FrameHE¶

FrameHE: Constructor¶

Detail	`FrameHE.__init__(data, *, index, columns, name, index_constructor, columns_constructor, own_data, own_index, own_columns)`	Initializer. Args: data: Default Frame initialization requires typed data such a…
Detail	`FrameHE.from_arrow(value, *, index_depth, index_name_depth_level, index_constructors, columns_depth, columns_name_depth_level, columns_constructors, dtypes, name, consolidate_blocks)`	Realize a Frame from an Arrow Table. Args: value: A pyarrow.Table instance. inde…
Detail	`FrameHE.from_clipboard(*, delimiter, index_depth, index_column_first, index_name_depth_level, index_constructors, index_continuation_token, columns_depth, columns_name_depth_level, columns_constructors, columns_continuation_token, skip_header, skip_footer, quote_char, encoding, dtypes, name, consolidate_blocks, store_filter)`	Create a Frame from the contents of the clipboard (assuming a table is stored as…
Detail	`FrameHE.from_concat(frames, *, axis, union, index, columns, name, fill_value, consolidate_blocks)`	Concatenate multiple Frames into a new Frame. If index or columns are provided a…
Detail	`FrameHE.from_concat_items(items, *, axis, union, name, fill_value, index_constructor, columns_constructor, consolidate_blocks)`	Produce a Frame with a hierarchical index from an iterable of pairs of labels, F…
Detail	`FrameHE.from_csv(fp, *, index_depth, index_column_first, index_name_depth_level, index_constructors, index_continuation_token, columns_depth, columns_name_depth_level, columns_constructors, columns_continuation_token, skip_header, skip_footer, quote_char, encoding, dtypes, name, consolidate_blocks, store_filter)`	Specialized version of Frame.from_delimited for CSV files. Returns: Frame
Detail	`FrameHE.from_delimited(fp, *, delimiter, index_depth, index_column_first, index_name_depth_level, index_constructors, index_continuation_token, columns_depth, columns_name_depth_level, columns_constructors, columns_continuation_token, skip_header, skip_footer, quote_char, encoding, dtypes, name, consolidate_blocks, store_filter)`	Create a Frame from a file path or a file-like object defining a delimited (CSV,…
Detail	`FrameHE.from_dict(mapping, *, index, fill_value, dtypes, name, index_constructor, columns_constructor, consolidate_blocks)`	Create a Frame from a dictionary (or any object that has an items() method) wher…
Detail	`FrameHE.from_dict_records(records, *, index, dtypes, name, fill_value, consolidate_blocks, index_constructor, columns_constructor, own_index)`	Frame constructor from an iterable of dictionaries, where each dictionary repres…
Detail	`FrameHE.from_dict_records_items(items, *, dtypes, name, consolidate_blocks)`	Frame constructor from iterable of pairs of index label, row, where row is a dic…
Detail	`FrameHE.from_element(element, *, index, columns, dtype, name, index_constructor, columns_constructor, own_index, own_columns)`	Create a Frame from an element, i.e., a single value stored in a single cell. Bo…
Detail	`FrameHE.from_element_items(items, *, index, columns, dtype, axis, name, fill_value, index_constructor, columns_constructor, own_index, own_columns)`	Create a Frame from an iterable of key, value, where key is a pair of row, colum…
Detail	`FrameHE.from_elements(elements, *, index, columns, dtype, name, index_constructor, columns_constructor, own_index, own_columns)`	Create a Frame from an iterable of elements, to be formed into a Frame with a si…
Detail	`FrameHE.from_fields(fields, *, index, columns, fill_value, dtypes, name, index_constructor, columns_constructor, own_index, own_columns, consolidate_blocks)`	Frame constructor from an iterator of columns, where columns are iterables. Seri…
Detail	`FrameHE.from_hdf5(fp, *, label, index_depth, index_constructors, columns_depth, columns_constructors, consolidate_blocks)`	Load Frame from the contents of a table in an HDF5 file.
Detail	`FrameHE.from_items(pairs, *, index, fill_value, dtypes, name, index_constructor, columns_constructor, consolidate_blocks)`	Frame constructor from an iterator of pairs, where the first value is the column…
Detail	`FrameHE.from_json(json_data, *, dtypes, name, consolidate_blocks)`	Frame constructor from an in-memory JSON document. Args: json_data: a string of…
Detail	`FrameHE.from_json_url(url, *, dtypes, name, consolidate_blocks)`	Frame constructor from a JSON documenst provided via a URL. Args: url: URL to th…
Detail	`FrameHE.from_msgpack(msgpack_data)`	Frame constructor from an in-memory binary object formatted as a msgpack. Args:…
Detail	`FrameHE.from_npz(fp, *, allow_pickle, mmap_mode)`	Create a Frame from an npz file.
Detail	`FrameHE.from_overlay(containers, *, index, columns, union, name)`	Return a new Frame made by overlaying containers, filling in missing values (Non…
Detail	`FrameHE.from_pandas(value, *, index_constructor, columns_constructor, dtypes, name, consolidate_blocks, own_data)`	Given a Pandas DataFrame, return a Frame. Args: value: Pandas DataFrame. index_c…
Detail	`FrameHE.from_parquet(fp, *, index_depth, index_name_depth_level, index_constructors, columns_depth, columns_name_depth_level, columns_constructors, columns_select, dtypes, name, consolidate_blocks)`	Realize a Frame from a Parquet file. Args: fp: A string file path or Path instan…
Detail	`FrameHE.from_records(records, *, index, columns, dtypes, name, consolidate_blocks, index_constructor, columns_constructor, own_index, own_columns)`	Construct a Frame from an iterable of rows, where rows are defined as iterables,…
Detail	`FrameHE.from_records_items(items, *, columns, dtypes, name, consolidate_blocks, index_constructor, columns_constructor, own_columns)`	Frame constructor from iterable of pairs of index value, row (where row is an it…
Detail	`FrameHE.from_series(series, *, name, columns_constructor)`	Frame constructor from a Series: Args: series: A Series instance, to be realized…
Detail	`FrameHE.from_sql(query, *, connection, index_depth, index_constructors, columns_depth, columns_select, columns_constructors, dtypes, name, consolidate_blocks, parameters)`	Frame constructor from an SQL query and a database connection object. Args: quer…
Detail	`FrameHE.from_sqlite(fp, *, label, index_depth, index_constructors, columns_depth, columns_constructors, dtypes, consolidate_blocks)`	Load Frame from the contents of a table in an SQLite database file.
Detail	`FrameHE.from_structured_array(array, *, index_depth, index_column_first, index_constructors, columns_depth, columns_constructors, dtypes, name, consolidate_blocks, store_filter)`	Convert a NumPy structed array into a Frame. Args: array: Structured NumPy array…
Detail	`FrameHE.from_tsv(fp, *, index_depth, index_column_first, index_name_depth_level, index_constructors, index_continuation_token, columns_depth, columns_name_depth_level, columns_constructors, columns_continuation_token, skip_header, skip_footer, quote_char, encoding, dtypes, name, consolidate_blocks, store_filter)`	Specialized version of Frame.from_delimited for TSV files. Returns: Frame
Detail	`FrameHE.from_xlsx(fp, *, label, index_depth, index_name_depth_level, index_constructors, columns_depth, columns_name_depth_level, columns_constructors, dtypes, consolidate_blocks, skip_header, skip_footer, trim_nadir, store_filter)`	Load Frame from the contents of a sheet in an XLSX workbook. Args: label: Option…

