DatetimeIndex.identical(other) [source] Similar to equals, but check that other comparable attributes are also equal

DatetimeIndex.nbytes return the number of bytes in the underlying data

Panel.tail(n=5) [source]

MultiIndex.view(cls=None) [source] this is defined as a copy with the same identity

Series.hasnans = None

DatetimeIndex.argmin(axis=None, *args, **kwargs) [source] Returns the indices of the minimum values along an axis. See numpy.ndarray.argmin for more information on the axis parameter. See also numpy.ndarray.argmin

Series.dt.hour The hours of the datetime

DataFrame.T Transpose index and columns

Series.get_values() [source] same as values (but handles sparseness conversions); is a view

DataFrame memory usage As of pandas version 0.15.0, the memory usage of a dataframe (including the index) is shown when accessing the info method of a dataframe. A configuration option, display.memory_usage (see Options and Settings), specifies if the dataframe?s memory usage will be displayed when invoking the df.info() method. For example, the memory usage of the dataframe below is shown when calling df.info(): In [1]: dtypes = ['int64', 'float64', 'datetime64[ns]', 'timedelta64[ns]', ..