self.xmin, xmax=self.xmax, ymin=ymin, ymax=ymax,
|
|
|
xlabel=xlabel, ylabel=ylabel, title=title, legendlabels=legendlabels, marker='x', markersize=8, linestyle="solid",
|
|
|
XAxisAsTime=True, grid='both'
|
|
|
)
|
|
|
|
|
|
self.draw()
|
|
|
|
|
|
if dataOut.ltctime >= self.xmax:
|
|
|
self.counter_imagwr = wr_period
|
|
|
self.isConfig = False
|
|
|
update_figfile = True
|
|
|
|
|
|
self.save(figpath=figpath,
|
|
|
figfile=figfile,
|
|
|
save=save,
|
|
|
ftp=ftp,
|
|
|
wr_period=wr_period,
|
|
|
thisDatetime=thisDatetime,
|
|
|
update_figfile=update_figfile)
|
|
|
|
|
|
return dataOut
|
