Series

Detail: Series

Series: Constructor

Detail: Series: Constructor

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Series.__init__(values, *, index, name, dtype, index_constructor, own_index)

Initializer. Args: values: An iterable of values to be aligned with the supplied…

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Series.from_concat(containers, *, index, name)

Concatenate multiple Series into a new Series. Args: containers: Iterable of Ser…

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Series.from_concat_items(items, *, name, index_constructor)

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

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Series.from_dict(mapping, *, dtype, name, index_constructor)

Series construction from a dictionary, where the first pair value is the index a…

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Series.from_element(element, *, index, dtype, name, index_constructor, own_index)

Create a Series from a single element. The size of the resultant container will…

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Series.from_items(pairs, *, dtype, name, index_constructor)

Series construction from an iterator or generator of pairs, where the first pair…

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Series.from_overlay(containers, *, index, union, name)

Return a new Series made by overlaying containers, filling in missing values (No…

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Series.from_pandas(value, *, index_constructor, name, own_data)

Given a Pandas Series, return a Series. Args: value: Pandas Series. own_data: If…

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Exporter

Detail: Series: Exporter

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Series.to_frame(axis)

Return a Frame view of this Series. As underlying data is immutable, this is a n…

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Series.to_frame_go(axis)

Return FrameGO view of this Series. As underlying data is immutable, this is a n…

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Series.to_html(config, style_config)

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

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Series.to_html_datatables(fp, show, config)

Return a complete HTML representation of this Series using the DataTables JS lib…

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Series.to_pairs()

Return a tuple of tuples, where each inner tuple is a pair of index label, value…

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Series.to_pandas()

Return a Pandas Series. Returns: pandas.Series

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Series.to_series_he()

Return a SeriesHE from this Series.

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Series.to_visidata()

Open an interactive VisiData session.

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Attribute

Detail: Series: Attribute

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Series.STATIC

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

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Series.T

Transpose. For a 1D immutable container, this returns a reference to self. Retur…

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Series.dtype

Return the dtype of the underlying NumPy array. Returns: numpy.dtype

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Series.index

The index instance assigned to this container. Returns: Index

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Series.mloc

The memory location, represented as an integer, of the underlying NumPy array.

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Series.name

A hashable label attached to this container. Returns: Hashable

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Series.nbytes

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

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Series.ndim

Return the number of dimensions, which for a Series is always 1. Returns: int

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Series.shape

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

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Series.size

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

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Method

Detail: Series: Method

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Series.__bool__()

Raises ValueError to prohibit ambiguous use of truethy evaluation.

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Series.__deepcopy__(memo)

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Series.__len__()

Length of values.

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Series.__round__(decimals)

Return a Series rounded to the given decimals. Negative decimals round to the le…

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Series.all(axis, skipna, out)

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

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Series.any(axis, skipna, out)

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

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Series.astype(dtype)

Return a Series with type determined by dtype argument. Note that for Series, th…

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Series.clip(*, lower, upper)

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

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Series.count(*, skipna, skipfalsy, unique)

Return the count of non-NA, non-falsy, and/or unique elements. Args: skipna: ski…

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Series.cov(other, *, ddof)

Return the index-aligned covariance to the supplied Series. Args: ddof: Delta de…

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Series.cumprod(axis, skipna)

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

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Series.cumsum(axis, skipna)

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

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Series.drop_duplicated(*, exclude_first, exclude_last)

Return a Series with duplicated values removed. Args: exclude_first: Boolean to…

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Series.dropfalsy()

Return a new Series after removing values of falsy.

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Series.dropna()

Return a new Series after removing values of NaN or None.

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Series.duplicated(*, exclude_first, exclude_last)

Return a same-sized Boolean Series that shows True for all values that are dupli…

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

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

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Series.fillfalsy(value)

Return a new Series after replacing falsy values with the supplied value. The va…

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Series.fillna(value)

Return a new Series after replacing NA (NaN or None) with the supplied value. Th…

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Series.fillna_backward(limit)

Return a new Series after feeding backward the last non-null (NaN or None) obser…

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Series.fillna_forward(limit)

Return a new Series after feeding forward the last non-null (NaN or None) observ…

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Series.fillna_leading(value)

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

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Series.fillna_trailing(value)

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

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Series.head(count)

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

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Series.iloc_max(*, skipna)

Return the integer index corresponding to the maximum value. Args: skipna: if Tr…

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Series.iloc_min(*, skipna)

Return the integer index corresponding to the minimum value found. Args: skipna:…

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Series.iloc_searchsorted(values, *, side_left)

Given a sorted Series, return the iloc (integer) position(s) at which insertion…

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Series.insert_after(key, container)

Create a new Series by inserting a Series at the position after the label specif…

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Series.insert_before(key, container)

Create a new Series by inserting a Series at the position before the label speci…

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Series.isfalsy()

Return a same-indexed, Boolean Series indicating which values are falsy.