FrameHE: Exporter¶

Detail: FrameHE: Exporter

Detail	`FrameHE.to_arrow(*, include_index, include_index_name, include_columns, include_columns_name)`	Return a pyarrow.Table from this Frame.
Detail	`FrameHE.to_clipboard(*, delimiter, include_index, include_index_name, include_columns, include_columns_name, encoding, line_terminator, quote_char, quote_double, escape_char, quoting, store_filter)`	Given a file path or file-like object, write the Frame as delimited text. The de…
Detail	`FrameHE.to_csv(fp, *, include_index, include_index_name, include_columns, include_columns_name, encoding, line_terminator, quote_char, quote_double, escape_char, quoting, store_filter)`	Given a file path or file-like object, write the Frame as delimited text. The de…
Detail	`FrameHE.to_delimited(fp, *, delimiter, include_index, include_index_name, include_columns, include_columns_name, encoding, line_terminator, quote_char, quote_double, escape_char, quoting, store_filter)`	Given a file path or file-like object, write the Frame as delimited text. A deli…
Detail	`FrameHE.to_frame()`	Return obj:Frame version of this obj:FrameHE.
Detail	`FrameHE.to_frame_go()`	Return a obj:FrameGO version of this obj:FrameHE.
Detail	`FrameHE.to_frame_he()`	Return FrameHE version of this FrameHE, which (as the FrameHE is immutable) is s…
Detail	`FrameHE.to_hdf5(fp, *, label, include_index, include_columns)`	Write the Frame as single-table SQLite file.
Detail	`FrameHE.to_html(config, style_config)`	Return an HTML table representation of this Frame using standard TABLE, TR, and…
Detail	`FrameHE.to_html_datatables(fp, show, config)`	Return a complete HTML representation of this Frame using the DataTables JS libr…
Detail	`FrameHE.to_latex(config)`	Display the Frame as a LaTeX formatted table.
Detail	`FrameHE.to_markdown(config)`	Display the Frame as a Markdown formatted table.
Detail	`FrameHE.to_msgpack()`	Return a msgpack.
Detail	`FrameHE.to_npz(fp, *, include_index, include_columns, compress)`	Write a Frame as an npz file.
Detail	`FrameHE.to_pairs(axis)`	Return a tuple of major axis key, minor axis key vlaue pairs, where major axis i…
Detail	`FrameHE.to_pandas()`	Return a Pandas DataFrame.
Detail	`FrameHE.to_parquet(fp, *, include_index, include_index_name, include_columns, include_columns_name)`	Write an Arrow Parquet binary file.
Detail	`FrameHE.to_rst(config)`	Display the Frame as an RST formatted table.
Detail	`FrameHE.to_series(*, index_constructor)`	Return a Series representation of this Frame, where the index is extended with c…
Detail	`FrameHE.to_sqlite(fp, *, label, include_index, include_columns)`	Write the Frame as single-table SQLite file.
Detail	`FrameHE.to_tsv(fp, *, include_index, include_index_name, include_columns, include_columns_name, encoding, line_terminator, quote_char, quote_double, escape_char, quoting, store_filter)`	Given a file path or file-like object, write the Frame as delimited text. The de…
Detail	`FrameHE.to_visidata()`	Open an interactive VisiData session.
Detail	`FrameHE.to_xarray()`	Return an xarray Dataset. In order to preserve columnar types, and following the…
Detail	`FrameHE.to_xlsx(fp, *, label, include_index, include_index_name, include_columns, include_columns_name, merge_hierarchical_labels, store_filter)`	Write the Frame as single-sheet XLSX file.

