SeriesHE¶

SeriesHE: Constructor¶

Detail	`SeriesHE.__init__(values, *, index, name, dtype, index_constructor, own_index)`	Initializer. Args: values: An iterable of values to be aligned with the supplied…
Detail	`SeriesHE.from_concat(containers, *, index, name)`	Concatenate multiple Series into a new Series. Args: containers: Iterable of Ser…
Detail	`SeriesHE.from_concat_items(items, *, name, index_constructor)`	Produce a Series with a hierarchical index from an iterable of pairs of labels,…
Detail	`SeriesHE.from_dict(mapping, *, dtype, name, index_constructor)`	Series construction from a dictionary, where the first pair value is the index a…
Detail	`SeriesHE.from_element(element, *, index, dtype, name, index_constructor, own_index)`	Create a Series from a single element. The size of the resultant container will…
Detail	`SeriesHE.from_items(pairs, *, dtype, name, index_constructor)`	Series construction from an iterator or generator of pairs, where the first pair…
Detail	`SeriesHE.from_overlay(containers, *, index, union, name)`	Return a new Series made by overlaying containers, filling in missing values (No…
Detail	`SeriesHE.from_pandas(value, *, index_constructor, name, own_data)`	Given a Pandas Series, return a Series. Args: value: Pandas Series. own_data: If…

SeriesHE: Exporter¶

Detail: SeriesHE: Exporter

Detail	`SeriesHE.to_frame(axis)`	Return a Frame view of this Series. As underlying data is immutable, this is a n…
Detail	`SeriesHE.to_frame_go(axis)`	Return FrameGO view of this Series. As underlying data is immutable, this is a n…
Detail	`SeriesHE.to_html(config, style_config)`	Return an HTML table representation of this Series using standard TABLE, TR, and…
Detail	`SeriesHE.to_html_datatables(fp, show, config)`	Return a complete HTML representation of this Series using the DataTables JS lib…
Detail	`SeriesHE.to_pairs()`	Return a tuple of tuples, where each inner tuple is a pair of index label, value…
Detail	`SeriesHE.to_pandas()`	Return a Pandas Series. Returns: pandas.Series
Detail	`SeriesHE.to_series()`	Return a Series from this SeriesHE.
Detail	`SeriesHE.to_series_he()`	Return a SeriesHE from this Series.
Detail	`SeriesHE.to_visidata()`	Open an interactive VisiData session.

SeriesHE: Attribute¶

Detail: SeriesHE: Attribute

Detail	`SeriesHE.STATIC`	bool(x) -> bool Returns True when the argument x is true, False otherwise. The b…
Detail	`SeriesHE.T`	Transpose. For a 1D immutable container, this returns a reference to self. Retur…
Detail	`SeriesHE.dtype`	Return the dtype of the underlying NumPy array. Returns: numpy.dtype
Detail	`SeriesHE.index`	The index instance assigned to this container. Returns: Index
Detail	`SeriesHE.mloc`	The memory location, represented as an integer, of the underlying NumPy array.
Detail	`SeriesHE.name`	A hashable label attached to this container. Returns: Hashable
Detail	`SeriesHE.nbytes`	Return the total bytes of the underlying NumPy array. Returns: int
Detail	`SeriesHE.ndim`	Return the number of dimensions, which for a Series is always 1. Returns: int
Detail	`SeriesHE.shape`	Return a tuple describing the shape of the underlying NumPy array. Returns: Tupl…
Detail	`SeriesHE.size`	Return the size of the underlying NumPy array. Returns: int

