Overview: IndexHierarchyGO: Method#

Detail: IndexHierarchyGO: Method

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