Frame

Detail: Frame

Frame: Constructor

Detail: Frame: Constructor

Detail

Frame.__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

Frame.from_arrow(value, *, index_depth, index_name_depth_level, columns_depth, columns_name_depth_level, dtypes, name, consolidate_blocks)

Realize a Frame from an Arrow Table. Args: value: A pyarrow.Table instance. inde…

Detail

Frame.from_clipboard(*, delimiter, index_depth, index_column_first, index_name_depth_level, columns_depth, columns_name_depth_level, 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

Frame.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

Frame.from_concat_items(items, *, axis, union, name, fill_value, consolidate_blocks)

Produce a Frame with a hierarchical index from an iterable of pairs of labels, F…

Detail

Frame.from_csv(fp, *, index_depth, index_column_first, index_name_depth_level, columns_depth, columns_name_depth_level, 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

Frame.from_delimited(fp, *, delimiter, index_depth, index_column_first, index_name_depth_level, columns_depth, columns_name_depth_level, 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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.from_hdf5(fp, *, label, index_depth, columns_depth, consolidate_blocks)

Load Frame from the contents of a table in an HDF5 file.

Detail

Frame.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

Frame.from_json(json_data, *, dtypes, name, consolidate_blocks)

Frame constructor from an in-memory JSON document. Args: json_data: a string of…

Detail

Frame.from_json_url(url, *, dtypes, name, consolidate_blocks)

Frame constructor from a JSON documenst provided via a URL. Args: url: URL to th…

Detail

Frame.from_msgpack(msgpack_data)

Frame constructor from an in-memory binary object formatted as a msgpack. Args:…

Detail

Frame.from_overlay(containers, *, index, columns, union, name)

Return a new Frame made by overlaying containers, filling in missing values (Non…

Detail

Frame.from_pandas(value, *, index_constructor, columns_constructor, name, consolidate_blocks, own_data)

Given a Pandas DataFrame, return a Frame. Args: value: Pandas DataFrame. index_c…

Detail

Frame.from_parquet(fp, *, index_depth, index_name_depth_level, columns_depth, columns_name_depth_level, columns_select, dtypes, name, consolidate_blocks)

Realize a Frame from a Parquet file. Args: fp: A string file path or Path instan…

Detail

Frame.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

Frame.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

Frame.from_series(series, *, name, columns_constructor)

Frame constructor from a Series: Args: series: A Series instance, to be realized…

Detail

Frame.from_sql(query, *, connection, index_depth, columns_depth, columns_select, dtypes, name, consolidate_blocks, parameters)

Frame constructor from an SQL query and a database connection object. Args: quer…

Detail

Frame.from_sqlite(fp, *, label, index_depth, columns_depth, dtypes, consolidate_blocks)

Load Frame from the contents of a table in an SQLite database file.

Detail

Frame.from_structured_array(array, *, index_depth, index_column_first, columns_depth, dtypes, name, consolidate_blocks, store_filter)

Convert a NumPy structed array into a Frame. Args: array: Structured NumPy array…

Detail

Frame.from_tsv(fp, *, index_depth, index_column_first, index_name_depth_level, columns_depth, columns_name_depth_level, 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

Frame.from_xlsx(fp, *, label, index_depth, index_name_depth_level, columns_depth, columns_name_depth_level, 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…

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Exporter

Detail: Frame: Exporter

Detail

Frame.to_arrow(*, include_index, include_index_name, include_columns, include_columns_name)

Return a pyarrow.Table from this Frame.

Detail

Frame.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

Frame.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

Frame.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

Frame.to_frame()

Return Frame version of this Frame, which (as the Frame is immutable) is self.

Detail

Frame.to_frame_go()

Return a FrameGO version of this Frame.

Detail

Frame.to_frame_he()

Return a FrameHE version of this Frame.

Detail

Frame.to_hdf5(fp, *, label, include_index, include_columns)

Write the Frame as single-table SQLite file.

Detail

Frame.to_html(config)

Return an HTML table representation of this Frame using standard TABLE, TR, and…

Detail

Frame.to_html_datatables(fp, show, config)

Return a complete HTML representation of this Frame using the DataTables JS libr…

Detail

Frame.to_latex(config)

Display the Frame as a LaTeX formatted table.

Detail

Frame.to_markdown(config)

Display the Frame as a Markdown formatted table.

Detail

Frame.to_msgpack()

Return a msgpack.

Detail

Frame.to_pairs(axis)

Return a tuple of major axis key, minor axis key vlaue pairs, where major axis i…

Detail

Frame.to_pandas()

Return a Pandas DataFrame.

Detail

Frame.to_parquet(fp, *, include_index, include_index_name, include_columns, include_columns_name)

Write an Arrow Parquet binary file.

