Panel.at_time(time, asof=False) [source] Select values at particular time of day (e.g. 9:30AM). Parameters: time : datetime.time or string Returns: values_at_time : type of caller

Panel4D.gt(other, axis=None) [source] Wrapper for comparison method gt

DataFrame.bfill(axis=None, inplace=False, limit=None, downcast=None) [source] Synonym for NDFrame.fillna(method=?bfill?)

Resampler.first(_method='first', *args, **kwargs) [source] Compute first of group values See also pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby

Panel.to_excel(path, na_rep='', engine=None, **kwargs) [source] Write each DataFrame in Panel to a separate excel sheet Parameters: path : string or ExcelWriter object File path or existing ExcelWriter na_rep : string, default ?? Missing data representation engine : string, default None write engine to use - you can also set this via the options io.excel.xlsx.writer, io.excel.xls.writer, and io.excel.xlsm.writer. Other Parameters: float_format : string, default None Format string

CategoricalIndex.name = None

Panel4D.keys() [source] Get the ?info axis? (see Indexing for more) This is index for Series, columns for DataFrame and major_axis for Panel.

MultiIndex.order(return_indexer=False, ascending=True) [source] Return sorted copy of Index DEPRECATED: use Index.sort_values()

Series.plot.density(**kwds) [source] Kernel Density Estimate plot New in version 0.17.0. Parameters: **kwds : optional Keyword arguments to pass on to pandas.Series.plot(). Returns: axes : matplotlib.AxesSubplot or np.array of them

GroupBy.median() [source] Compute median of groups, excluding missing values For multiple groupings, the result index will be a MultiIndex See also pandas.Series.groupby, pandas.DataFrame.groupby, pandas.Panel.groupby