GroupBy.prod()

GroupBy.prod() [source] Compute prod of group values See also pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby

DatetimeIndex.is_boolean()

DatetimeIndex.is_boolean() [source]

CategoricalIndex.tolist()

CategoricalIndex.tolist() [source] return a list of the Index values

DatetimeIndex.get_slice_bound()

DatetimeIndex.get_slice_bound(label, side, kind) [source] Calculate slice bound that corresponds to given label. Returns leftmost (one-past-the-rightmost if side=='right') position of given label. Parameters: label : object side : {?left?, ?right?} kind : {?ix?, ?loc?, ?getitem?}

CategoricalIndex.to_datetime()

CategoricalIndex.to_datetime(dayfirst=False) [source] DEPRECATED: use pandas.to_datetime() instead. For an Index containing strings or datetime.datetime objects, attempt conversion to DatetimeIndex

DatetimeIndex.round()

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

DataFrame.swapaxes()

DataFrame.swapaxes(axis1, axis2, copy=True) [source] Interchange axes and swap values axes appropriately Returns: y : same as input

Series.tz_localize()

Series.tz_localize(*args, **kwargs) [source] Localize tz-naive TimeSeries to target time zone. Parameters: tz : string or pytz.timezone object axis : the axis to localize level : int, str, default None If axis ia a MultiIndex, localize a specific level. Otherwise must be None copy : boolean, default True Also make a copy of the underlying data ambiguous : ?infer?, bool-ndarray, ?NaT?, default ?raise? ?infer? will attempt to infer fall dst-transition hours based on order bool-ndarray w

DatetimeIndex.where()

DatetimeIndex.where(cond, other=None) [source] New in version 0.19.0. Return an Index of same shape as self and whose corresponding entries are from self where cond is True and otherwise are from other. Parameters: cond : boolean same length as self other : scalar, or array-like

Panel.shape

Panel.shape Return a tuple of axis dimensions