Detail

Frame.to_rst(config)

Display the Frame as an RST formatted table.

Detail

Frame.to_sqlite(fp, *, label, include_index, include_columns)

Write the Frame as single-table SQLite file.

Detail

Frame.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

Frame.to_xarray()

Return an xarray Dataset. In order to preserve columnar types, and following the…

Detail

Frame.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.

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Attribute

Detail: Frame: Attribute

Detail

Frame.STATIC

bool(x) -> bool Returns True when the argument x is true, False otherwise. The b…

Detail

Frame.T

Transpose. Return a Frame with index as columns and vice versa.

Detail

Frame.columns

The IndexBase instance assigned for column labels.

Detail

Frame.dtypes

Return a Series of dytpes for each realizable column. Returns: Series

Detail

Frame.index

The IndexBase instance assigned for row labels.

Detail

Frame.mloc

The memory locations, represented as an array of integers, of the underlying Num…

Detail

Frame.name

A hashable label attached to this container. Returns: Hashable

Detail

Frame.nbytes

Return the total bytes of the underlying NumPy array. Returns: int

Detail

Frame.ndim

Return the number of dimensions, which for a Frame is always 2. Returns: int

Detail

Frame.shape

Return a tuple describing the shape of the underlying NumPy array. Returns: tp.T…

Detail

Frame.size

Return the size of the underlying NumPy array. Returns: int

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Method

Detail: Frame: Method

Detail

Frame.__bool__()

Raises ValueError to prohibit ambiguous use of truethy evaluation.

Detail

Frame.__deepcopy__(memo)

Detail

Frame.__len__()

Length of rows in values.

Detail

Frame.__round__(decimals)

Return a Frame rounded to the given decimals. Negative decimals round to the lef…

Detail

Frame.all(axis, skipna, out)

Logical and over values along the specified axis. Args: axis: Axis, defaulting t…

Detail

Frame.any(axis, skipna, out)

Logical or over values along the specified axis. Args: axis: Axis, defaulting to…

Detail

Frame.astype[key](dtypes, *, consolidate_blocks)

Selector of columns by label. Args: key: A loc selector, either a label, a list…

Detail

Frame.astype(dtype)

Apply a single dtype to all columns.

Detail

Frame.clip(*, lower, upper, axis)

Apply a clip operation to this Frame. Note that clip operations can be applied t…

Detail

Frame.count(*, skipna, axis)

Return the count of non-NA values along the provided axis, where 0 provides coun…

Detail

Frame.cov(*, axis, ddof)

Compute a covariance matrix. Args: axis: if 0, each row represents a variable, w…

Detail

Frame.cumprod(axis, skipna)

Return the cumulative product over the specified axis. Args: axis: Axis, default…

Detail

Frame.cumsum(axis, skipna)

Return the cumulative sum over the specified axis. Args: axis: Axis, defaulting…

Detail

Frame.drop_duplicated(*, axis, exclude_first, exclude_last)

Return a Frame with duplicated rows (axis 0) or columns (axis 1) removed. All va…

Detail

Frame.dropna(axis, condition)

Return a new Frame after removing rows (axis 0) or columns (axis 1) where condit…

Detail

Frame.duplicated(*, axis, exclude_first, exclude_last)

Return an axis-sized Boolean Series that shows True for all rows (axis 0) or col…

Detail

Frame.equals(other, *, compare_name, compare_dtype, compare_class, skipna)

Return a bool from comparison to any other object. Args: compare_name: Include e…

Detail

Frame.fillna(value)

Return a new Frame after replacing null (NaN or None) with the supplied value. A…

Detail

Frame.fillna_backward(limit, *, axis)

Return a new Frame after filling backward null (NaN or None) with the first obse…

Detail

Frame.fillna_forward(limit, *, axis)

Return a new Frame after filling forward null (NaN or None) with the last observ…

Detail

Frame.fillna_leading(value, *, axis)

Return a new Frame after filling leading (and only leading) null (NaN or None) w…

Detail

Frame.fillna_trailing(value, *, axis)

Return a new Frame after filling trailing (and only trailing) null (NaN or None)…

Detail

Frame.head(count)

Return a Frame consisting only of the top elements as specified by count. Args:…

Detail

Frame.iloc_max(*, skipna, axis)

Return the integer indices corresponding to the maximum values found. Args: skip…

Detail

Frame.iloc_min(*, skipna, axis)

Return the integer indices corresponding to the minimum values found. Args: skip…

Detail

Frame.insert_after(key, container, *, fill_value)

Create a new Frame by inserting a named Series or Frame at the position after th…

Detail

Frame.insert_before(key, container, *, fill_value)

Create a new Frame by inserting a named Series or Frame at the position before t…

Detail

Frame.isin(other)

Return a same-sized Boolean Frame that shows if the same-positioned element is i…