FrameHE: Attribute¶

Detail: FrameHE: Attribute

Detail	`FrameHE.STATIC`	bool(x) -> bool Returns True when the argument x is true, False otherwise. The b…
Detail	`FrameHE.T`	Transpose. Return a Frame with index as columns and vice versa.
Detail	`FrameHE.columns`	The IndexBase instance assigned for column labels.
Detail	`FrameHE.dtypes`	Return a Series of dytpes for each realizable column. Returns: Series
Detail	`FrameHE.index`	The IndexBase instance assigned for row labels.
Detail	`FrameHE.mloc`	The memory locations, represented as an array of integers, of the underlying Num…
Detail	`FrameHE.name`	A hashable label attached to this container. Returns: Hashable
Detail	`FrameHE.nbytes`	Return the total bytes of the underlying NumPy array. Returns: int
Detail	`FrameHE.ndim`	Return the number of dimensions, which for a Frame is always 2. Returns: int
Detail	`FrameHE.shape`	Return a tuple describing the shape of the underlying NumPy array. Returns: tp.T…
Detail	`FrameHE.size`	Return the size of the underlying NumPy array. Returns: int

FrameHE: Method¶

Detail: FrameHE: Method

Detail	`FrameHE.__bool__()`	Raises ValueError to prohibit ambiguous use of truethy evaluation.
Detail	`FrameHE.__deepcopy__(memo)`
Detail	`FrameHE.__len__()`	Length of rows in values.
Detail	`FrameHE.__round__(decimals)`	Return a Frame rounded to the given decimals. Negative decimals round to the lef…
Detail	`FrameHE.all(axis, skipna, out)`	Logical and over values along the specified axis. Args: axis: Axis, defaulting t…
Detail	`FrameHE.any(axis, skipna, out)`	Logical or over values along the specified axis. Args: axis: Axis, defaulting to…
Detail	`FrameHE.astype[key](dtypes, *, consolidate_blocks)`	Selector of columns by label. Args: key: A loc selector, either a label, a list…
Detail	`FrameHE.astype(dtype)`	Apply a single dtype to all columns.
Detail	`FrameHE.clip(*, lower, upper, axis)`	Apply a clip operation to this Frame. Note that clip operations can be applied t…
Detail	`FrameHE.count(*, skipna, skipfalsy, unique, axis)`	Return the count of non-NA values along the provided axis, where 0 provides coun…
Detail	`FrameHE.cov(*, axis, ddof)`	Compute a covariance matrix. Args: axis: if 0, each row represents a variable, w…
Detail	`FrameHE.cumprod(axis, skipna)`	Return the cumulative product over the specified axis. Args: axis: Axis, default…
Detail	`FrameHE.cumsum(axis, skipna)`	Return the cumulative sum over the specified axis. Args: axis: Axis, defaulting…
Detail	`FrameHE.drop_duplicated(*, axis, exclude_first, exclude_last)`	Return a Frame with duplicated rows (axis 0) or columns (axis 1) removed. All va…
Detail	`FrameHE.dropfalsy(axis, condition)`	Return a new Frame after removing rows (axis 0) or columns (axis 1) where any or…
Detail	`FrameHE.dropna(axis, condition)`	Return a new Frame after removing rows (axis 0) or columns (axis 1) where any or…
Detail	`FrameHE.duplicated(*, axis, exclude_first, exclude_last)`	Return an axis-sized Boolean Series that shows True for all rows (axis 0) or col…
Detail	`FrameHE.equals(other, *, compare_name, compare_dtype, compare_class, skipna)`	Return a bool from comparison to any other object. Args: compare_name: Include e…
Detail	`FrameHE.fillfalsy(value)`	Return a new Frame after replacing null (NaN or None) values with the supplied v…
Detail	`FrameHE.fillna(value)`	Return a new Frame after replacing null (NaN or None) values with the supplied v…
Detail	`FrameHE.fillna_backward(limit, *, axis)`	Return a new Frame after filling backward null (NaN or None) with the first obse…
Detail	`FrameHE.fillna_forward(limit, *, axis)`	Return a new Frame after filling forward null (NaN or None) with the last observ…
Detail	`FrameHE.fillna_leading(value, *, axis)`	Return a new Frame after filling leading (and only leading) null (NaN or None) w…
Detail	`FrameHE.fillna_trailing(value, *, axis)`	Return a new Frame after filling trailing (and only trailing) null (NaN or None)…
Detail	`FrameHE.head(count)`	Return a Frame consisting only of the top elements as specified by count. Args:…
Detail	`FrameHE.iloc_max(*, skipna, axis)`	Return the integer indices corresponding to the maximum values found. Args: skip…
Detail	`FrameHE.iloc_min(*, skipna, axis)`	Return the integer indices corresponding to the minimum values found. Args: skip…
Detail	`FrameHE.insert_after(key, container, *, fill_value)`	Create a new Frame by inserting a named Series or Frame at the position after th…
Detail	`FrameHE.insert_before(key, container, *, fill_value)`	Create a new Frame by inserting a named Series or Frame at the position before t…
Detail	`FrameHE.isfalsy()`	Return a same-indexed, Boolean Frame indicating True which values are falsy.
Detail	`FrameHE.isin(other)`	Return a same-sized Boolean Frame that shows if the same-positioned element is i…
Detail	`FrameHE.isna()`	Return a same-indexed, Boolean Frame indicating True which values are NaN or Non…
Detail	`FrameHE.join_inner(other, *, left_depth_level, left_columns, right_depth_level, right_columns, left_template, right_template, fill_value, composite_index, composite_index_fill_value)`	Perform an inner join. Args: left_depth_level: Specify one or more left index de…
Detail	`FrameHE.join_left(other, *, left_depth_level, left_columns, right_depth_level, right_columns, left_template, right_template, fill_value, composite_index, composite_index_fill_value)`	Perform a left outer join. Args: left_depth_level: Specify one or more left inde…
Detail	`FrameHE.join_outer(other, *, left_depth_level, left_columns, right_depth_level, right_columns, left_template, right_template, fill_value, composite_index, composite_index_fill_value)`	Perform an outer join. Args: left_depth_level: Specify one or more left index de…
