DataFrame.get_dtype_counts()

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

Panel4D.swaplevel()

Panel4D.swaplevel(i=-2, j=-1, axis=0) [source] Swap levels i and j in a MultiIndex on a particular axis Parameters: i, j : int, string (can be mixed) Level of index to be swapped. Can pass level name as string. Returns: swapped : type of caller (new object) Changed in version 0.18.1: The indexes i and j are now optional, and default to the two innermost levels of the index.

Panel4D.add_suffix()

Panel4D.add_suffix(suffix) [source] Concatenate suffix string with panel items names. Parameters: suffix : string Returns: with_suffix : type of caller

Panel.update()

Panel.update(other, join='left', overwrite=True, filter_func=None, raise_conflict=False) [source] Modify Panel in place using non-NA values from passed Panel, or object coercible to Panel. Aligns on items Parameters: other : Panel, or object coercible to Panel join : How to join individual DataFrames {?left?, ?right?, ?outer?, ?inner?}, default ?left? overwrite : boolean, default True If True then overwrite values for common keys in the calling panel filter_func : callable(1d-array) -&

Panel.mod()

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

Series.reorder_levels()

Series.reorder_levels(order) [source] Rearrange index levels using input order. May not drop or duplicate levels Parameters: order: list of int representing new level order. (reference level by number or key) axis: where to reorder levels Returns: type of caller (new object)

Series.radd()

Series.radd(other, level=None, fill_value=None, axis=0) [source] Addition of series and other, element-wise (binary operator radd). Equivalent to other + series, but with support to substitute a fill_value for missing data in one of the inputs. Parameters: other: Series or scalar value fill_value : None or float value, default None (NaN) Fill missing (NaN) values with this value. If both Series are missing, the result will be missing level : int or name Broadcast across a level, matchin

Panel4D.rename_axis()

Panel4D.rename_axis(mapper, axis=0, copy=True, inplace=False) [source] Alter index and / or columns using input function or functions. A scaler or list-like for mapper will alter the Index.name or MultiIndex.names attribute. A function or dict for mapper will alter the labels. Function / dict values must be unique (1-to-1). Labels not contained in a dict / Series will be left as-is. Parameters: mapper : scalar, list-like, dict-like or function, optional axis : int or string, default 0 copy

pandas.read_clipboard()

pandas.read_clipboard(**kwargs) [source] Read text from clipboard and pass to read_table. See read_table for the full argument list If unspecified, sep defaults to ?s+? Returns: parsed : DataFrame

MultiIndex.ravel()

MultiIndex.ravel(order='C') [source] return an ndarray of the flattened values of the underlying data See also numpy.ndarray.ravel