Detail

Frame.isna()

Return a same-indexed, Boolean Frame indicating True which values are NaN or Non…

Detail

Frame.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

Frame.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

Frame.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

Frame.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

Frame.loc_max(*, skipna, axis)

Return the labels corresponding to the maximum values found. Args: skipna: if Tr…

Detail

Frame.loc_min(*, skipna, axis)

Return the labels corresponding to the minimum value found. Args: skipna: if Tru…

Detail

Frame.max(axis, skipna)

Return the maximum along the specified axis. Args: axis: Axis, defaulting to axi…

Detail

Frame.mean(axis, skipna, out)

Return the mean along the specified axis. Args: axis: Axis, defaulting to axis 0…

Detail

Frame.median(axis, skipna, out)

Return the median along the specified axis. Args: axis: Axis, defaulting to axis…

Detail

Frame.min(axis, skipna, out)

Return the minimum along the specified axis. Args: axis: Axis, defaulting to axi…

Detail

Frame.notna()

Return a same-indexed, Boolean Frame indicating True which values are not NaN or…

Detail

Frame.pivot(index_fields, columns_fields, data_fields, *, func, fill_value)

Produce a pivot table, where one or more columns is selected for each of index_f…

Detail

Frame.pivot_stack(depth_level, *, fill_value)

Move labels from the columns to the index, creating or extending an IndexHierarc…

Detail

Frame.pivot_unstack(depth_level, *, fill_value)

Move labels from the index to the columns, creating or extending an IndexHierarc…

Detail

Frame.prod(axis, skipna, out)

Return the product along the specified axis. Args: axis: Axis, defaulting to axi…

Detail

Frame.rehierarch(index, columns)

Produce a new Frame with index and/or columns constructed with a transformed hie…

Detail

Frame.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

Frame.relabel(index, columns)

Return a new Frame with transformed labels on the index. The size and ordering o…

Detail

Frame.relabel_flat(index, columns)

Return a new Frame, where an IndexHierarchy (if defined) is replaced with a flat…

Detail

Frame.relabel_level_add(index, columns)

Return a new Frame, adding a new root level to an existing IndexHierarchy, or cr…

Detail

Frame.relabel_level_drop(index, columns)

Return a new Frame, dropping one or more levels from a either the root or the le…

Detail

Frame.relabel_shift_in(key, *, axis)

Create, or augment, an IndexHierarchy by providing one or more selections via ax…

Detail

Frame.relabel_shift_out(depth_level, *, axis)

Shift values from an index on an axis to the Frame by providing one or more dept…

Detail

Frame.rename(name, *, index, columns)

Return a new Frame with an updated name attribute. Optionally update the name at…

Detail

Frame.roll(index, columns, *, include_index, include_columns)

Roll columns and/or rows by positive or negative integer counts, where columns a…

Detail

Frame.sample(index, columns, *, seed)

Randomly (optionally made deterministic with a fixed seed) extract items from th…

Detail

Frame.set_index(column, *, drop, index_constructor)

Return a new frame produced by setting the given column as the index, optionally…

Detail

Frame.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

Frame.shift(index, columns, *, fill_value)

Shift columns and/or rows by positive or negative integer counts, where columns…

Detail

Frame.sort_columns(*, ascending, kind, key)

Return a new Frame ordered by the sorted columns. Args: ascending: If True, sort…

Detail

Frame.sort_index(*, ascending, kind, key)

Return a new Frame ordered by the sorted Index. Args: ascending: If True, sort i…

Detail

Frame.sort_values(label, *, ascending, axis, kind, key)

Return a new Frame ordered by the sorted values, where values are given by singl…

Detail

Frame.std(axis, skipna, ddof, out)

Return the standard deviaton along the specified axis. Args: axis: Axis, default…

Detail

Frame.sum(axis, skipna, out)

Sum values along the specified axis. Args: axis: Axis, defaulting to axis 0. ski…

Detail

Frame.tail(count)

Return a Frame consisting only of the bottom elements as specified by count. Arg…

Detail

Frame.transpose()

Transpose. Return a Frame with index as columns and vice versa.

Detail

Frame.unique(*, axis)

Return a NumPy array of unqiue values. If the axis argument is provied, uniquene…

Detail

Frame.unset_index(*, names, consolidate_blocks)

Return a new Frame where the index is added to the front of the data, and an Ind…

Detail

Frame.var(axis, skipna, ddof, out)

Return the variance along the specified axis. Args: axis: Axis, defaulting to ax…

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Dictionary-Like

Detail: Frame: Dictionary-Like

Detail

Frame.__contains__(value)

Inclusion of value in column labels.

Detail

Frame.__iter__()

Iterator of column labels, same as Frame.keys.

