Panel.get_value(*args, **kwargs) [source] Quickly retrieve single value at (item, major, minor) location Parameters: item : item label (panel item) major : major axis label (panel item row) minor : minor axis label (panel item column) takeable : interpret the passed labels as indexers, default False Returns: value : scalar value

Panel.get_values() [source] same as values (but handles sparseness conversions)

Panel.get_ftype_counts() [source] Return the counts of ftypes in this object.

Panel.get(key, default=None) [source] Get item from object for given key (DataFrame column, Panel slice, etc.). Returns default value if not found. Parameters: key : object Returns: value : type of items contained in object

Panel.get_dtype_counts() [source] Return the counts of dtypes in this object.

Panel.ftypes Return the ftypes (indication of sparse/dense and dtype) in this object.

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

Panel.floordiv(other, axis=0) [source] Integer division of series and other, element-wise (binary operator floordiv). Equivalent to panel // other. Parameters: other : DataFrame or Panel axis : {items, major_axis, minor_axis} Axis to broadcast over Returns: Panel See also Panel.rfloordiv

classmethod Panel.from_dict(data, intersect=False, orient='items', dtype=None) [source] Construct Panel from dict of DataFrame objects Parameters: data : dict {field : DataFrame} intersect : boolean Intersect indexes of input DataFrames orient : {?items?, ?minor?}, default ?items? The ?orientation? of the data. If the keys of the passed dict should be the items of the result panel, pass ?items? (default). Otherwise if the columns of the values of the passed DataFrame objects should be

classmethod Panel.fromDict(data, intersect=False, orient='items', dtype=None) [source] Construct Panel from dict of DataFrame objects Parameters: data : dict {field : DataFrame} intersect : boolean Intersect indexes of input DataFrames orient : {?items?, ?minor?}, default ?items? The ?orientation? of the data. If the keys of the passed dict should be the items of the result panel, pass ?items? (default). Otherwise if the columns of the values of the passed DataFrame objects should be