Detail	`FrameHE.join_right(other, *, left_depth_level, left_columns, right_depth_level, right_columns, left_template, right_template, fill_value, composite_index, composite_index_fill_value)`	Perform a right outer join. Args: left_depth_level: Specify one or more left ind…
Detail	`FrameHE.loc_max(*, skipna, axis)`	Return the labels corresponding to the maximum values found. Args: skipna: if Tr…
Detail	`FrameHE.loc_min(*, skipna, axis)`	Return the labels corresponding to the minimum value found. Args: skipna: if Tru…
Detail	`FrameHE.max(axis, skipna)`	Return the maximum along the specified axis. Args: axis: Axis, defaulting to axi…
Detail	`FrameHE.mean(axis, skipna, out)`	Return the mean along the specified axis. Args: axis: Axis, defaulting to axis 0…
Detail	`FrameHE.median(axis, skipna, out)`	Return the median along the specified axis. Args: axis: Axis, defaulting to axis…
Detail	`FrameHE.min(axis, skipna, out)`	Return the minimum along the specified axis. Args: axis: Axis, defaulting to axi…
Detail	`FrameHE.notfalsy()`	Return a same-indexed, Boolean Frame indicating True which values are not falsy.
Detail	`FrameHE.notna()`	Return a same-indexed, Boolean Frame indicating True which values are not NaN or…
Detail	`FrameHE.pivot(index_fields, columns_fields, data_fields, *, func, fill_value, index_constructor)`	Produce a pivot table, where one or more columns is selected for each of index_f…
Detail	`FrameHE.pivot_stack(depth_level, *, fill_value)`	Move labels from the columns to the index, creating or extending an IndexHierarc…
Detail	`FrameHE.pivot_unstack(depth_level, *, fill_value)`	Move labels from the index to the columns, creating or extending an IndexHierarc…
Detail	`FrameHE.prod(axis, skipna, out)`	Return the product along the specified axis. Args: axis: Axis, defaulting to axi…
Detail	`FrameHE.rank_dense(*, axis, skipna, ascending, start, fill_value)`	Rank values as compactly as possible, where ties get the same value, and ranks a…
Detail	`FrameHE.rank_max(*, axis, skipna, ascending, start, fill_value)`	Rank values where tied values are assigned the maximum ordinal rank; ranks are p…
Detail	`FrameHE.rank_mean(*, axis, skipna, ascending, start, fill_value)`	Rank values where tied values are assigned the mean of the ordinal ranks; ranks…
Detail	`FrameHE.rank_min(*, axis, skipna, ascending, start, fill_value)`	Rank values where tied values are assigned the minimum ordinal rank; ranks are p…
Detail	`FrameHE.rank_ordinal(*, axis, skipna, ascending, start, fill_value)`	Rank values distinctly, where ties get distinct values that maintain their order…
Detail	`FrameHE.rehierarch(index, columns)`	Produce a new Frame with index and/or columns constructed with a transformed hie…
Detail	`FrameHE.reindex(index, columns, *, fill_value, own_index, own_columns, check_equals)`	Return a new Frame with labels defined by the provided index. The size and order…
Detail	`FrameHE.relabel(index, columns)`	Return a new Frame with transformed labels on the index. The size and ordering o…
Detail	`FrameHE.relabel_flat(index, columns)`	Return a new Frame, where an IndexHierarchy (if defined) is replaced with a flat…
Detail	`FrameHE.relabel_level_add(index, columns)`	Return a new Frame, adding a new root level to an existing IndexHierarchy, or cr…
Detail	`FrameHE.relabel_level_drop(index, columns)`	Return a new Frame, dropping one or more levels from a either the root or the le…
Detail	`FrameHE.relabel_shift_in(key, *, axis)`	Create, or augment, an IndexHierarchy by providing one or more selections via ax…
Detail	`FrameHE.relabel_shift_out(depth_level, *, axis)`	Shift values from an index on an axis to the Frame by providing one or more dept…
Detail	`FrameHE.rename(name, *, index, columns)`	Return a new Frame with an updated name attribute. Optionally update the name at…
Detail	`FrameHE.roll(index, columns, *, include_index, include_columns)`	Roll columns and/or rows by positive or negative integer counts, where columns a…
Detail	`FrameHE.sample(index, columns, *, seed)`	Randomly (optionally made deterministic with a fixed seed) extract items from th…
Detail	`FrameHE.set_index(column, *, drop, index_constructor)`	Return a new Frame produced by setting the given column as the index, optionally…
Detail	`FrameHE.set_index_hierarchy(columns, *, drop, index_constructors, reorder_for_hierarchy)`	Given an iterable of column labels, return a new Frame with those columns as an…
Detail	`FrameHE.shift(index, columns, *, fill_value)`	Shift columns and/or rows by positive or negative integer counts, where columns…
Detail	`FrameHE.sort_columns(*, ascending, kind, key)`	Return a new Frame ordered by the sorted columns. Args: ascending: Boolean, or i…
Detail	`FrameHE.sort_index(*, ascending, kind, key)`	Return a new Frame ordered by the sorted Index. Args: ascending: Boolean, or ite…
Detail	`FrameHE.sort_values(label, *, ascending, axis, kind, key)`	Return a new Frame ordered by the sorted values, where values are given by singl…
Detail	`FrameHE.std(axis, skipna, ddof, out)`	Return the standard deviaton along the specified axis. Args: axis: Axis, default…
Detail	`FrameHE.sum(axis, skipna, out)`	Sum values along the specified axis. Args: axis: Axis, defaulting to axis 0. ski…
Detail	`FrameHE.tail(count)`	Return a Frame consisting only of the bottom elements as specified by count. Arg…
Detail	`FrameHE.transpose()`	Transpose. Return a Frame with index as columns and vice versa.
Detail	`FrameHE.unique(*, axis)`	Return a NumPy array of unqiue values. If the axis argument is provied, uniquene…
Detail	`FrameHE.unset_index(*, names, consolidate_blocks, columns_constructors)`	Return a new Frame where the index is added to the front of the data, and an Ind…
Detail	`FrameHE.var(axis, skipna, ddof, out)`	Return the variance along the specified axis. Args: axis: Axis, defaulting to ax…