SeriesHE: Method¶

Detail: SeriesHE: Method

Detail	`SeriesHE.__bool__()`	Raises ValueError to prohibit ambiguous use of truethy evaluation.
Detail	`SeriesHE.__deepcopy__(memo)`
Detail	`SeriesHE.__len__()`	Length of values.
Detail	`SeriesHE.__round__(decimals)`	Return a Series rounded to the given decimals. Negative decimals round to the le…
Detail	`SeriesHE.all(axis, skipna, out)`	Logical and over values along the specified axis. Args: axis: Axis, defaulting t…
Detail	`SeriesHE.any(axis, skipna, out)`	Logical or over values along the specified axis. Args: axis: Axis, defaulting to…
Detail	`SeriesHE.astype(dtype)`	Return a Series with type determined by dtype argument. Note that for Series, th…
Detail	`SeriesHE.clip(*, lower, upper)`	Apply a clip operation to this Series. Note that clip operations can be applied…
Detail	`SeriesHE.count(*, skipna, skipfalsy, unique)`	Return the count of non-NA, non-falsy, and/or unique elements. Args: skipna: ski…
Detail	`SeriesHE.cov(other, *, ddof)`	Return the index-aligned covariance to the supplied Series. Args: ddof: Delta de…
Detail	`SeriesHE.cumprod(axis, skipna)`	Return the cumulative product over the specified axis. Args: axis: Axis, default…
Detail	`SeriesHE.cumsum(axis, skipna)`	Return the cumulative sum over the specified axis. Args: axis: Axis, defaulting…
Detail	`SeriesHE.drop_duplicated(*, exclude_first, exclude_last)`	Return a Series with duplicated values removed. Args: exclude_first: Boolean to…
Detail	`SeriesHE.dropfalsy()`	Return a new Series after removing values of falsy.
Detail	`SeriesHE.dropna()`	Return a new Series after removing values of NaN or None.
Detail	`SeriesHE.duplicated(*, exclude_first, exclude_last)`	Return a same-sized Boolean Series that shows True for all values that are dupli…
Detail	`SeriesHE.equals(other, *, compare_name, compare_dtype, compare_class, skipna)`	Return a bool from comparison to any other object. Args: compare_name: Include e…
Detail	`SeriesHE.fillfalsy(value)`	Return a new Series after replacing falsy values with the supplied value. The va…
Detail	`SeriesHE.fillna(value)`	Return a new Series after replacing NA (NaN or None) with the supplied value. Th…
Detail	`SeriesHE.fillna_backward(limit)`	Return a new Series after feeding backward the last non-null (NaN or None) obser…
Detail	`SeriesHE.fillna_forward(limit)`	Return a new Series after feeding forward the last non-null (NaN or None) observ…
Detail	`SeriesHE.fillna_leading(value)`	Return a new Series after filling leading (and only leading) null (NaN or None)…
Detail	`SeriesHE.fillna_trailing(value)`	Return a new Series after filling trailing (and only trailing) null (NaN or None…
Detail	`SeriesHE.head(count)`	Return a Series consisting only of the top elements as specified by count. Args:…
Detail	`SeriesHE.iloc_max(*, skipna)`	Return the integer index corresponding to the maximum value. Args: skipna: if Tr…
Detail	`SeriesHE.iloc_min(*, skipna)`	Return the integer index corresponding to the minimum value found. Args: skipna:…
Detail	`SeriesHE.iloc_searchsorted(values, *, side_left)`	Given a sorted Series, return the iloc (integer) position(s) at which insertion…
Detail	`SeriesHE.insert_after(key, container)`	Create a new Series by inserting a Series at the position after the label specif…
Detail	`SeriesHE.insert_before(key, container)`	Create a new Series by inserting a Series at the position before the label speci…
Detail	`SeriesHE.isfalsy()`	Return a same-indexed, Boolean Series indicating which values are falsy.
Detail	`SeriesHE.isin(other)`	Return a same-sized Boolean Series that shows if the same-positioned element is…
Detail	`SeriesHE.isna()`	Return a same-indexed, Boolean Series indicating which values are NaN or None.
Detail	`SeriesHE.loc_max(*, skipna)`	Return the label corresponding to the maximum value found. Args: skipna: if True…
Detail	`SeriesHE.loc_min(*, skipna)`	Return the label corresponding to the minimum value found. Args: skipna: if True…