Detail

Frame.__reversed__()

Returns a reverse iterator on the frame’s columns.

Detail

Frame.get(key, default)

Return the value found at the columns key, else the default if the key is not fo…

Detail

Frame.items()

Iterator of pairs of column label and corresponding column Series.

Detail

Frame.keys()

Iterator of column labels.

Detail

Frame.values

A 2D NumPy array of all values in the Frame. As this is a single array, heteroge…

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Display

Detail: Frame: Display

Detail

Frame.interface

A Frame documenting the interface of this class.

Detail

Frame.__repr__()

Detail

Frame.__str__()

Return str(self).

Detail

Frame.display(config)

Return a Display, capable of providing a string representation. Args: config: A…

Detail

Frame.display_tall(config)

Maximize vertical presentation. Return a Display, capable of providing a string…

Detail

Frame.display_wide(config)

Maximize horizontal presentation. Return a Display, capable of providing a strin…

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Assignment

Detail: Frame: Assignment

Detail

Frame.assign[key](value, *, fill_value)

Assign the value in the position specified by the selector. The name attribute i…

Detail

Frame.assign[key].apply(func, *, fill_value)

Provide a function to apply to the assignment target, and use that as the assign…

Detail

Frame.assign.iloc[key](value, *, fill_value)

Assign the value in the position specified by the selector. The name attribute i…

Detail

Frame.assign.iloc[key].apply(func, *, fill_value)

Provide a function to apply to the assignment target, and use that as the assign…

Detail

Frame.assign.loc[key](value, *, fill_value)

Assign the value in the position specified by the selector. The name attribute i…

Detail

Frame.assign.loc[key].apply(func, *, fill_value)

Provide a function to apply to the assignment target, and use that as the assign…

Detail

Frame.assign.bloc[key](value, *, fill_value)

Assign the value in the position specified by the selector. The name attribute i…

Detail

Frame.assign.bloc[key].apply(func, *, fill_value)

Provide a function to apply to the assignment target, and use that as the assign…

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Selector

Detail: Frame: Selector

Detail

Frame.bloc[key]

Detail

Frame.drop[key]

Label-based selection.

Detail

Frame.drop.iloc[key]

Detail

Frame.drop.loc[key]

Detail

Frame.mask[key]

Label-based selection.

Detail

Frame.mask.iloc[key]

Detail

Frame.mask.loc[key]

Detail

Frame.masked_array[key]

Label-based selection.

Detail

Frame.masked_array.iloc[key]

Detail

Frame.masked_array.loc[key]

Detail

Frame[key]

Selector of columns by label. Args: key: A loc selector, either a label, a list…

Detail

Frame.iloc[key]

Detail

Frame.loc[key]

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Iterator

Detail: Frame: Iterator

Detail

Frame.iter_array(*, axis)

Iterator of np.array, where arrays are drawn from columns (axis=0) or rows (axis…

Detail

Frame.iter_array(*, axis).apply(func, *, dtype, name)

Apply a function to each value. Returns a new container. Args: func: A function…

Detail

Frame.iter_array(*, axis).apply_iter(func)

Apply a function to each value. A generator of resulting values. Args: func: A f…

Detail

Frame.iter_array(*, axis).apply_iter_items(func)

Apply a function to each value. A generator of resulting key, value pairs. Args:…

Detail

Frame.iter_array(*, 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

Frame.iter_array(*, axis).map_all(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, an Exception is raised. Returns…

Detail

Frame.iter_array(*, axis).map_all_iter(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.iter_array(*, axis).map_all_iter_items(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.iter_array(*, axis).map_any(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, the value is returned. Returns a…

Detail

Frame.iter_array(*, axis).map_any_iter(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.iter_array(*, axis).map_any_iter_items(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.iter_array(*, axis).map_fill(mapping, *, fill_value, dtype, name)

Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…

Detail

Frame.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

Frame.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

Frame.iter_array_items(*, axis)

Iterator of pairs of label, np.array, where arrays are drawn from columns (axis=…

Detail

Frame.iter_array_items(*, axis).apply(func, *, dtype, name)

Apply a function to each value. Returns a new container. Args: func: A function…

Detail

Frame.iter_array_items(*, axis).apply_iter(func)

Apply a function to each value. A generator of resulting values. Args: func: A f…

Detail

Frame.iter_array_items(*, axis).apply_iter_items(func)

Apply a function to each value. A generator of resulting key, value pairs. Args:…

Detail

Frame.iter_array_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

Frame.iter_array_items(*, axis).map_all(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, an Exception is raised. Returns…

Detail

Frame.iter_array_items(*, axis).map_all_iter(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.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

Frame.iter_array_items(*, axis).map_any(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, the value is returned. Returns a…

Detail

Frame.iter_array_items(*, axis).map_any_iter(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.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

Frame.iter_array_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

Frame.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

Frame.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

Frame.iter_element(*, axis)

Iterator of elements, ordered by row then column.