FrameHE: Dictionary-Like¶

Detail: FrameHE: Dictionary-Like

Detail	`FrameHE.__contains__(value)`	Inclusion of value in column labels.
Detail	`FrameHE.__iter__()`	Iterator of column labels, same as Frame.keys.
Detail	`FrameHE.__reversed__()`	Returns a reverse iterator on the frame’s columns.
Detail	`FrameHE.get(key, default)`	Return the value found at the columns key, else the default if the key is not fo…
Detail	`FrameHE.items()`	Iterator of pairs of column label and corresponding column Series.
Detail	`FrameHE.keys()`	Iterator of column labels.
Detail	`FrameHE.values`	A 2D NumPy array of all values in the Frame. As this is a single array, heteroge…

FrameHE: Display¶

Detail: FrameHE: Display

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

FrameHE: Assignment¶

Detail: FrameHE: Assignment

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

FrameHE: Selector¶

Detail: FrameHE: Selector

Detail	`FrameHE.bloc[key]`
Detail	`FrameHE.drop[key]`	Label-based selection.
Detail	`FrameHE.drop.iloc[key]`
Detail	`FrameHE.drop.loc[key]`
Detail	`FrameHE.mask[key]`	Label-based selection.
Detail	`FrameHE.mask.iloc[key]`
Detail	`FrameHE.mask.loc[key]`
Detail	`FrameHE.masked_array[key]`	Label-based selection.
Detail	`FrameHE.masked_array.iloc[key]`
Detail	`FrameHE.masked_array.loc[key]`
Detail	`FrameHE[key]`	Selector of columns by label. Args: key: A loc selector, either a label, a list…
Detail	`FrameHE.iloc[key]`
Detail	`FrameHE.loc[key]`