Detail	`SeriesHE.loc_searchsorted(values, *, side_left, fill_value)`	Given a sorted Series, return the loc (label) position(s) at which insertion in…
Detail	`SeriesHE.max(axis, skipna)`	Return the maximum along the specified axis. Args: axis: Axis, defaulting to axi…
Detail	`SeriesHE.mean(axis, skipna, out)`	Return the mean along the specified axis. Args: axis: Axis, defaulting to axis 0…
Detail	`SeriesHE.median(axis, skipna, out)`	Return the median along the specified axis. Args: axis: Axis, defaulting to axis…
Detail	`SeriesHE.min(axis, skipna, out)`	Return the minimum along the specified axis. Args: axis: Axis, defaulting to axi…
Detail	`SeriesHE.notfalsy()`	Return a same-indexed, Boolean Series indicating which values are falsy.
Detail	`SeriesHE.notna()`	Return a same-indexed, Boolean Series indicating which values are NaN or None.
Detail	`SeriesHE.prod(axis, skipna, out)`	Return the product along the specified axis. Args: axis: Axis, defaulting to axi…
Detail	`SeriesHE.rank_dense(*, skipna, ascending, start, fill_value)`	Rank values as compactly as possible, where ties get the same value, and ranks a…
Detail	`SeriesHE.rank_max(*, skipna, ascending, start, fill_value)`	Rank values where tied values are assigned the maximum ordinal rank; ranks are p…
Detail	`SeriesHE.rank_mean(*, skipna, ascending, start, fill_value)`	Rank values where tied values are assigned the mean of the ordinal ranks; ranks…
Detail	`SeriesHE.rank_min(*, skipna, ascending, start, fill_value)`	Rank values where tied values are assigned the minimum ordinal rank; ranks are p…
Detail	`SeriesHE.rank_ordinal(*, skipna, ascending, start, fill_value)`	Rank values distinctly, where ties get distinct values that maintain their order…
Detail	`SeriesHE.rehierarch(depth_map)`	Return a new Series with new a hierarchy based on the supplied depth_map.
Detail	`SeriesHE.reindex(index, *, fill_value, own_index, check_equals)`	Return a new Series with labels defined by the provided index. The size and orde…
Detail	`SeriesHE.relabel(index)`	Return a new Series with transformed labels on the index. The size and ordering…
Detail	`SeriesHE.relabel_flat()`	Return a new Series, where an IndexHierarchy (if defined) is replaced with a fla…
Detail	`SeriesHE.relabel_level_add(level)`	Return a new Series, adding a new root level to an existing IndexHierarchy, or c…
Detail	`SeriesHE.relabel_level_drop(count)`	Return a new Series, dropping one or more levels from a either the root or the l…
Detail	`SeriesHE.rename(name, *, index)`	Return a new Series with an updated name attribute.
Detail	`SeriesHE.roll(shift, *, include_index)`	Return a Series with values rotated forward and wrapped around the index (with a…
Detail	`SeriesHE.sample(count, *, seed)`	Randomly (optionally made deterministic with a fixed seed) extract items from th…
Detail	`SeriesHE.shift(shift, *, fill_value)`	Return a Series with values shifted forward on the index (with a positive shift)…
Detail	`SeriesHE.sort_index(*, ascending, kind, key)`	Return a new Series ordered by the sorted Index. Args: * ascending: Boolean, or…
Detail	`SeriesHE.sort_values(*, ascending, kind, key)`	Return a new Series ordered by the sorted values. Args: * ascending: If True, so…
Detail	`SeriesHE.std(axis, skipna, ddof, out)`	Return the standard deviaton along the specified axis. Args: axis: Axis, default…
Detail	`SeriesHE.sum(axis, skipna, out)`	Sum values along the specified axis. Args: axis: Axis, defaulting to axis 0. ski…
Detail	`SeriesHE.tail(count)`	Return a Series consisting only of the bottom elements as specified by count. s…
Detail	`SeriesHE.transpose()`	Transpose. For a 1D immutable container, this returns a reference to self. Retur…
Detail	`SeriesHE.unique()`	Return a NumPy array of unique values. Returns: numpy.ndarray
Detail	`SeriesHE.var(axis, skipna, ddof, out)`	Return the variance along the specified axis. Args: axis: Axis, defaulting to ax…

