Panel.iteritems() [source] Iterate over (label, values) on info axis This is index for Series, columns for DataFrame, major_axis for Panel, and so on.

Panel.ix A primarily label-location based indexer, with integer position fallback. .ix[] supports mixed integer and label based access. It is primarily label based, but will fall back to integer positional access unless the corresponding axis is of integer type. .ix is the most general indexer and will support any of the inputs in .loc and .iloc. .ix also supports floating point label schemes. .ix is exceptionally useful when dealing with mixed positional and label based hierachical indexes

Panel.is_copy = None

Panel.interpolate(method='linear', axis=0, limit=None, inplace=False, limit_direction='forward', downcast=None, **kwargs) [source] Interpolate values according to different methods. Please note that only method='linear' is supported for DataFrames/Series with a MultiIndex. Parameters: method : {?linear?, ?time?, ?index?, ?values?, ?nearest?, ?zero?, ?slinear?, ?quadratic?, ?cubic?, ?barycentric?, ?krogh?, ?polynomial?, ?spline?, ?piecewise_polynomial?, ?from_derivatives?, ?pchip?, ?akima

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

Panel.iat Fast integer location scalar accessor. Similarly to iloc, iat provides integer based lookups. You can also set using these indexers.

Panel.iloc Purely integer-location based indexing for selection by position. .iloc[] is primarily integer position based (from 0 to length-1 of the axis), but may also be used with a boolean array. Allowed inputs are: An integer, e.g. 5. A list or array of integers, e.g. [4, 3, 0]. A slice object with ints, e.g. 1:7. A boolean array. A callable function with one argument (the calling Series, DataFrame or Panel) and that returns valid output for indexing (one of the above) .iloc will raise I

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

Panel.groupby(function, axis='major') [source] Group data on given axis, returning GroupBy object Parameters: function : callable Mapping function for chosen access axis : {?major?, ?minor?, ?items?}, default ?major? Returns: grouped : PanelGroupBy

Panel.head(n=5) [source]