FrameHE: Iterator¶

Detail: FrameHE: Iterator

Detail	`FrameHE.iter_array(*, axis)`	Iterator of np.array, where arrays are drawn from columns (axis=0) or rows (axis…
Detail	`FrameHE.iter_array(, axis).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.iter_array(*, axis).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`FrameHE.iter_array(*, axis).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`FrameHE.iter_array(, axis).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_array(, axis).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.iter_array(*, axis).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_array(*, axis).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_array(, axis).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.iter_array(*, axis).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_array(*, axis).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_array(, axis).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.iter_array(, axis).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_array(, 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	`FrameHE.iter_array_items(*, axis)`	Iterator of pairs of label, np.array, where arrays are drawn from columns (axis=…
Detail	`FrameHE.iter_array_items(, axis).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.iter_array_items(*, axis).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`FrameHE.iter_array_items(*, axis).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`FrameHE.iter_array_items(, axis).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_array_items(, axis).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.iter_array_items(*, axis).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_array_items(*, axis).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_array_items(, axis).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.iter_array_items(*, axis).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_array_items(*, axis).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_array_items(, axis).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.iter_array_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	`FrameHE.iter_array_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	`FrameHE.iter_element(*, axis)`	Iterator of elements, ordered by row then column.
Detail	`FrameHE.iter_element(, axis).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.iter_element(*, axis).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`FrameHE.iter_element(*, axis).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`FrameHE.iter_element(, axis).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_element(, axis).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.iter_element(*, axis).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_element(*, axis).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_element(, axis).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.iter_element(*, axis).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_element(*, axis).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_element(, axis).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.iter_element(, axis).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_element(, 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	`FrameHE.iter_element_items(*, axis)`	Iterator of pairs of label, element, where labels are pairs of index, columns la…
Detail	`FrameHE.iter_element_items(, axis).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.iter_element_items(*, axis).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`FrameHE.iter_element_items(*, axis).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`FrameHE.iter_element_items(, axis).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_element_items(, axis).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.iter_element_items(*, axis).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_element_items(*, axis).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_element_items(, axis).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.iter_element_items(*, axis).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_element_items(*, axis).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_element_items(, axis).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.iter_element_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	`FrameHE.iter_element_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	`FrameHE.iter_group(key, *, axis, drop)`	Iterator of Frame grouped by unique values found in one or more columns (axis=0)…
Detail	`FrameHE.iter_group(key, , axis, drop).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.iter_group(key, *, axis, drop).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`FrameHE.iter_group(key, *, axis, drop).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`FrameHE.iter_group(key, , axis, drop).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_group(key, , axis, drop).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.iter_group(key, *, axis, drop).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_group(key, *, axis, drop).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_group(key, , axis, drop).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.iter_group(key, *, axis, drop).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_group(key, *, axis, drop).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_group(key, , axis, drop).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.iter_group(key, , axis, drop).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_group(key, , axis, drop).map_fill_iter_items(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_group_items(key, *, axis, drop)`	Iterator of pairs of label, Frame grouped by unique values found in one or more…
Detail	`FrameHE.iter_group_items(key, , axis, drop).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.iter_group_items(key, *, axis, drop).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`FrameHE.iter_group_items(key, *, axis, drop).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`FrameHE.iter_group_items(key, , axis, drop).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_group_items(key, , axis, drop).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.iter_group_items(key, *, axis, drop).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_group_items(key, *, axis, drop).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_group_items(key, , axis, drop).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.iter_group_items(key, *, axis, drop).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_group_items(key, *, axis, drop).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_group_items(key, , axis, drop).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.iter_group_items(key, , axis, drop).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_group_items(key, , axis, drop).map_fill_iter_items(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_group_labels(depth_level, *, axis)`	Iterator of Frame grouped by unique labels found in one or more index depths (ax…
Detail	`FrameHE.iter_group_labels(depth_level, , axis).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.iter_group_labels(depth_level, *, axis).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`FrameHE.iter_group_labels(depth_level, *, axis).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`FrameHE.iter_group_labels(depth_level, , axis).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_group_labels(depth_level, , axis).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.iter_group_labels(depth_level, *, axis).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_group_labels(depth_level, *, axis).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_group_labels(depth_level, , axis).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.iter_group_labels(depth_level, *, axis).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_group_labels(depth_level, *, axis).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_group_labels(depth_level, , axis).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.iter_group_labels(depth_level, , axis).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_group_labels(depth_level, , 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	`FrameHE.iter_group_labels_items(depth_level, *, axis)`	Iterator of pairs of label, Frame grouped by unique labels found in one or more…
