Overview: IndexHierarchy: Method

Detail: IndexHierarchy: Method

Detail	`IndexHierarchy.__array__(dtype)`	Support the __array__ interface, returning an array of values.
Detail	`IndexHierarchy.__array_ufunc__(ufunc, method, args, *kwargs)`	Support for NumPy elements or arrays on the left hand of binary operators.
Detail	`IndexHierarchy.__bool__()`	Raises ValueError to prohibit ambiguous use of truthy evaluation.
Detail	`IndexHierarchy.__copy__()`	Return a shallow copy of this IndexHierarchy.
Detail	`IndexHierarchy.__deepcopy__(memo)`	Return a deep copy of this IndexHierarchy.
Detail	`IndexHierarchy.__len__()`
Detail	`IndexHierarchy.all(axis, skipna, out)`	Logical and over values along the specified axis. Args: axis: Axis, defaulting t…
Detail	`IndexHierarchy.any(axis, skipna, out)`	Logical or over values along the specified axis. Args: axis: Axis, defaulting to…
Detail	`IndexHierarchy.astype[key](dtypes, *, consolidate_blocks)`	Selector of columns by label. Args: key: A loc selector, either a label, a list…
Detail	`IndexHierarchy.astype(dtype, *, consolidate_blocks)`	Apply a single dtype to all columns.
Detail	`IndexHierarchy.copy()`	Return a shallow copy of this IndexHierarchy.
Detail	`IndexHierarchy.cumprod(axis, skipna)`	Return the cumulative product over the specified axis. Args: axis: Axis, default…
Detail	`IndexHierarchy.cumsum(axis, skipna)`	Return the cumulative sum over the specified axis. Args: axis: Axis, defaulting…
Detail	`IndexHierarchy.difference(*others)`
Detail	`IndexHierarchy.dropfalsy(*, condition)`	Return a new obj:IndexHierarchy after removing labels where any or all values ar…
Detail	`IndexHierarchy.dropna(*, condition)`	Return a new obj:IndexHierarchy after removing labels where any or all values ar…
Detail	`IndexHierarchy.equals(other, *, compare_name, compare_dtype, compare_class, skipna)`	Return a bool from comparison to any other object. Args: compare_name: Include e…
Detail	`IndexHierarchy.fillfalsy(value)`	Return an IndexHierarchy after replacing falsy values with the supplied value. A…
Detail	`IndexHierarchy.fillna(value)`	Return an IndexHierarchy after replacing NA (NaN or None) with the supplied valu…
Detail	`IndexHierarchy.flat()`	Return a flat, one-dimensional index of tuples for each level.
Detail	`IndexHierarchy.head(count)`	Return a Index consisting only of the top elements as specified by count. Args:…
Detail	`IndexHierarchy.iloc_searchsorted(values, *, side_left)`	Given a sorted Series, return the iloc (integer) position(s) at which insertion…
Detail	`IndexHierarchy.index_at_depth(depth_level)`	Return an index, or a tuple of indices for the depth_level specified. Args: dept…
Detail	`IndexHierarchy.indexer_at_depth(depth_level)`	Return the indexers for the depth_level specified. Array will 2D if multiple dep…
Detail	`IndexHierarchy.intersection(*others)`
Detail	`IndexHierarchy.isfalsy()`	Return a same-shaped, Boolean ndarray indicating which values are falsy.
Detail	`IndexHierarchy.isin(other)`	Return a Boolean array showing True where one or more of the passed in iterable…
Detail	`IndexHierarchy.isna()`	Return a same-shaped, Boolean ndarray indicating which values are NaN or None.
Detail	`IndexHierarchy.label_widths_at_depth(depth_level)`	A generator of pairs, where each pair is the label and the contiguous count of t…
Detail	`IndexHierarchy.level_add(level, *, index_constructor)`	Return an IndexHierarchy with a new root (outer) level added.
Detail	`IndexHierarchy.level_drop(count)`	Return an IndexHierarchy with one or more leaf levels removed. Args: count: A po…
Detail	`IndexHierarchy.loc_searchsorted(values, *, side_left, fill_value)`	Given a sorted Series, return the loc (label) position(s) at which insertion in…
Detail	`IndexHierarchy.loc_to_iloc(key)`	Given a label (loc) style key (either a label, a list of labels, a slice, an HLo…
Detail	`IndexHierarchy.max(axis, skipna)`	Return the maximum along the specified axis. Args: axis: Axis, defaulting to axi…
Detail	`IndexHierarchy.mean(axis, skipna, out)`	Return the mean along the specified axis. Args: axis: Axis, defaulting to axis 0…
Detail	`IndexHierarchy.median(axis, skipna, out)`	Return the median along the specified axis. Args: axis: Axis, defaulting to axis…
Detail	`IndexHierarchy.min(axis, skipna, out)`	Return the minimum along the specified axis. Args: axis: Axis, defaulting to axi…
Detail	`IndexHierarchy.notfalsy()`	Return a same-shaped, Boolean ndarray indicating which values are falsy.
Detail	`IndexHierarchy.notna()`	Return a same-shaped, Boolean ndarray indicating which values are NaN or None.
Detail	`IndexHierarchy.prod(axis, skipna, allna, out)`	Return the product along the specified axis. Args: axis: Axis, defaulting to axi…
Detail	`IndexHierarchy.rehierarch(depth_map, *, index_constructors)`	Return a new IndexHierarchy that conforms to the new depth assignments given be…
Detail	`IndexHierarchy.relabel(mapper)`	Return a new IndexHierarchy with labels replaced by the callable or mapping; ord…
Detail	`IndexHierarchy.relabel_at_depth(mapper, depth_level)`	Return a new IndexHierarchy after applying mapper to a level or each individual…
Detail	`IndexHierarchy.rename(name)`	Return a new IndexHierarchy with an updated name attribute.
Detail	`IndexHierarchy.roll(shift)`	Return an IndexHierarchy with values rotated forward and wrapped around (with a…
Detail	`IndexHierarchy.sample(count, *, seed)`	Randomly (optionally made deterministic with a fixed seed) extract items from th…
Detail	`IndexHierarchy.sort(*, ascending, kind, key)`	Return a new Index with the labels sorted. Args: ascendings: Boolean, or iterabl…
Detail	`IndexHierarchy.std(axis, skipna, ddof, out)`	Return the standard deviaton along the specified axis. Args: axis: Axis, default…
Detail	`IndexHierarchy.sum(axis, skipna, allna, out)`	Sum values along the specified axis. Args: axis: Axis, defaulting to axis 0. ski…
Detail	`IndexHierarchy.tail(count)`	Return a Index consisting only of the bottom elements as specified by count. Arg…
Detail	`IndexHierarchy.union(*others)`
Detail	`IndexHierarchy.unique(depth_level, order_by_occurrence)`	Return a NumPy array of unique values. Args: depth_level: Specify a single depth…
Detail	`IndexHierarchy.values_at_depth(depth_level)`	Return an NP array for the depth_level specified. Args: depth_level: a single de…
Detail	`IndexHierarchy.var(axis, skipna, ddof, out)`	Return the variance along the specified axis. Args: axis: Axis, defaulting to ax…