Detail

Frame.iter_element(*, axis).apply(func, *, dtype, name)

Apply a function to each value. Returns a new container. Args: func: A function…

Detail

Frame.iter_element(*, axis).apply_iter(func)

Apply a function to each value. A generator of resulting values. Args: func: A f…

Detail

Frame.iter_element(*, axis).apply_iter_items(func)

Apply a function to each value. A generator of resulting key, value pairs. Args:…

Detail

Frame.iter_element(*, 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

Frame.iter_element(*, axis).map_all(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, an Exception is raised. Returns…

Detail

Frame.iter_element(*, axis).map_all_iter(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.iter_element(*, axis).map_all_iter_items(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.iter_element(*, axis).map_any(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, the value is returned. Returns a…

Detail

Frame.iter_element(*, axis).map_any_iter(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.iter_element(*, axis).map_any_iter_items(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.iter_element(*, axis).map_fill(mapping, *, fill_value, dtype, name)

Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…

Detail

Frame.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

Frame.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

Frame.iter_element_items(*, axis)

Iterator of pairs of label, element, where labels are pairs of index, columns la…

Detail

Frame.iter_element_items(*, axis).apply(func, *, dtype, name)

Apply a function to each value. Returns a new container. Args: func: A function…

Detail

Frame.iter_element_items(*, axis).apply_iter(func)

Apply a function to each value. A generator of resulting values. Args: func: A f…

Detail

Frame.iter_element_items(*, axis).apply_iter_items(func)

Apply a function to each value. A generator of resulting key, value pairs. Args:…

Detail

Frame.iter_element_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

Frame.iter_element_items(*, axis).map_all(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, an Exception is raised. Returns…

Detail

Frame.iter_element_items(*, axis).map_all_iter(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.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

Frame.iter_element_items(*, axis).map_any(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, the value is returned. Returns a…

Detail

Frame.iter_element_items(*, axis).map_any_iter(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.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

Frame.iter_element_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

Frame.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

Frame.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

Frame.iter_group(key, *, axis)

Iterator of Frame grouped by unique values found in one or more columns (axis=0)…

Detail

Frame.iter_group(key, *, axis).apply(func, *, dtype, name)

Apply a function to each value. Returns a new container. Args: func: A function…

Detail

Frame.iter_group(key, *, axis).apply_iter(func)

Apply a function to each value. A generator of resulting values. Args: func: A f…

Detail

Frame.iter_group(key, *, axis).apply_iter_items(func)

Apply a function to each value. A generator of resulting key, value pairs. Args:…

Detail

Frame.iter_group(key, *, 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

Frame.iter_group(key, *, axis).map_all(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, an Exception is raised. Returns…

Detail

Frame.iter_group(key, *, axis).map_all_iter(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.iter_group(key, *, axis).map_all_iter_items(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.iter_group(key, *, axis).map_any(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, the value is returned. Returns a…

Detail

Frame.iter_group(key, *, axis).map_any_iter(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.iter_group(key, *, axis).map_any_iter_items(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.iter_group(key, *, axis).map_fill(mapping, *, fill_value, dtype, name)

Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…

Detail

Frame.iter_group(key, *, axis).map_fill_iter(mapping, *, fill_value)

Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…

Detail

Frame.iter_group(key, *, 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

Frame.iter_group_items(key, *, axis)

Iterator of pairs of label, Frame grouped by unique values found in one or more…

Detail

Frame.iter_group_items(key, *, axis).apply(func, *, dtype, name)

Apply a function to each value. Returns a new container. Args: func: A function…

Detail

Frame.iter_group_items(key, *, axis).apply_iter(func)

Apply a function to each value. A generator of resulting values. Args: func: A f…

Detail

Frame.iter_group_items(key, *, axis).apply_iter_items(func)

Apply a function to each value. A generator of resulting key, value pairs. Args:…

Detail

Frame.iter_group_items(key, *, 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

Frame.iter_group_items(key, *, axis).map_all(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, an Exception is raised. Returns…

Detail

Frame.iter_group_items(key, *, axis).map_all_iter(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.iter_group_items(key, *, axis).map_all_iter_items(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.iter_group_items(key, *, axis).map_any(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, the value is returned. Returns a…

Detail

Frame.iter_group_items(key, *, axis).map_any_iter(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.iter_group_items(key, *, axis).map_any_iter_items(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.iter_group_items(key, *, axis).map_fill(mapping, *, fill_value, dtype, name)

Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…

Detail

Frame.iter_group_items(key, *, axis).map_fill_iter(mapping, *, fill_value)

Apply a mapping; for values not in the mapping, the fill_value is returned. A ge…