SeriesHE: Dictionary-Like¶

Detail: SeriesHE: Dictionary-Like

Detail	`SeriesHE.__contains__(value)`	Inclusion of value in index labels. Returns: bool
Detail	`SeriesHE.__iter__()`	Iterator of index labels, same as Series.keys. Returns: Iterator[Hashasble]
Detail	`SeriesHE.__reversed__()`	Returns a reverse iterator on the series’ index. Returns: Index
Detail	`SeriesHE.get(key, default)`	Return the value found at the index key, else the default if the key is not foun…
Detail	`SeriesHE.items()`	Iterator of pairs of index label and value. Returns: Iterator[Tuple[Hashable, An…
Detail	`SeriesHE.keys()`	Iterator of index labels. Returns: Iterator[Hashable]
Detail	`SeriesHE.values`

SeriesHE: Display¶

Detail: SeriesHE: Display

Detail	`SeriesHE.interface`	A Frame documenting the interface of this class.
Detail	`SeriesHE.__repr__()`
Detail	`SeriesHE.__str__()`	Return str(self).
Detail	`SeriesHE.display(config, *, style_config)`	Return a Display, capable of providing a string representation. Args: config: A…
Detail	`SeriesHE.display_tall(config)`	Maximize vertical presentation. Return a Display, capable of providing a string…
Detail	`SeriesHE.display_wide(config)`	Maximize horizontal presentation. Return a Display, capable of providing a strin…

SeriesHE: Assignment¶

Detail: SeriesHE: Assignment

Detail	`SeriesHE.assign[key](value, *, fill_value)`	Assign the value in the position specified by the selector. The name attribute i…
Detail	`SeriesHE.assign[key].apply(func, *, fill_value)`	Provide a function to apply to the assignment target, and use that as the assign…
Detail	`SeriesHE.assign.iloc[key](value, *, fill_value)`	Assign the value in the position specified by the selector. The name attribute i…
Detail	`SeriesHE.assign.iloc[key].apply(func, *, fill_value)`	Provide a function to apply to the assignment target, and use that as the assign…
Detail	`SeriesHE.assign.loc[key](value, *, fill_value)`	Assign the value in the position specified by the selector. The name attribute i…
Detail	`SeriesHE.assign.loc[key].apply(func, *, fill_value)`	Provide a function to apply to the assignment target, and use that as the assign…

SeriesHE: Selector¶

Detail: SeriesHE: Selector

Detail	`SeriesHE.drop[key]`	Label-based selection.
Detail	`SeriesHE.drop.iloc[key]`
Detail	`SeriesHE.drop.loc[key]`
Detail	`SeriesHE.mask[key]`	Label-based selection.
Detail	`SeriesHE.mask.iloc[key]`
Detail	`SeriesHE.mask.loc[key]`
Detail	`SeriesHE.masked_array[key]`	Label-based selection.
Detail	`SeriesHE.masked_array.iloc[key]`
Detail	`SeriesHE.masked_array.loc[key]`
Detail	`SeriesHE[key]`	Selector of values by label. Args: key: A loc selector, either a label, a list o…
Detail	`SeriesHE.iloc[key]`	Interface for position-based selection.
Detail	`SeriesHE.loc[key]`	Interface for label-based selection.