Detail	`FrameHE.iter_group_labels_items(depth_level, , axis).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.iter_group_labels_items(depth_level, *, axis).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`FrameHE.iter_group_labels_items(depth_level, *, axis).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`FrameHE.iter_group_labels_items(depth_level, , axis).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_group_labels_items(depth_level, , axis).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.iter_group_labels_items(depth_level, *, axis).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_group_labels_items(depth_level, *, axis).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_group_labels_items(depth_level, , axis).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.iter_group_labels_items(depth_level, *, axis).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_group_labels_items(depth_level, *, axis).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_group_labels_items(depth_level, , axis).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.iter_group_labels_items(depth_level, , axis).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_group_labels_items(depth_level, , 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	`FrameHE.iter_series(*, axis)`	Iterator of Series, where Series are drawn from columns (axis=0) or rows (axis=1…
Detail	`FrameHE.iter_series(, axis).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.iter_series(*, axis).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`FrameHE.iter_series(*, axis).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`FrameHE.iter_series(, axis).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_series(, axis).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.iter_series(*, axis).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_series(*, axis).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_series(, axis).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.iter_series(*, axis).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_series(*, axis).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_series(, axis).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.iter_series(, axis).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_series(, 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	`FrameHE.iter_series_items(*, axis)`	Iterator of pairs of label, Series, where Series are drawn from columns (axis=0)…
Detail	`FrameHE.iter_series_items(, axis).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.iter_series_items(*, axis).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`FrameHE.iter_series_items(*, axis).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`FrameHE.iter_series_items(, axis).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_series_items(, axis).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.iter_series_items(*, axis).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_series_items(*, axis).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_series_items(, axis).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.iter_series_items(*, axis).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_series_items(*, axis).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_series_items(, axis).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.iter_series_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	`FrameHE.iter_series_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	`FrameHE.iter_tuple(*, axis, constructor)`	Iterator of NamedTuple, where tuples are drawn from columns (axis=0) or rows (ax…
Detail	`FrameHE.iter_tuple(, axis, constructor).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.iter_tuple(*, axis, constructor).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`FrameHE.iter_tuple(*, axis, constructor).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`FrameHE.iter_tuple(, axis, constructor).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_tuple(, axis, constructor).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.iter_tuple(*, axis, constructor).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_tuple(*, axis, constructor).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_tuple(, axis, constructor).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.iter_tuple(*, axis, constructor).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_tuple(*, axis, constructor).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_tuple(, axis, constructor).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.iter_tuple(, axis, constructor).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_tuple(, axis, constructor).map_fill_iter_items(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_tuple_items(*, axis, constructor)`	Iterator of pairs of label, NamedTuple, where tuples are drawn from columns (axi…
Detail	`FrameHE.iter_tuple_items(, axis, constructor).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.iter_tuple_items(*, axis, constructor).apply_iter(func)`	Apply a function to each value. A generator of resulting values. Args: func: A f…
Detail	`FrameHE.iter_tuple_items(*, axis, constructor).apply_iter_items(func)`	Apply a function to each value. A generator of resulting key, value pairs. Args:…
Detail	`FrameHE.iter_tuple_items(, axis, constructor).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_tuple_items(, axis, constructor).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.iter_tuple_items(*, axis, constructor).map_all_iter(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_tuple_items(*, axis, constructor).map_all_iter_items(mapping)`	Apply a mapping; for values not in the mapping, an Exception is raised. A genera…
Detail	`FrameHE.iter_tuple_items(, axis, constructor).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.iter_tuple_items(*, axis, constructor).map_any_iter(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_tuple_items(*, axis, constructor).map_any_iter_items(mapping)`	Apply a mapping; for values not in the mapping, the value is returned. A generat…
Detail	`FrameHE.iter_tuple_items(, axis, constructor).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.iter_tuple_items(, axis, constructor).map_fill_iter(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_tuple_items(, axis, constructor).map_fill_iter_items(mapping, , fill_value)`	Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…
Detail	`FrameHE.iter_window(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment)`	Iterator of windowed values, where values are given as a Frame. Args: size: Elem…
Detail	`FrameHE.iter_window(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.iter_window(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_window(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.iter_window(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.iter_window(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_fill(mapping, , fill_value, dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.iter_window_array(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment)`	Iterator of windowed values, where values are given as a np.array. Args: size: E…
Detail	`FrameHE.iter_window_array(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.iter_window_array(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_window_array(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.iter_window_array(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.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, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.iter_window_array_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment)`	Iterator of pairs of label, windowed values, where values are given as a np.arra…
Detail	`FrameHE.iter_window_array_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.iter_window_array_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_window_array_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.iter_window_array_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.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, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.iter_window_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment)`	Iterator of pairs of label, windowed values, where values are given as a Frame….
Detail	`FrameHE.iter_window_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply(func, , dtype, name, index_constructor)`	Apply a function to each value. Returns a new container. Args: func: A function…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.iter_window_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).apply_pool(func, , dtype, name, index_constructor, max_workers, chunksize, use_threads)`	Apply a function to each value. Employ parallel processing with either the Proce…
Detail	`FrameHE.iter_window_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_all(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, an Exception is raised. Returns…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.iter_window_items(, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment).map_any(mapping, , dtype, name, index_constructor)`	Apply a mapping; for values not in the mapping, the value is returned. Returns a…
Detail	`FrameHE.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	`FrameHE.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	`FrameHE.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, index_constructor)`	Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…
Detail	`FrameHE.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	`FrameHE.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…