Detail

Frame.iter_group_items(key, *, 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

Frame.iter_group_labels(depth_level, *, axis)

Iterator of Frame grouped by unique labels found in one or more index depths (ax…

Detail

Frame.iter_group_labels(depth_level, *, axis).apply(func, *, dtype, name)

Apply a function to each value. Returns a new container. Args: func: A function…

Detail

Frame.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

Frame.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

Frame.iter_group_labels(depth_level, *, 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

Frame.iter_group_labels(depth_level, *, axis).map_all(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, an Exception is raised. Returns…

Detail

Frame.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

Frame.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

Frame.iter_group_labels(depth_level, *, axis).map_any(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, the value is returned. Returns a…

Detail

Frame.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

Frame.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

Frame.iter_group_labels(depth_level, *, axis).map_fill(mapping, *, fill_value, dtype, name)

Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…

Detail

Frame.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

Frame.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

Frame.iter_group_labels_items(depth_level, *, axis)

Iterator of pairs of label, Frame grouped by unique labels found in one or more…

Detail

Frame.iter_group_labels_items(depth_level, *, axis).apply(func, *, dtype, name)

Apply a function to each value. Returns a new container. Args: func: A function…

Detail

Frame.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

Frame.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

Frame.iter_group_labels_items(depth_level, *, 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

Frame.iter_group_labels_items(depth_level, *, axis).map_all(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, an Exception is raised. Returns…

Detail

Frame.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

Frame.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

Frame.iter_group_labels_items(depth_level, *, axis).map_any(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, the value is returned. Returns a…

Detail

Frame.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

Frame.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

Frame.iter_group_labels_items(depth_level, *, axis).map_fill(mapping, *, fill_value, dtype, name)

Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…

Detail

Frame.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

Frame.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

Frame.iter_series(*, axis)

Iterator of Series, where Series are drawn from columns (axis=0) or rows (axis=1…

Detail

Frame.iter_series(*, axis).apply(func, *, dtype, name)

Apply a function to each value. Returns a new container. Args: func: A function…

Detail

Frame.iter_series(*, axis).apply_iter(func)

Apply a function to each value. A generator of resulting values. Args: func: A f…

Detail

Frame.iter_series(*, axis).apply_iter_items(func)

Apply a function to each value. A generator of resulting key, value pairs. Args:…

Detail

Frame.iter_series(*, 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

Frame.iter_series(*, axis).map_all(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, an Exception is raised. Returns…

Detail

Frame.iter_series(*, axis).map_all_iter(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.iter_series(*, axis).map_all_iter_items(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.iter_series(*, axis).map_any(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, the value is returned. Returns a…

Detail

Frame.iter_series(*, axis).map_any_iter(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.iter_series(*, axis).map_any_iter_items(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.iter_series(*, axis).map_fill(mapping, *, fill_value, dtype, name)

Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…

Detail

Frame.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

Frame.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

Frame.iter_series_items(*, axis)

Iterator of pairs of label, Series, where Series are drawn from columns (axis=0)…

Detail

Frame.iter_series_items(*, axis).apply(func, *, dtype, name)

Apply a function to each value. Returns a new container. Args: func: A function…

Detail

Frame.iter_series_items(*, axis).apply_iter(func)

Apply a function to each value. A generator of resulting values. Args: func: A f…

Detail

Frame.iter_series_items(*, axis).apply_iter_items(func)

Apply a function to each value. A generator of resulting key, value pairs. Args:…

Detail

Frame.iter_series_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

Frame.iter_series_items(*, axis).map_all(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, an Exception is raised. Returns…

Detail

Frame.iter_series_items(*, axis).map_all_iter(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.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

Frame.iter_series_items(*, axis).map_any(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, the value is returned. Returns a…

Detail

Frame.iter_series_items(*, axis).map_any_iter(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.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

Frame.iter_series_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

Frame.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

Frame.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

Frame.iter_tuple(*, axis, constructor)

Iterator of NamedTuple, where tuples are drawn from columns (axis=0) or rows (ax…

Detail

Frame.iter_tuple(*, axis, constructor).apply(func, *, dtype, name)

Apply a function to each value. Returns a new container. Args: func: A function…

Detail

Frame.iter_tuple(*, axis, constructor).apply_iter(func)

Apply a function to each value. A generator of resulting values. Args: func: A f…

Detail

Frame.iter_tuple(*, axis, constructor).apply_iter_items(func)

Apply a function to each value. A generator of resulting key, value pairs. Args:…

Detail

Frame.iter_tuple(*, axis, constructor).apply_pool(func, *, dtype, name, max_workers, chunksize, use_threads)

Apply a function to each value. Employ parallel processing with either the Proce…

Detail

Frame.iter_tuple(*, axis, constructor).map_all(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, an Exception is raised. Returns…

