Panel4D.isnull() [source] Return a boolean same-sized object indicating if the values are null. See also notnull boolean inverse of isnull

DataFrame.to_timestamp(freq=None, how='start', axis=0, copy=True) [source] Cast to DatetimeIndex of timestamps, at beginning of period Parameters: freq : string, default frequency of PeriodIndex Desired frequency how : {?s?, ?e?, ?start?, ?end?} Convention for converting period to timestamp; start of period vs. end axis : {0 or ?index?, 1 or ?columns?}, default 0 The axis to convert (the index by default) copy : boolean, default True If false then underlying input data is not copied

GroupBy.get_group(name, obj=None) [source] Constructs NDFrame from group with provided name Parameters: name : object the name of the group to get as a DataFrame obj : NDFrame, default None the NDFrame to take the DataFrame out of. If it is None, the object groupby was called on will be used Returns: group : type of obj

Series.unique() [source] Return np.ndarray of unique values in the object. Significantly faster than numpy.unique. Includes NA values. The order of the original is preserved. Returns: uniques : np.ndarray

Series.set_axis(axis, labels) [source] public verson of axis assignment

Panel.sample(n=None, frac=None, replace=False, weights=None, random_state=None, axis=None) [source] Returns a random sample of items from an axis of object. New in version 0.16.1. Parameters: n : int, optional Number of items from axis to return. Cannot be used with frac. Default = 1 if frac = None. frac : float, optional Fraction of axis items to return. Cannot be used with n. replace : boolean, optional Sample with or without replacement. Default = False. weights : str or ndarray

Series.nsmallest(*args, **kwargs) [source] Return the smallest n elements. Parameters: n : int Return this many ascending sorted values keep : {?first?, ?last?, False}, default ?first? Where there are duplicate values: - first : take the first occurrence. - last : take the last occurrence. take_last : deprecated Returns: bottom_n : Series The n smallest values in the Series, in sorted order See also Series.nlargest Notes Faster than .sort_values().head(n) for small n relative to

MultiIndex.base return the base object if the memory of the underlying data is shared

Series.str.isalpha() [source] Check whether all characters in each string in the Series/Index are alphabetic. Equivalent to str.isalpha(). Returns: is : Series/array of boolean values

Expanding.median(**kwargs) [source] expanding median Parameters: how : string, default ?median? (DEPRECATED) Method for down- or re-sampling Returns: same type as input See also pandas.Series.expanding, pandas.DataFrame.expanding