SeriesHE: Iterator¶

Detail: SeriesHE: Iterator

Detail	`SeriesHE.iter_element()`	Iterator of elements.
Detail	`SeriesHE.iter_element().apply(func, *, dtype, name)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`SeriesHE.iter_element().apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`SeriesHE.iter_element().apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`SeriesHE.iter_element().apply_pool(func, *, dtype, name, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`SeriesHE.iter_element().map_all(mapping, *, dtype, name)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`SeriesHE.iter_element().map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_element().map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_element().map_any(mapping, *, dtype, name)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`SeriesHE.iter_element().map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_element().map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_element().map_fill(mapping, *, fill_value, dtype, name)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`SeriesHE.iter_element().map_fill_iter(mapping, *, fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_element().map_fill_iter_items(mapping, *, fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_element_items()`	Iterator of label, element pairs.
Detail	`SeriesHE.iter_element_items().apply(func, *, dtype, name)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`SeriesHE.iter_element_items().apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`SeriesHE.iter_element_items().apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`SeriesHE.iter_element_items().apply_pool(func, *, dtype, name, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`SeriesHE.iter_element_items().map_all(mapping, *, dtype, name)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`SeriesHE.iter_element_items().map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_element_items().map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_element_items().map_any(mapping, *, dtype, name)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`SeriesHE.iter_element_items().map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_element_items().map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_element_items().map_fill(mapping, *, fill_value, dtype, name)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`SeriesHE.iter_element_items().map_fill_iter(mapping, *, fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_element_items().map_fill_iter_items(mapping, *, fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_group(*, axis)`	Iterator of Series, where each Series matches unique values.
Detail	`SeriesHE.iter_group(, axis).apply(func, , dtype, name)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`SeriesHE.iter_group(*, axis).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`SeriesHE.iter_group(*, axis).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`SeriesHE.iter_group(, axis).apply_pool(func, , dtype, name, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`SeriesHE.iter_group(, axis).map_all(mapping, , dtype, name)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`SeriesHE.iter_group(*, axis).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_group(*, axis).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_group(, axis).map_any(mapping, , dtype, name)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`SeriesHE.iter_group(*, axis).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_group(*, axis).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_group(, axis).map_fill(mapping, , fill_value, dtype, name)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`SeriesHE.iter_group(, axis).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_group(, axis).map_fill_iter_items(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_group_items(*, axis)`
Detail	`SeriesHE.iter_group_items(, axis).apply(func, , dtype, name)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`SeriesHE.iter_group_items(*, axis).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`SeriesHE.iter_group_items(*, axis).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`SeriesHE.iter_group_items(, axis).apply_pool(func, , dtype, name, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`SeriesHE.iter_group_items(, axis).map_all(mapping, , dtype, name)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`SeriesHE.iter_group_items(*, axis).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_group_items(*, axis).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_group_items(, axis).map_any(mapping, , dtype, name)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`SeriesHE.iter_group_items(*, axis).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_group_items(*, axis).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_group_items(, axis).map_fill(mapping, , fill_value, dtype, name)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`SeriesHE.iter_group_items(, axis).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_group_items(, axis).map_fill_iter_items(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_group_labels(depth_level)`
Detail	`SeriesHE.iter_group_labels(depth_level).apply(func, *, dtype, name)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`SeriesHE.iter_group_labels(depth_level).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`SeriesHE.iter_group_labels(depth_level).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`SeriesHE.iter_group_labels(depth_level).apply_pool(func, *, dtype, name, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`SeriesHE.iter_group_labels(depth_level).map_all(mapping, *, dtype, name)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`SeriesHE.iter_group_labels(depth_level).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_group_labels(depth_level).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_group_labels(depth_level).map_any(mapping, *, dtype, name)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`SeriesHE.iter_group_labels(depth_level).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_group_labels(depth_level).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_group_labels(depth_level).map_fill(mapping, *, fill_value, dtype, name)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`SeriesHE.iter_group_labels(depth_level).map_fill_iter(mapping, *, fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_group_labels(depth_level).map_fill_iter_items(mapping, *, fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_group_labels_items(depth_level)`
Detail	`SeriesHE.iter_group_labels_items(depth_level).apply(func, *, dtype, name)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`SeriesHE.iter_group_labels_items(depth_level).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`SeriesHE.iter_group_labels_items(depth_level).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`SeriesHE.iter_group_labels_items(depth_level).apply_pool(func, *, dtype, name, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`SeriesHE.iter_group_labels_items(depth_level).map_all(mapping, *, dtype, name)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`SeriesHE.iter_group_labels_items(depth_level).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_group_labels_items(depth_level).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_group_labels_items(depth_level).map_any(mapping, *, dtype, name)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`SeriesHE.iter_group_labels_items(depth_level).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_group_labels_items(depth_level).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_group_labels_items(depth_level).map_fill(mapping, *, fill_value, dtype, name)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`SeriesHE.iter_group_labels_items(depth_level).map_fill_iter(mapping, *, fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_group_labels_items(depth_level).map_fill_iter_items(mapping, *, fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_window(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment)`
Detail	`SeriesHE.iter_window(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply(func, , dtype, name)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`SeriesHE.iter_window(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`SeriesHE.iter_window(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`SeriesHE.iter_window(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_pool(func, , dtype, name, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`SeriesHE.iter_window(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all(mapping, , dtype, name)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`SeriesHE.iter_window(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_window(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_window(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any(mapping, , dtype, name)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`SeriesHE.iter_window(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_window(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_window(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill(mapping, , fill_value, dtype, name)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`SeriesHE.iter_window(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_window(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill_iter_items(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_window_array(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment)`
Detail	`SeriesHE.iter_window_array(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply(func, , dtype, name)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`SeriesHE.iter_window_array(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`SeriesHE.iter_window_array(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`SeriesHE.iter_window_array(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_pool(func, , dtype, name, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`SeriesHE.iter_window_array(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all(mapping, , dtype, name)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`SeriesHE.iter_window_array(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_window_array(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_window_array(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any(mapping, , dtype, name)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`SeriesHE.iter_window_array(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_window_array(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_window_array(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill(mapping, , fill_value, dtype, name)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`SeriesHE.iter_window_array(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_window_array(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill_iter_items(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_window_array_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment)`
Detail	`SeriesHE.iter_window_array_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply(func, , dtype, name)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`SeriesHE.iter_window_array_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`SeriesHE.iter_window_array_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`SeriesHE.iter_window_array_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_pool(func, , dtype, name, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`SeriesHE.iter_window_array_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all(mapping, , dtype, name)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`SeriesHE.iter_window_array_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_window_array_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_window_array_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any(mapping, , dtype, name)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`SeriesHE.iter_window_array_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_window_array_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_window_array_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill(mapping, , fill_value, dtype, name)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`SeriesHE.iter_window_array_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_window_array_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill_iter_items(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_window_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment)`
Detail	`SeriesHE.iter_window_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply(func, , dtype, name)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`SeriesHE.iter_window_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`SeriesHE.iter_window_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`SeriesHE.iter_window_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_pool(func, , dtype, name, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`SeriesHE.iter_window_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all(mapping, , dtype, name)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`SeriesHE.iter_window_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_window_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`SeriesHE.iter_window_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any(mapping, , dtype, name)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`SeriesHE.iter_window_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_window_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`SeriesHE.iter_window_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill(mapping, , fill_value, dtype, name)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`SeriesHE.iter_window_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`SeriesHE.iter_window_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill_iter_items(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…

