def _create_series(ndschan, value, start, end, series_class=TimeSeries):
channel = Channel.from_nds2(ndschan)<EOL>nsamp = int((end - start) * channel.sample_rate.value)<EOL>return series_class(numpy_ones(nsamp) * value, t0=start,<EOL>sample_rate=channel.sample_rate, unit=channel.unit,<EOL>channel=channel)<EOL>
Create a timeseries to cover the specified [start, end) limits

    To cover a gap in data returned from NDS