Detail

Frame.iter_tuple(*, axis, constructor).map_all_iter(mapping)

Apply a mapping; for values not in the mapping, an Exception is raised. A genera…

Detail

Frame.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

Frame.iter_tuple(*, axis, constructor).map_any(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, the value is returned. Returns a…

Detail

Frame.iter_tuple(*, axis, constructor).map_any_iter(mapping)

Apply a mapping; for values not in the mapping, the value is returned. A generat…

Detail

Frame.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

Frame.iter_tuple(*, axis, constructor).map_fill(mapping, *, fill_value, dtype, name)

Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…

Detail

Frame.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

Frame.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

Frame.iter_tuple_items(*, axis, constructor)

Iterator of pairs of label, NamedTuple, where tuples are drawn from columns (axi…

Detail

Frame.iter_tuple_items(*, axis, constructor).apply(func, *, dtype, name)

Apply a function to each value. Returns a new container. Args: func: A function…

Detail

Frame.iter_tuple_items(*, axis, constructor).apply_iter(func)

Apply a function to each value. A generator of resulting values. Args: func: A f…

Detail

Frame.iter_tuple_items(*, axis, constructor).apply_iter_items(func)

Apply a function to each value. A generator of resulting key, value pairs. Args:…

Detail

Frame.iter_tuple_items(*, axis, constructor).apply_pool(func, *, dtype, name, max_workers, chunksize, use_threads)

Apply a function to each value. Employ parallel processing with either the Proce…

Detail

Frame.iter_tuple_items(*, axis, constructor).map_all(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, an Exception is raised. Returns…

Detail

Frame.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

Frame.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

Frame.iter_tuple_items(*, axis, constructor).map_any(mapping, *, dtype, name)

Apply a mapping; for values not in the mapping, the value is returned. Returns a…

Detail

Frame.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

Frame.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

Frame.iter_tuple_items(*, axis, constructor).map_fill(mapping, *, fill_value, dtype, name)

Apply a mapping; for values not in the mapping, the fill_value is returned. Retu…

Detail

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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

Frame.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…

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Operator Binary

Detail: Frame: Operator Binary

Detail

Frame.__add__(other)

Detail

Frame.__and__(other)

Detail

Frame.__eq__(other)

Detail

Frame.__floordiv__(other)

Detail

Frame.__ge__(other)

Detail

Frame.__gt__(other)

Detail

Frame.__le__(other)

Detail

Frame.__lt__(other)

Detail

Frame.__matmul__(other)

Detail

Frame.__mod__(other)

Detail

Frame.__mul__(other)

Detail

Frame.__ne__(other)

Detail

Frame.__or__(other)

Detail

Frame.__pow__(other)

Detail

Frame.__radd__(other)

Detail

Frame.__rfloordiv__(other)

Detail

Frame.__rmatmul__(other)

Detail

Frame.__rmul__(other)

Detail

Frame.__rshift__(other)

Detail

Frame.__rsub__(other)

Detail

Frame.__rtruediv__(other)

Detail

Frame.__sub__(other)

Detail

Frame.__truediv__(other)

Detail

Frame.__xor__(other)

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Operator Unary

Detail: Frame: Operator Unary

Detail

Frame.__abs__()

Detail

Frame.__invert__()

Detail

Frame.__neg__()

Detail

Frame.__pos__()

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Accessor Datetime

Detail: Frame: Accessor Datetime

Detail

Frame.via_dt.year

Return the year of each element.

Detail

Frame.via_dt.month

Return the month of each element, between 1 and 12 inclusive.

Detail

Frame.via_dt.day

Return the day of each element, between 1 and the number of days in the given mo…

Detail

Frame.via_dt.weekday()

Return the day of the week as an integer, where Monday is 0 and Sunday is 6.

Detail

Frame.via_dt.timetuple()

Return a time.struct_time such as returned by time.localtime().

Detail

Frame.via_dt.fromisoformat()

Return a datetime.date object from an ISO 8601 format.

Detail

Frame.via_dt.isoformat(sep, timespec)

Return a string representing the date in ISO 8601 format, YYYY-MM-DD.

Detail

Frame.via_dt.strftime(format)

Return a string representing the date, controlled by an explicit format string.

Detail

Frame.via_dt.strptime(format)

Return a Python datetime object from parsing a string defined with format.

Detail

Frame.via_dt.strpdate(format)

Return a Python date object from parsing a string defined with format.

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Accessor String

Detail: Frame: Accessor String

Detail

Frame.via_str.capitalize()

Return a container with only the first character of each element capitalized.

Detail

Frame.via_str.center(width, fillchar)

Return a container with its elements centered in a string of length width.