SeriesHE: Operator Binary¶

Detail: SeriesHE: Operator Binary

Detail	`SeriesHE.__add__(other)`
Detail	`SeriesHE.__and__(other)`
Detail	`SeriesHE.__eq__(other)`	Return True if other is a Series with the same labels, values, and name. Contain…
Detail	`SeriesHE.__floordiv__(other)`
Detail	`SeriesHE.__ge__(other)`
Detail	`SeriesHE.__gt__(other)`
Detail	`SeriesHE.__le__(other)`
Detail	`SeriesHE.__lt__(other)`
Detail	`SeriesHE.__matmul__(other)`
Detail	`SeriesHE.__mod__(other)`
Detail	`SeriesHE.__mul__(other)`
Detail	`SeriesHE.__ne__(other)`	Return False if other is a Series with the same labels, values, and name. Contai…
Detail	`SeriesHE.__or__(other)`
Detail	`SeriesHE.__pow__(other)`
Detail	`SeriesHE.__radd__(other)`
Detail	`SeriesHE.__rfloordiv__(other)`
Detail	`SeriesHE.__rmatmul__(other)`
Detail	`SeriesHE.__rmul__(other)`
Detail	`SeriesHE.__rshift__(other)`
Detail	`SeriesHE.__rsub__(other)`
Detail	`SeriesHE.__rtruediv__(other)`
Detail	`SeriesHE.__sub__(other)`
Detail	`SeriesHE.__truediv__(other)`
Detail	`SeriesHE.__xor__(other)`

