Data table histograms¶

The EventTable object comes with a hist() method, allowing trivial generation of histograms using any column as the counter:

EventTable.hist(column, **kwargs)[source]

Generate a HistogramPlot of this Table.

Parameters:	column : str name of the column over which to histogram data **kwargs any other arguments applicable to the HistogramPlot
Returns:	plot : HistogramPlot new plot displaying a histogram of this Table.

Using the above method we can generate a histogram as follows

>>> from gwpy.table import EventTable
>>> events = EventTable.read('H1-LDAS_STRAIN-968654552-10.xml.gz', tablename='sngl_burst', columns=['snr'])
>>> plot = events.hist('snr', weights=1/10., logbins=True, bins=50, histtype='stepfilled')
>>> ax = plot.gca()
>>> ax.set_xlabel('Signal-to-noise ratio (SNR)')
>>> ax.set_ylabel('Rate [Hz]')
>>> ax.set_title('LHO event triggers for HW100916')
>>> ax.autoscale(axis='x', tight=True)
>>> plot.show()

(png)

This is a snippet from the example Plotting an EventTable in a histogram.