FrameHE: Operator Binary¶

Detail: FrameHE: Operator Binary

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

FrameHE: Operator Unary¶

Detail: FrameHE: Operator Unary

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

FrameHE: Accessor Datetime¶

Detail: FrameHE: Accessor Datetime

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

FrameHE: Accessor String¶

Detail: FrameHE: Accessor String

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

FrameHE: Accessor Transpose¶

Detail: FrameHE: Accessor Transpose

Detail	`FrameHE.via_T.via_fill_value(fill_value)`	Interface for using binary operators and methods with a pre-defined fill value.
Detail	`FrameHE.via_T.__add__(other)`
Detail	`FrameHE.via_T.__sub__(other)`
Detail	`FrameHE.via_T.__mul__(other)`
Detail	`FrameHE.via_T.__truediv__(other)`
Detail	`FrameHE.via_T.__floordiv__(other)`
Detail	`FrameHE.via_T.__mod__(other)`
Detail	`FrameHE.via_T.__pow__(other)`
Detail	`FrameHE.via_T.__lshift__(other)`
Detail	`FrameHE.via_T.__rshift__(other)`
Detail	`FrameHE.via_T.__and__(other)`
Detail	`FrameHE.via_T.__xor__(other)`
Detail	`FrameHE.via_T.__or__(other)`
Detail	`FrameHE.via_T.__lt__(other)`
Detail	`FrameHE.via_T.__le__(other)`
Detail	`FrameHE.via_T.__eq__(other)`
Detail	`FrameHE.via_T.__ne__(other)`
Detail	`FrameHE.via_T.__gt__(other)`
Detail	`FrameHE.via_T.__ge__(other)`
Detail	`FrameHE.via_T.__radd__(other)`
Detail	`FrameHE.via_T.__rsub__(other)`
Detail	`FrameHE.via_T.__rmul__(other)`
Detail	`FrameHE.via_T.__rtruediv__(other)`
Detail	`FrameHE.via_T.__rfloordiv__(other)`

FrameHE: Accessor Fill Value¶

Detail: FrameHE: Accessor Fill Value

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

FrameHE: Accessor Regular Expression¶

Detail: FrameHE: Accessor Regular Expression

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