Series Accessor#

General methods and attributes#

`cols`(s, /[, to_list])	An API to gather `name` and `columns` to one.
`len`(s, /[, number, other])	Return the length of each element in the Series.
`getattr`(s, name, /, args, *kwargs)	Return the value of the named attribute of Series element.

`change_axis_type`(s, dtype[, axis])	Change the type of the axis.
`swap_index_values`(s, /)	Swap the index and values of the Series.
`to_datetime`(s, /, **kwargs)	Convert Series to datetime type.
`to_zh`(s, /, *[, locale, dictionary])	Simple conversion and localization between simplified and traditional Chinese.
`to_set`(s, /)	Return a `set` of the values.
`values_to_dict`(s, /[, unique, to_list, dropna])	Convert `index` and `values` to `dict`.

equal(s, /, other[, align])

Return a boolean Series containing the result of comparing with other.

groupby_index(s, /, **kwargs)

Group Series by its index.

`bin`(s, /, args, *kwargs)	Bin values into discrete intervals.
`jenks_bin`(s, /, bins, **kwargs)	Bin values into discrete intervals via “natural breaks” (Fisher-Jenks algorithm).
`jenks_breaks`(s, /, bins)	Compute “natural breaks” (Fisher-Jenks algorithm) on Series.
`error_report`(s, predicted, /[, ...])	Calculate absolute_error and relative_error of two columns.
`eval`(s, /, expr, **kwargs)	Evaluate a string describing operations on Series.
`textdistance`(s, /, other[, method, align])	Return a `Series` containing the text distance to aligned `other`.
`textdistance_matrix`(s, /[, other, method])	Returns a `DataFrame` containing the text distances matrix between in `s` and `other`.
`top_n`(s, /[, n, largest, keep])	Return the top n values.

`filter_in`(s, condition, /[, complement])	Filter `Series` contents.
`invert_or_not`(s, /[, invert])	Invert (~) the Series.
`query`(s, /, expr, **kwargs)	Query the columns of a Series with a boolean expression.
`set_unique_index`(s, /, **kwargs)	Set unique index via `reset_index()`.

`drop_inf`(s, /[, inf])	Remove `inf` values.
`drop_not_duplicates`(s, /[, keep])	Return duplicate Series values.
`dropna_index`(s, /[, how])	Return a new Series with missing index removed.

expand(s, /[, suffix, delimiter, flatten])

Transform each element of a list-like to a column.