SeriesHE: Operator Unary¶

Detail: SeriesHE: Operator Unary

Detail	`SeriesHE.__abs__()`
Detail	`SeriesHE.__invert__()`
Detail	`SeriesHE.__neg__()`
Detail	`SeriesHE.__pos__()`

SeriesHE: Accessor Datetime¶

Detail: SeriesHE: Accessor Datetime

Detail	`SeriesHE.via_dt.year`	Return the year of each element.
Detail	`SeriesHE.via_dt.month`	Return the month of each element, between 1 and 12 inclusive.
Detail	`SeriesHE.via_dt.day`	Return the day of each element, between 1 and the number of days in the given mo…
Detail	`SeriesHE.via_dt.weekday()`	Return the day of the week as an integer, where Monday is 0 and Sunday is 6.
Detail	`SeriesHE.via_dt.timetuple()`	Return a time.struct_time such as returned by time.localtime().
Detail	`SeriesHE.via_dt.fromisoformat()`	Return a datetime.date object from an ISO 8601 format.
Detail	`SeriesHE.via_dt.isoformat(sep, timespec)`	Return a string representing the date in ISO 8601 format, YYYY-MM-DD.
Detail	`SeriesHE.via_dt.strftime(format)`	Return a string representing the date, controlled by an explicit format string.
Detail	`SeriesHE.via_dt.strptime(format)`	Return a Python datetime object from parsing a string defined with format.
Detail	`SeriesHE.via_dt.strpdate(format)`	Return a Python date object from parsing a string defined with format.