Detail

Frame.via_str.count(sub, start, end)

Returns a container with the number of non-overlapping occurrences of substring…

Detail

Frame.via_str.decode(encoding, errors)

Apply str.decode() to each element. Elements must be bytes.

Detail

Frame.via_str.encode(encoding, errors)

Apply str.encode() to each element. Elements must be strings.

Detail

Frame.via_str.endswith(suffix, start, end)

Returns a container with the number of non-overlapping occurrences of substring…

Detail

Frame.via_str.find(sub, start, end)

For each element, return the lowest index in the string where substring sub is f…

Detail

Frame.via_str.index(sub, start, end)

Like find, but raises ValueError when the substring is not found.

Detail

Frame.via_str.isalnum()

Returns true for each element if all characters in the string are alphanumeric a…

Detail

Frame.via_str.isalpha()

Returns true for each element if all characters in the string are alphabetic and…

Detail

Frame.via_str.isdecimal()

For each element, return True if there are only decimal characters in the elemen…

Detail

Frame.via_str.isdigit()

Returns true for each element if all characters in the string are digits and the…

Detail

Frame.via_str.islower()

Returns true for each element if all cased characters in the string are lowercas…

Detail

Frame.via_str.isnumeric()

For each element in self, return True if there are only numeric characters in th…

Detail

Frame.via_str.isspace()

Returns true for each element if there are only whitespace characters in the str…

Detail

Frame.via_str.istitle()

Returns true for each element if the element is a titlecased string and there is…

Detail

Frame.via_str.isupper()

Returns true for each element if all cased characters in the string are uppercas…

Detail

Frame.via_str.ljust(width, fillchar)

Return a container with its elements ljusted in a string of length width.

Detail

Frame.via_str.len()

Return the length of the string.

Detail

Frame.via_str.lower()

Return an array with the elements of self converted to lowercase.

Detail

Frame.via_str.lstrip(chars)

For each element, return a copy with the leading characters removed.

Detail

Frame.via_str.partition(sep)

Partition each element around sep.

Detail

Frame.via_str.replace(old, new, count)

Return a container with its elements replaced in a string of length width.

Detail

Frame.via_str.rfind(sub, start, end)

For each element, return the highest index in the string where substring sub is…

Detail

Frame.via_str.rindex(sub, start, end)

Like rfind, but raises ValueError when the substring sub is not found.

Detail

Frame.via_str.rjust(width, fillchar)

Return a container with its elements rjusted in a string of length width.

Detail

Frame.via_str.rpartition(sep)

Partition (split) each element around the right-most separator.

Detail

Frame.via_str.rsplit(sep, maxsplit)

For each element, return a tuple of the words in the string, using sep as the de…

Detail

Frame.via_str.rstrip(chars)

For each element, return a copy with the trailing characters removed.

Detail

Frame.via_str.split(sep, maxsplit)

For each element, return a tuple of the words in the string, using sep as the de…

Detail

Frame.via_str.startswith(prefix, start, end)

Returns a container with the number of non-overlapping occurrences of substring…

Detail

Frame.via_str.strip(chars)

For each element, return a copy with the leading and trailing characters removed…

Detail

Frame.via_str.swapcase()

Return a container with uppercase characters converted to lowercase and vice ver…

Detail

Frame.via_str.title()

Return a container with uppercase characters converted to lowercase and vice ver…

Detail

Frame.via_str.upper()

Return a container with uppercase characters converted to lowercase and vice ver…

Detail

Frame.via_str.zfill(width)

Return the string left-filled with zeros.

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose

Frame: Accessor Transpose

Detail: Frame: Accessor Transpose

Detail

Frame.via_T.__add__(other)

Detail

Frame.via_T.__sub__(other)

Detail

Frame.via_T.__mul__(other)

Detail

Frame.via_T.__truediv__(other)

Detail

Frame.via_T.__floordiv__(other)

Detail

Frame.via_T.__mod__(other)

Detail

Frame.via_T.__pow__(other)

Detail

Frame.via_T.__lshift__(other)

Detail

Frame.via_T.__rshift__(other)

Detail

Frame.via_T.__and__(other)

Detail

Frame.via_T.__xor__(other)

Detail

Frame.via_T.__or__(other)

Detail

Frame.via_T.__lt__(other)

Detail

Frame.via_T.__le__(other)

Detail

Frame.via_T.__eq__(other)

Detail

Frame.via_T.__ne__(other)

Detail

Frame.via_T.__gt__(other)

Detail

Frame.via_T.__ge__(other)

Detail

Frame.via_T.__radd__(other)

Detail

Frame.via_T.__rsub__(other)

Detail

Frame.via_T.__rmul__(other)

Detail

Frame.via_T.__rtruediv__(other)

Detail

Frame.via_T.__rfloordiv__(other)

Frame: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Transpose