Panel.iterkv(*args, **kwargs) [source] iteritems alias used to get around 2to3. Deprecated

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.is_copy = None

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

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

Panel.head(n=5) [source]

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