SeriesHE: Accessor String¶

Detail: SeriesHE: Accessor String

Detail	`SeriesHE.via_str.capitalize()`	Return a container with only the first character of each element capitalized.
Detail	`SeriesHE.via_str.center(width, fillchar)`	Return a container with its elements centered in a string of length width.
Detail	`SeriesHE.via_str.count(sub, start, end)`	Returns a container with the number of non-overlapping occurrences of substring…
Detail	`SeriesHE.via_str.decode(encoding, errors)`	Apply str.decode() to each element. Elements must be bytes.
Detail	`SeriesHE.via_str.encode(encoding, errors)`	Apply str.encode() to each element. Elements must be strings.
Detail	`SeriesHE.via_str.endswith(suffix, start, end)`	Returns a container with the number of non-overlapping occurrences of substring…
Detail	`SeriesHE.via_str.find(sub, start, end)`	For each element, return the lowest index in the string where substring sub is f…
Detail	`SeriesHE.via_str.index(sub, start, end)`	Like find, but raises ValueError when the substring is not found.
Detail	`SeriesHE.via_str.isalnum()`	Returns true for each element if all characters in the string are alphanumeric a…
Detail	`SeriesHE.via_str.isalpha()`	Returns true for each element if all characters in the string are alphabetic and…
Detail	`SeriesHE.via_str.isdecimal()`	For each element, return True if there are only decimal characters in the elemen…
Detail	`SeriesHE.via_str.isdigit()`	Returns true for each element if all characters in the string are digits and the…
Detail	`SeriesHE.via_str.islower()`	Returns true for each element if all cased characters in the string are lowercas…
Detail	`SeriesHE.via_str.isnumeric()`	For each element in self, return True if there are only numeric characters in th…
Detail	`SeriesHE.via_str.isspace()`	Returns true for each element if there are only whitespace characters in the str…
Detail	`SeriesHE.via_str.istitle()`	Returns true for each element if the element is a titlecased string and there is…
Detail	`SeriesHE.via_str.isupper()`	Returns true for each element if all cased characters in the string are uppercas…
Detail	`SeriesHE.via_str.ljust(width, fillchar)`	Return a container with its elements ljusted in a string of length width.
Detail	`SeriesHE.via_str.len()`	Return the length of the string.
Detail	`SeriesHE.via_str.lower()`	Return an array with the elements of self converted to lowercase.
Detail	`SeriesHE.via_str.lstrip(chars)`	For each element, return a copy with the leading characters removed.
Detail	`SeriesHE.via_str.partition(sep)`	Partition each element around sep.
Detail	`SeriesHE.via_str.replace(old, new, count)`	Return a container with its elements replaced in a string of length width.
Detail	`SeriesHE.via_str.rfind(sub, start, end)`	For each element, return the highest index in the string where substring sub is…
Detail	`SeriesHE.via_str.rindex(sub, start, end)`	Like rfind, but raises ValueError when the substring sub is not found.
Detail	`SeriesHE.via_str.rjust(width, fillchar)`	Return a container with its elements rjusted in a string of length width.
Detail	`SeriesHE.via_str.rpartition(sep)`	Partition (split) each element around the right-most separator.
Detail	`SeriesHE.via_str.rsplit(sep, maxsplit)`	For each element, return a tuple of the words in the string, using sep as the de…
Detail	`SeriesHE.via_str.rstrip(chars)`	For each element, return a copy with the trailing characters removed.
Detail	`SeriesHE.via_str.split(sep, maxsplit)`	For each element, return a tuple of the words in the string, using sep as the de…
Detail	`SeriesHE.via_str.startswith(prefix, start, end)`	Returns a container with the number of non-overlapping occurrences of substring…
Detail	`SeriesHE.via_str.strip(chars)`	For each element, return a copy with the leading and trailing characters removed…
Detail	`SeriesHE.via_str.swapcase()`	Return a container with uppercase characters converted to lowercase and vice ver…
Detail	`SeriesHE.via_str.title()`	Return a container with uppercase characters converted to lowercase and vice ver…
Detail	`SeriesHE.via_str.upper()`	Return a container with uppercase characters converted to lowercase and vice ver…
Detail	`SeriesHE.via_str.zfill(width)`	Return the string left-filled with zeros.

SeriesHE: Accessor Fill Value¶

Detail: SeriesHE: Accessor Fill Value

Detail	`SeriesHE.via_fill_value(fill_value).via_T`	Interface for using binary operators with one-dimensional sequences, where the o…
Detail	`SeriesHE.via_fill_value(fill_value).__add__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__sub__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__mul__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__truediv__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__floordiv__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__mod__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__pow__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__lshift__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__rshift__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__and__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__xor__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__or__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__lt__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__le__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__eq__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__ne__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__gt__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__ge__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__radd__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__rsub__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__rmul__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__rtruediv__(other)`
Detail	`SeriesHE.via_fill_value(fill_value).__rfloordiv__(other)`

SeriesHE: Accessor Regular Expression¶

Detail: SeriesHE: Accessor Regular Expression

Detail	`SeriesHE.via_re(pattern, flags).search(pos, endpos)`	Scan through string looking for the first location where this regular expression…
Detail	`SeriesHE.via_re(pattern, flags).match(pos, endpos)`	If zero or more characters at the beginning of string match this regular express…
Detail	`SeriesHE.via_re(pattern, flags).fullmatch(pos, endpos)`	If the whole string matches this regular expression, return True, else False. No…
Detail	`SeriesHE.via_re(pattern, flags).split(maxsplit)`	Split string by the occurrences of pattern. If capturing parentheses are used in…
Detail	`SeriesHE.via_re(pattern, flags).findall(pos, endpos)`	Return all non-overlapping matches of pattern in string, as a tuple of strings….
Detail	`SeriesHE.via_re(pattern, flags).sub(repl, count)`	Return the string obtained by replacing the leftmost non-overlapping occurrences…
Detail	`SeriesHE.via_re(pattern, flags).subn(repl, count)`	Perform the same operation as sub(), but return a tuple (new_string, number_of_s…