From 63ac0107d01b440993ad7de88b4042888c4b92c6 Mon Sep 17 00:00:00 2001 From: Sebastian Wehling-Benatelli Date: Wed, 11 May 2016 06:01:26 +0200 Subject: [PATCH] [edit] implemented a plotting method for pdf dictionaries --- pylot/core/pick/compare.py | 70 ++++++++++++++++++++++++++++++++++++-- 1 file changed, 67 insertions(+), 3 deletions(-) diff --git a/pylot/core/pick/compare.py b/pylot/core/pick/compare.py index 74a193ac..2be4d7aa 100644 --- a/pylot/core/pick/compare.py +++ b/pylot/core/pick/compare.py @@ -86,8 +86,8 @@ class Comparison(object): """ compare_pdfs = dict() - pdf_a = self.get(self.names[0]).pdf_data(type) - pdf_b = self.get(self.names[1]).pdf_data(type) + pdf_a = self.get(self.names[0]).generate_pdf_data(type) + pdf_b = self.get(self.names[1]).generate_pdf_data(type) for station, phases in pdf_a.items(): if station in pdf_b.keys(): @@ -206,6 +206,7 @@ class PDFDictionary(object): def __init__(self, data): self._pickdata = data + self._pdfdata = self.generate_pdf_data() def __nonzero__(self): if len(self.pick_data) < 1: @@ -213,6 +214,14 @@ class PDFDictionary(object): else: return True + @property + def pdf_data(self): + return self._pdfdata + + @pdf_data.setter + def pdf_data(self, data): + self._pdfdata = data + @property def pick_data(self): return self._pickdata @@ -221,6 +230,14 @@ class PDFDictionary(object): def pick_data(self, data): self._pickdata = data + @property + def stations(self): + return self.pick_data.keys() + + @property + def nstations(self): + return len(self.stations) + @classmethod def from_quakeml(self, fn): cat = read_events(fn) @@ -229,7 +246,7 @@ class PDFDictionary(object): 'time is not implemented yet! Sorry!') return PDFDictionary(picksdict_from_picks(cat[0])) - def pdf_data(self, type='exp'): + def generate_pdf_data(self, type='exp'): """ Returns probabiliy density function dictionary containing the representation of the actual pick_data. @@ -251,3 +268,50 @@ class PDFDictionary(object): return pdf_picks + def plot(self, stations=None): + assert stations is not None or not isinstance(stations, list), \ + 'parameter stations should be a list not {0}'.format(type(stations)) + if not stations: + nstations = self.nstations + stations = self.stations + else: + nstations = len(stations) + + istations = range(nstations) + fig, axarr = plt.subplots(nstations, 2, sharex='col', sharey='row') + + for n in istations: + station = stations[n] + pdfs = self.pdf_data[station] + for l, phase in enumerate(pdfs.keys()): + hide_labels = True + try: + axarr[n, l].plot(pdfs[phase].axis, pdfs[phase].data) + if n is 0: + axarr[n, l].set_title(phase) + if l is 0: + axann = axarr[n, l].annotate(station, xy=(.05, .5), + xycoords='axes fraction') + bbox_props = dict(boxstyle='round', facecolor='lightgrey', + alpha=.7) + axann.set_bbox(bbox_props) + if n == int(np.median(istations)) and l is 0: + label = 'probability density (qualitative)' + axarr[n, l].set_ylabel(label) + except IndexError as e: + print('trying aligned plotting\n{0}'.format(e)) + hide_labels = False + axarr[l].plot(pdfs[phase].axis, pdfs[phase].data) + axarr[l].set_title(phase) + if l is 0: + axann = axarr[l].annotate(station, xy=(.05, .5), + xycoords='axes fraction') + bbox_props = dict(boxstyle='round', facecolor='lightgrey', + alpha=.7) + axann.set_bbox(bbox_props) + if hide_labels: + plt.setp([a.get_xticklabels() for a in axarr[0, :]], visible=False) + plt.setp([a.get_yticklabels() for a in axarr[:, 1]], visible=False) + plt.setp([a.get_yticklabels() for a in axarr[:, 0]], visible=False) + + plt.show()