DatetimeIndex.asi8

DatetimeIndex.asi8

DatetimeIndex.argmin()

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

DatetimeIndex.argsort()

DatetimeIndex.argsort(*args, **kwargs) [source] Returns the indices that would sort the index and its underlying data. Returns: argsorted : numpy array See also numpy.ndarray.argsort

DatetimeIndex.argmax()

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

DatetimeIndex.any()

DatetimeIndex.any(other=None) [source]

DatetimeIndex.append()

DatetimeIndex.append(other) [source] Append a collection of Index options together Parameters: other : Index or list/tuple of indices Returns: appended : Index

DatetimeIndex.all()

DatetimeIndex.all(other=None) [source]

DataFrameGroupBy.take()

DataFrameGroupBy.take(indices, axis=0, convert=True, is_copy=True, **kwargs) Analogous to ndarray.take Parameters: indices : list / array of ints axis : int, default 0 convert : translate neg to pos indices (default) is_copy : mark the returned frame as a copy Returns: taken : type of caller

DataFrameGroupBy.skew()

DataFrameGroupBy.skew(axis=None, skipna=None, level=None, numeric_only=None, **kwargs) Return unbiased skew over requested axis Normalized by N-1 Parameters: axis : {index (0), columns (1)} skipna : boolean, default True Exclude NA/null values. If an entire row/column is NA, the result will be NA level : int or level name, default None If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series numeric_only : boolean, default None Include only

DataFrameGroupBy.tshift()

DataFrameGroupBy.tshift(periods=1, freq=None, axis=0) Shift the time index, using the index?s frequency if available. Parameters: periods : int Number of periods to move, can be positive or negative freq : DateOffset, timedelta, or time rule string, default None Increment to use from the tseries module or time rule (e.g. ?EOM?) axis : int or basestring Corresponds to the axis that contains the Index Returns: shifted : NDFrame Notes If freq is not specified then tries to use the fr