Index.is_(other)
DatetimeIndex.nbytes return the number of bytes in the underlying data
Series.to_hdf(path_or_buf, key, **kwargs)
Series.last(offset)
DataFrame.pipe(func, *args, **kwargs)
Series.head(n=5)
DatetimeIndex.dropna(how='any')
MultiIndex.tolist()
CategoricalIndex.identical(other)
CategoricalIndex.is_floating()
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