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Series.isin(other)

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

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Series.isna()

Return a same-indexed, Boolean Series indicating which values are NaN or None.

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Series.loc_max(*, skipna)

Return the label corresponding to the maximum value found. Args: skipna: if True…

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Series.loc_min(*, skipna)

Return the label corresponding to the minimum value found. Args: skipna: if True…

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Series.loc_searchsorted(values, *, side_left, fill_value)

Given a sorted Series, return the loc (label) position(s) at which insertion in…

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Series.max(axis, skipna)

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

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Series.mean(axis, skipna, out)

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

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Series.median(axis, skipna, out)

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

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Series.min(axis, skipna, out)

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

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Series.notfalsy()

Return a same-indexed, Boolean Series indicating which values are falsy.

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Series.notna()

Return a same-indexed, Boolean Series indicating which values are NaN or None.

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Series.prod(axis, skipna, out)

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

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Series.rank_dense(*, skipna, ascending, start, fill_value)

Rank values as compactly as possible, where ties get the same value, and ranks a…

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Series.rank_max(*, skipna, ascending, start, fill_value)

Rank values where tied values are assigned the maximum ordinal rank; ranks are p…

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Series.rank_mean(*, skipna, ascending, start, fill_value)

Rank values where tied values are assigned the mean of the ordinal ranks; ranks…

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Series.rank_min(*, skipna, ascending, start, fill_value)

Rank values where tied values are assigned the minimum ordinal rank; ranks are p…

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Series.rank_ordinal(*, skipna, ascending, start, fill_value)

Rank values distinctly, where ties get distinct values that maintain their order…

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Series.rehierarch(depth_map)

Return a new Series with new a hierarchy based on the supplied depth_map.

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Series.reindex(index, *, fill_value, own_index, check_equals)

Return a new Series with labels defined by the provided index. The size and orde…

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Series.relabel(index)

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

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Series.relabel_flat()

Return a new Series, where an IndexHierarchy (if defined) is replaced with a fla…

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Series.relabel_level_add(level)

Return a new Series, adding a new root level to an existing IndexHierarchy, or c…

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Series.relabel_level_drop(count)

Return a new Series, dropping one or more levels from a either the root or the l…

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Series.rename(name, *, index)

Return a new Series with an updated name attribute.

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Series.roll(shift, *, include_index)

Return a Series with values rotated forward and wrapped around the index (with a…

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Series.sample(count, *, seed)

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

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Series.shift(shift, *, fill_value)

Return a Series with values shifted forward on the index (with a positive shift)…

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

Return a new Series ordered by the sorted Index. Args: * ascending: Boolean, or…

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Series.sort_values(*, ascending, kind, key)

Return a new Series ordered by the sorted values. Args: * ascending: If True, so…

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

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

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Series.sum(axis, skipna, out)

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

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Series.tail(count)

Return a Series consisting only of the bottom elements as specified by count. s…

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Series.transpose()

Transpose. For a 1D immutable container, this returns a reference to self. Retur…

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Series.unique()

Return a NumPy array of unique values. Returns: numpy.ndarray

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

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

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Dictionary-Like

Detail: Series: Dictionary-Like

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Series.__contains__(value)

Inclusion of value in index labels. Returns: bool

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Series.__iter__()

Iterator of index labels, same as Series.keys. Returns: Iterator[Hashasble]

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Series.__reversed__()

Returns a reverse iterator on the series’ index. Returns: Index

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Series.get(key, default)

Return the value found at the index key, else the default if the key is not foun…

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Series.items()

Iterator of pairs of index label and value. Returns: Iterator[Tuple[Hashable, An…

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Series.keys()

Iterator of index labels. Returns: Iterator[Hashable]

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Series.values

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Display

Detail: Series: Display

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Series.interface

A Frame documenting the interface of this class.

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Series.__repr__()

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Series.__str__()

Return str(self).

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Series.display(config, *, style_config)

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

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Series.display_tall(config)

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

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Series.display_wide(config)

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

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Assignment

Detail: Series: Assignment

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

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

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

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

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

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

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

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

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

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

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

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

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Selector

Detail: Series: Selector

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Series.drop[key]

Label-based selection.

