Panel4D.groupby(*args, **kwargs) [source]

Panel4D.get_ftype_counts() [source] Return the counts of ftypes in this object.

Panel4D.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

Panel4D.get_values() [source] same as values (but handles sparseness conversions)

Panel4D.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

Panel4D.get_dtype_counts() [source] Return the counts of dtypes in this object.

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

Panel4D.ftypes Return the ftypes (indication of sparse/dense and dtype) in this object.

Panel4D.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 the items

Panel4D.first(offset) [source] Convenience method for subsetting initial periods of time series data based on a date offset. Parameters: offset : string, DateOffset, dateutil.relativedelta Returns: subset : type of caller Examples ts.first(?10D?) -> First 10 days