Plotting tabular data

Plotting event triggers

The EventTable class provides a convenience instance method to plot() events by specifying the columns to use for the x-axis, y-axis, and optionally colouring:

>>> from gwpy.table import EventTable
>>> events = EventTable.read('H1-LDAS_STRAIN-968654552-10.xml.gz', tablename='sngl_burst', columns=['peak', 'central_freq', 'snr'])
>>> plot = events.scatter('peak', 'central_freq', color='snr')
>>> ax = plot.gca()
>>> ax.set_epoch(968654552)
>>> ax.set_yscale('log')
>>> ax.set_ylabel('Frequency [Hz]')
>>> plot.add_colorbar(clim=[1, 10], cmap='YlGnBu', log=True, label='Signal-to-noise ratio (SNR)')

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../../_images/plot-1.png

Plotting event tiles

Many types of event triggers define a 2-dimensional tile, for example in time and frequency. These tiles can be plotted in a similar manner to simple triggers.

>>> events = EventTable.read('H1-LDAS_STRAIN-968654552-10.xml.gz', tablename='sngl_burst', columns=['peak', 'central_freq', 'snr', 'duration', 'bandwidth'])
>>> plot = events.tile('peak', 'central_freq', 'duration', 'bandwidth', color='snr')
>>> ax = plot.gca()
>>> ax.set_epoch(968654552)
>>> ax.set_yscale('log')
>>> ax.set_ylabel('Frequency [Hz]')
>>> plot.add_colorbar(clim=[1, 10], cmap='YlGnBu', log=True, label='Signal-to-noise ratio (SNR)')
../../_images/plot-2_00.png

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../../_images/plot-2_01.png

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These code snippets are part of the example Plotting an EventTable as 2-d tiles.