MultiIndex.slice_locs(start=None, end=None, step=None, kind=None) [source] For an ordered MultiIndex, compute the slice locations for input labels. They can be tuples representing partial levels, e.g. for a MultiIndex with 3 levels, you can pass a single value (corresponding to the first level), or a 1-, 2-, or 3-tuple. Parameters: start : label or tuple, default None If None, defaults to the beginning end : label or tuple If None, defaults to the end step : int or None Slice step ki

Resampler.sem(_method='sem', *args, **kwargs) [source] Compute standard error of the mean of groups, excluding missing values For multiple groupings, the result index will be a MultiIndex Parameters: ddof : integer, default 1 degrees of freedom See also pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby

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

DataFrameGroupBy.describe(percentiles=None, include=None, exclude=None) Generate various summary statistics, excluding NaN values. Parameters: percentiles : array-like, optional The percentiles to include in the output. Should all be in the interval [0, 1]. By default percentiles is [.25, .5, .75], returning the 25th, 50th, and 75th percentiles. include, exclude : list-like, ?all?, or None (default) Specify the form of the returned result. Either: None to both (default). The result will

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

DataFrame.drop(labels, axis=0, level=None, inplace=False, errors='raise') [source] Return new object with labels in requested axis removed. Parameters: labels : single label or list-like axis : int or axis name level : int or level name, default None For MultiIndex inplace : bool, default False If True, do operation inplace and return None. errors : {?ignore?, ?raise?}, default ?raise? If ?ignore?, suppress error and existing labels are dropped. New in version 0.16.1. Returns: dr

Series.str.join(sep) [source] Join lists contained as elements in the Series/Index with passed delimiter. Equivalent to str.join(). Parameters: sep : string Delimiter Returns: joined : Series/Index of objects

Index.argmax(axis=None) [source] return a ndarray of the maximum argument indexer See also numpy.ndarray.argmax

Panel4D.dtypes Return the dtypes in this object.

Series.reset_index(level=None, drop=False, name=None, inplace=False) [source] Analogous to the pandas.DataFrame.reset_index() function, see docstring there. Parameters: level : int, str, tuple, or list, default None Only remove the given levels from the index. Removes all levels by default drop : boolean, default False Do not try to insert index into dataframe columns name : object, default None The name of the column corresponding to the Series values inplace : boolean, default Fals