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Series.drop.iloc[key]

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Series.drop.loc[key]

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Series.mask[key]

Label-based selection.

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Series.mask.iloc[key]

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Series.mask.loc[key]

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Series.masked_array[key]

Label-based selection.

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Series.masked_array.iloc[key]

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Series.masked_array.loc[key]

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Series[key]

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

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Series.iloc[key]

Interface for position-based selection.

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Series.loc[key]

Interface for label-based selection.

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Iterator

Detail: Series: Iterator

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Series.iter_element()

Iterator of elements.

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Series.iter_element().apply(func, *, dtype, name)

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

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Series.iter_element().apply_iter(func)

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

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Series.iter_element().apply_iter_items(func)

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

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Series.iter_element().apply_pool(func, *, dtype, name, max_workers, chunksize, use_threads)

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

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Series.iter_element().map_all(mapping, *, dtype, name)

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

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Series.iter_element().map_all_iter(mapping)

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

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Series.iter_element().map_all_iter_items(mapping)

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

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Series.iter_element().map_any(mapping, *, dtype, name)

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

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Series.iter_element().map_any_iter(mapping)

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

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Series.iter_element().map_any_iter_items(mapping)

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

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Series.iter_element().map_fill(mapping, *, fill_value, dtype, name)

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

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Series.iter_element().map_fill_iter(mapping, *, fill_value)

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

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Series.iter_element().map_fill_iter_items(mapping, *, fill_value)

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

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Series.iter_element_items()

Iterator of label, element pairs.

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Series.iter_element_items().apply(func, *, dtype, name)

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

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Series.iter_element_items().apply_iter(func)

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

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Series.iter_element_items().apply_iter_items(func)

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

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Series.iter_element_items().apply_pool(func, *, dtype, name, max_workers, chunksize, use_threads)

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

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Series.iter_element_items().map_all(mapping, *, dtype, name)

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

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Series.iter_element_items().map_all_iter(mapping)

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

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Series.iter_element_items().map_all_iter_items(mapping)

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

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Series.iter_element_items().map_any(mapping, *, dtype, name)

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

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Series.iter_element_items().map_any_iter(mapping)

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

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Series.iter_element_items().map_any_iter_items(mapping)

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

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Series.iter_element_items().map_fill(mapping, *, fill_value, dtype, name)

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

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Series.iter_element_items().map_fill_iter(mapping, *, fill_value)

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

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Series.iter_element_items().map_fill_iter_items(mapping, *, fill_value)

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

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Series.iter_group(*, axis)

Iterator of Series, where each Series matches unique values.

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Series.iter_group(*, axis).apply(func, *, dtype, name)

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

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Series.iter_group(*, axis).apply_iter(func)

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

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Series.iter_group(*, axis).apply_iter_items(func)

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

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Series.iter_group(*, axis).apply_pool(func, *, dtype, name, max_workers, chunksize, use_threads)

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

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Series.iter_group(*, axis).map_all(mapping, *, dtype, name)

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

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Series.iter_group(*, axis).map_all_iter(mapping)

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

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Series.iter_group(*, axis).map_all_iter_items(mapping)

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

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Series.iter_group(*, axis).map_any(mapping, *, dtype, name)

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

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Series.iter_group(*, axis).map_any_iter(mapping)

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

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Series.iter_group(*, axis).map_any_iter_items(mapping)

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

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

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

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Series.iter_group(*, axis).map_fill_iter(mapping, *, fill_value)

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

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Series.iter_group(*, axis).map_fill_iter_items(mapping, *, fill_value)

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

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Series.iter_group_items(*, axis)

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Series.iter_group_items(*, axis).apply(func, *, dtype, name)

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

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Series.iter_group_items(*, axis).apply_iter(func)

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

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Series.iter_group_items(*, axis).apply_iter_items(func)

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

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Series.iter_group_items(*, axis).apply_pool(func, *, dtype, name, max_workers, chunksize, use_threads)

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

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Series.iter_group_items(*, axis).map_all(mapping, *, dtype, name)

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

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Series.iter_group_items(*, axis).map_all_iter(mapping)

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

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Series.iter_group_items(*, axis).map_all_iter_items(mapping)

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

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Series.iter_group_items(*, axis).map_any(mapping, *, dtype, name)

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

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Series.iter_group_items(*, axis).map_any_iter(mapping)

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

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Series.iter_group_items(*, axis).map_any_iter_items(mapping)

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

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

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

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Series.iter_group_items(*, axis).map_fill_iter(mapping, *, fill_value)

