Panel.all(axis=None, bool_only=None, skipna=None, level=None, **kwargs) [source] Return whether all elements are True over requested axis Parameters: axis : {items (0), major_axis (1), minor_axis (2)} skipna : boolean, default True Exclude NA/null values. If an entire row/column is NA, the result will be NA level : int or level name, default None If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a DataFrame bool_only : boolean, default None In

Panel.align(other, **kwargs) [source]

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

Panel.add_prefix(prefix) [source] Concatenate prefix string with panel items names. Parameters: prefix : string Returns: with_prefix : type of caller

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

Panel.abs() [source] Return an object with absolute value taken?only applicable to objects that are all numeric. Returns: abs: type of caller

class pandas.Panel(data=None, items=None, major_axis=None, minor_axis=None, copy=False, dtype=None) [source] Represents wide format panel data, stored as 3-dimensional array Parameters: data : ndarray (items x major x minor), or dict of DataFrames items : Index or array-like axis=0 major_axis : Index or array-like axis=1 minor_axis : Index or array-like axis=2 dtype : dtype, default None Data type to force, otherwise infer copy : boolean, default False Copy data from inputs. Only

pandas.to_timedelta(*args, **kwargs) [source] Convert argument to timedelta Parameters: arg : string, timedelta, list, tuple, 1-d array, or Series unit : unit of the arg (D,h,m,s,ms,us,ns) denote the unit, which is an integer/float number box : boolean, default True If True returns a Timedelta/TimedeltaIndex of the results if False returns a np.timedelta64 or ndarray of values of dtype timedelta64[ns] errors : {?ignore?, ?raise?, ?coerce?}, default ?raise? If ?raise?, then invalid pars

pandas.to_numeric(arg, errors='raise', downcast=None) [source] Convert argument to a numeric type. Parameters: arg : list, tuple, 1-d array, or Series errors : {?ignore?, ?raise?, ?coerce?}, default ?raise? If ?raise?, then invalid parsing will raise an exception If ?coerce?, then invalid parsing will be set as NaN If ?ignore?, then invalid parsing will return the input downcast : {?integer?, ?signed?, ?unsigned?, ?float?} , default None If not None, and if the data has been successfully

pandas.to_datetime(*args, **kwargs) [source] Convert argument to datetime. Parameters: arg : string, datetime, list, tuple, 1-d array, Series errors : {?ignore?, ?raise?, ?coerce?}, default ?raise? If ?raise?, then invalid parsing will raise an exception If ?coerce?, then invalid parsing will be set as NaT If ?ignore?, then invalid parsing will return the input dayfirst : boolean, default False Specify a date parse order if arg is str or its list-likes. If True, parses dates with the d