DataFrame.slice_shift(periods=1, axis=0) [source] Equivalent to shift without copying data. The shifted data will not include the dropped periods and the shifted axis will be smaller than the original. Parameters: periods : int Number of periods to move, can be positive or negative Returns: shifted : same type as caller Notes While the slice_shift is faster than shift, you may pay for it later during alignment.

Series.clip_upper(threshold, axis=None) [source] Return copy of input with values above given value(s) truncated. Parameters: threshold : float or array_like axis : int or string axis name, optional Align object with threshold along the given axis. Returns: clipped : same type as input See also clip

CategoricalIndex.size return the number of elements in the underlying data

DatetimeIndex.to_datetime(dayfirst=False) [source]

Panel4D.to_pickle(path) [source] Pickle (serialize) object to input file path. Parameters: path : string File path

Index.is_monotonic_decreasing return if the index is monotonic decreasing (only equal or decreasing) values.

MultiIndex.is_unique = None

DataFrame.to_pickle(path) [source] Pickle (serialize) object to input file path. Parameters: path : string File path

DatetimeIndex.round(freq, *args, **kwargs) [source] round the index to the specified freq Parameters: freq : freq string/object Returns: index of same type Raises: ValueError if the freq cannot be converted

Panel4D.prod(axis=None, skipna=None, level=None, numeric_only=None, **kwargs) [source] Return the product of the values for the requested axis Parameters: axis : {labels (0), items (1), major_axis (2), minor_axis (3)} 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 Panel numeric_only : boolean,