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

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Series.iter_group_items(*, axis).map_fill_iter_items(mapping, *, fill_value)

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

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Series.iter_group_labels(depth_level)

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Series.iter_group_labels(depth_level).apply(func, *, dtype, name)

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

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Series.iter_group_labels(depth_level).apply_iter(func)

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

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Series.iter_group_labels(depth_level).apply_iter_items(func)

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

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Series.iter_group_labels(depth_level).apply_pool(func, *, dtype, name, max_workers, chunksize, use_threads)

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

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Series.iter_group_labels(depth_level).map_all(mapping, *, dtype, name)

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

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Series.iter_group_labels(depth_level).map_all_iter(mapping)

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

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Series.iter_group_labels(depth_level).map_all_iter_items(mapping)

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

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Series.iter_group_labels(depth_level).map_any(mapping, *, dtype, name)

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

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Series.iter_group_labels(depth_level).map_any_iter(mapping)

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

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Series.iter_group_labels(depth_level).map_any_iter_items(mapping)

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

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

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

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Series.iter_group_labels(depth_level).map_fill_iter(mapping, *, fill_value)

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

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Series.iter_group_labels(depth_level).map_fill_iter_items(mapping, *, fill_value)

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

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Series.iter_group_labels_items(depth_level)

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Series.iter_group_labels_items(depth_level).apply(func, *, dtype, name)

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

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Series.iter_group_labels_items(depth_level).apply_iter(func)

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

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Series.iter_group_labels_items(depth_level).apply_iter_items(func)

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

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Series.iter_group_labels_items(depth_level).apply_pool(func, *, dtype, name, max_workers, chunksize, use_threads)

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

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Series.iter_group_labels_items(depth_level).map_all(mapping, *, dtype, name)

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

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Series.iter_group_labels_items(depth_level).map_all_iter(mapping)

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

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Series.iter_group_labels_items(depth_level).map_all_iter_items(mapping)

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

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Series.iter_group_labels_items(depth_level).map_any(mapping, *, dtype, name)

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

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Series.iter_group_labels_items(depth_level).map_any_iter(mapping)

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

Detail

Series.iter_group_labels_items(depth_level).map_any_iter_items(mapping)

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

Detail

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

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

Detail

Series.iter_group_labels_items(depth_level).map_fill_iter(mapping, *, fill_value)

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

Detail

Series.iter_group_labels_items(depth_level).map_fill_iter_items(mapping, *, fill_value)

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

Detail

Series.iter_window(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment)

Detail

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.iter_window_array(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment)

Detail

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.iter_window_array_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment)

Detail

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.iter_window_items(*, size, axis, step, window_sized, window_func, window_valid, label_shift, start_shift, size_increment)

Detail

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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

Series.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…

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Operator Binary

Detail: Series: Operator Binary

Detail

Series.__add__(other)

Detail

Series.__and__(other)

Detail

Series.__eq__(other)

Detail

Series.__floordiv__(other)

Detail

Series.__ge__(other)

Detail

Series.__gt__(other)

Detail

Series.__le__(other)

Detail

Series.__lt__(other)

Detail

Series.__matmul__(other)

Detail

Series.__mod__(other)

Detail

Series.__mul__(other)

Detail

Series.__ne__(other)

Detail

Series.__or__(other)

Detail

Series.__pow__(other)

Detail

Series.__radd__(other)

Detail

Series.__rfloordiv__(other)

Detail

Series.__rmatmul__(other)

Detail

Series.__rmul__(other)

Detail

Series.__rshift__(other)

Detail

Series.__rsub__(other)

Detail

Series.__rtruediv__(other)

Detail

Series.__sub__(other)

Detail

Series.__truediv__(other)

Detail

Series.__xor__(other)

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Accessor Datetime

Detail: Series: Accessor Datetime

Detail

Series.via_dt.year

Return the year of each element.

Detail

Series.via_dt.month

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

Detail

Series.via_dt.day

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

Detail

Series.via_dt.weekday()

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

Detail

Series.via_dt.timetuple()

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

Detail

Series.via_dt.fromisoformat()

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

Detail

Series.via_dt.isoformat(sep, timespec)

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

Detail

Series.via_dt.strftime(format)

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

Detail

Series.via_dt.strptime(format)

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

Detail

Series.via_dt.strpdate(format)

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

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Accessor String

Detail: Series: Accessor String

Detail

Series.via_str.capitalize()

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

Detail

Series.via_str.center(width, fillchar)

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

Detail

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

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

Detail

Series.via_str.decode(encoding, errors)

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

Detail

Series.via_str.encode(encoding, errors)

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

Detail

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

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

Detail

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

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

Detail

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

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

Detail

Series.via_str.isalnum()

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

Detail

Series.via_str.isalpha()

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

Detail

Series.via_str.isdecimal()

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

Detail

Series.via_str.isdigit()

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

Detail

Series.via_str.islower()

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

Detail

Series.via_str.isnumeric()

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

Detail

Series.via_str.isspace()

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

Detail

Series.via_str.istitle()

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

Detail

Series.via_str.isupper()

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

Detail

Series.via_str.ljust(width, fillchar)

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

Detail

Series.via_str.len()

Return the length of the string.

