def main(): x = np.random.normal(0, 50, 50000) y = np.random.normal(0, 15, 50000) ranges = ([(-100, 0), (-50, 0)], [(0, 100), (-50, 0)], [(-100, 0), (0, 50)], [(0, 100), (0, 50)]) types = ('reverse_bw', 'bw', 'reverse_bw', 'bw') bitmaps = (True, True, False, False) plot = Plot() for r, t, b in zip(ranges, types, bitmaps): n, xbins, ybins = np.histogram2d(x, y, bins=15, range=r) plot.histogram2d(n, xbins, ybins, type=t, bitmap=b) plot.save('histogram2d') plot = MultiPlot(2, 2, width=r'.5\linewidth') subplot_idxs = [(1, 0), (1, 1), (0, 0), (0, 1)] for idx, r, t, b in zip(subplot_idxs, ranges, types, bitmaps): p = plot.get_subplot_at(*idx) n, xbins, ybins = np.histogram2d(x, y, bins=15, range=r) p.histogram2d(n, xbins, ybins, type=t, bitmap=b) plot.show_yticklabels_for_all([(1, 0), (0, 1)]) plot.show_xticklabels_for_all([(1, 0), (0, 1)]) plot.save('multi_histogram2d')
def main(): x = np.arange(10) y = (x / 2.0) - 3.0 colors = ["black", "red", "blue", "yellow", "purple"] plot = Plot() for i in range(5): plot.plot(x, y - i, mark="", linestyle=colors[i]) plot.set_axis_options( "yticklabel pos=right,\n" "grid=major,\n" "legend entries={$a$,[red]$b$,[green]$c$,$d$,$a^2$},\n" "legend pos=north west" ) plot.set_xlabel("Something important") plot.set_ylabel("A related thing") plot.save("any_option") x = np.linspace(0.6 * np.pi, 10 * np.pi, 150) y = np.sin(x) / x plot = MultiPlot(1, 2, width=r".4\linewidth", height=r".25\linewidth") subplot = plot.get_subplot_at(0, 0) subplot.plot(x, y, mark=None) subplot = plot.get_subplot_at(0, 1) subplot.plot(x, y, mark=None) plot.show_xticklabels_for_all([(0, 0), (0, 1)]) plot.show_yticklabels(0, 1) plot.set_axis_options(0, 1, "yticklabel pos=right, grid=major") plot.set_axis_options_for_all(None, r"enlargelimits=false") plot.set_xlabel("Something important") plot.set_ylabel("A related thing") plot.save("multi_any_option")
def main(): """Event display for an event of station 503 Date Time Timestamp Nanoseconds 2012-03-29 10:51:36 1333018296 870008589 Number of MIPs 35.0 51.9 35.8 78.9 Arrival time 15.0 17.5 20.0 27.5 """ # Detector positions in ENU relative to the station GPS x = [-6.34, -2.23, -3.6, 3.46] y = [6.34, 2.23, -3.6, 3.46] # Scale mips to fit the graph n = [35.0, 51.9, 35.8, 78.9] # Make times relative to first detection t = [15., 17.5, 20., 27.5] dt = [ti - min(t) for ti in t] plot = Plot() plot.scatter([0], [0], mark='triangle') plot.add_pin_at_xy(0, 0, 'Station 503', use_arrow=False, location='below') plot.scatter_table(x, y, dt, n) plot.set_scalebar(location="lower right") plot.set_colorbar('$\Delta$t [ns]') plot.set_axis_equal() plot.set_mlimits(max=16.) plot.set_slimits(min=10., max=100.) plot.set_xlabel('x [m]') plot.set_ylabel('y [m]') plot.save('event_display') # Add event by Station 508 # Detector positions in ENU relative to the station GPS x508 = [6.12, 0.00, -3.54, 3.54] y508 = [-6.12, -13.23, -3.54, 3.54] # Event GPS timestamp: 1371498167.016412100 # MIPS n508 = [5.6, 16.7, 36.6, 9.0] # Arrival Times t508 = [15., 22.5, 22.5, 30.] dt508 = [ti - min(t508) for ti in t508] plot = MultiPlot(1, 2, width=r'.33\linewidth') plot.set_xlimits_for_all(min=-10, max=15) plot.set_ylimits_for_all(min=-15, max=10) plot.set_mlimits_for_all(min=0., max=16.) plot.set_colorbar('$\Delta$t [ns]', False) plot.set_colormap('blackwhite') plot.set_scalebar_for_all(location="upper right") p = plot.get_subplot_at(0, 0) p.scatter([0], [0], mark='triangle') p.add_pin_at_xy(0, 0, 'Station 503', use_arrow=False, location='below') p.scatter_table(x, y, dt, n) p.set_axis_equal() p = plot.get_subplot_at(0, 1) p.scatter([0], [0], mark='triangle') p.add_pin_at_xy(0, 0, 'Station 508', use_arrow=False, location='below') p.scatter_table(x508, y508, dt508, n508) p.set_axis_equal() plot.show_yticklabels_for_all([(0, 0)]) plot.show_xticklabels_for_all([(0, 0), (0, 1)]) plot.set_xlabel('x [m]') plot.set_ylabel('y [m]') plot.save('multi_event_display')