Detail

Series.via_str.lower()

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

Detail

Series.via_str.lstrip(chars)

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

Detail

Series.via_str.partition(sep)

Partition each element around sep.

Detail

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

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

Detail

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

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

Detail

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

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

Detail

Series.via_str.rjust(width, fillchar)

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

Detail

Series.via_str.rpartition(sep)

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

Detail

Series.via_str.rsplit(sep, maxsplit)

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

Detail

Series.via_str.rstrip(chars)

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

Detail

Series.via_str.split(sep, maxsplit)

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

Detail

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

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

Detail

Series.via_str.strip(chars)

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

Detail

Series.via_str.swapcase()

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

Detail

Series.via_str.title()

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

Detail

Series.via_str.upper()

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

Detail

Series.via_str.zfill(width)

Return the string left-filled with zeros.

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Accessor Fill Value

Detail: Series: Accessor Fill Value

Detail

Series.via_fill_value(fill_value).via_T

Interface for using binary operators with one-dimensional sequences, where the o…

Detail

Series.via_fill_value(fill_value).__add__(other)

Detail

Series.via_fill_value(fill_value).__sub__(other)

Detail

Series.via_fill_value(fill_value).__mul__(other)

Detail

Series.via_fill_value(fill_value).__truediv__(other)

Detail

Series.via_fill_value(fill_value).__floordiv__(other)

Detail

Series.via_fill_value(fill_value).__mod__(other)

Detail

Series.via_fill_value(fill_value).__pow__(other)

Detail

Series.via_fill_value(fill_value).__lshift__(other)

Detail

Series.via_fill_value(fill_value).__rshift__(other)

Detail

Series.via_fill_value(fill_value).__and__(other)

Detail

Series.via_fill_value(fill_value).__xor__(other)

Detail

Series.via_fill_value(fill_value).__or__(other)

Detail

Series.via_fill_value(fill_value).__lt__(other)

Detail

Series.via_fill_value(fill_value).__le__(other)

Detail

Series.via_fill_value(fill_value).__eq__(other)

Detail

Series.via_fill_value(fill_value).__ne__(other)

Detail

Series.via_fill_value(fill_value).__gt__(other)

Detail

Series.via_fill_value(fill_value).__ge__(other)

Detail

Series.via_fill_value(fill_value).__radd__(other)

Detail

Series.via_fill_value(fill_value).__rsub__(other)

Detail

Series.via_fill_value(fill_value).__rmul__(other)

Detail

Series.via_fill_value(fill_value).__rtruediv__(other)

Detail

Series.via_fill_value(fill_value).__rfloordiv__(other)

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression

Series: Accessor Regular Expression

Detail: Series: Accessor Regular Expression

Detail

Series.via_re(pattern, flags).search(pos, endpos)

Scan through string looking for the first location where this regular expression…

Detail

Series.via_re(pattern, flags).match(pos, endpos)

If zero or more characters at the beginning of string match this regular express…

Detail

Series.via_re(pattern, flags).fullmatch(pos, endpos)

If the whole string matches this regular expression, return True, else False. No…

Detail

Series.via_re(pattern, flags).split(maxsplit)

Split string by the occurrences of pattern. If capturing parentheses are used in…

Detail

Series.via_re(pattern, flags).findall(pos, endpos)

Return all non-overlapping matches of pattern in string, as a tuple of strings….

Detail

Series.via_re(pattern, flags).sub(repl, count)

Return the string obtained by replacing the leftmost non-overlapping occurrences…

Detail

Series.via_re(pattern, flags).subn(repl, count)

Perform the same operation as sub(), but return a tuple (new_string, number_of_s…

Series: Constructor | Exporter | Attribute | Method | Dictionary-Like | Display | Assignment | Selector | Iterator | Operator Binary | Operator Unary | Accessor Datetime | Accessor String | Accessor Fill Value | Accessor Regular Expression