Two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). Arithmetic operations

One-dimensional ndarray with axis labels (including time series). Labels need not be unique but must be a hashable type. The object supp

Immutable ndarray implementing an ordered, sliceable set. The basic object storing axis labels for all pandas objects. Parameters --

Represents a categorical variable in classic R / S-plus fashion `Categoricals` can only take on only a limited, and usually fixed, number

Immutable ndarray of datetime64 data, represented internally as int64, and which can be boxed to Timestamp objects that are subclasses of dat

Immutable ndarray holding ordinal values indicating regular periods in time such as particular years, quarters, months, etc. Index keys

An ExtensionArray for storing sparse data. .. versionchanged:: 0.24.0 Implements the ExtensionArray interface. Parameters -

Immutable ndarray of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects Parameters -----

A multi-level, or hierarchical, index object for pandas objects. Parameters ---------- levels : sequence of arrays The uniqu

Immutable Index implementing an ordered, sliceable set. CategoricalIndex represents a sparsely populated Index with an underlying Categorical

Represents wide format panel data, stored as 3-dimensional array. .. deprecated:: 0.20.0 The recommended way to represent 3-D data a

Helper IO class. Writes encode strings to bytes if needed, reads return bytes. This makes it easier to emulate files opened in binary mode

Type for categorical data with the categories and orderedness .. versionchanged:: 0.21.0 Parameters ---------- categories : seq

Context manager to temporarily set options in the `with` statement context. You need to invoke as ``option_context(pat, val, [(pat, val), ..

Dtype for data stored in :class:`SparseArray`. This dtype implements the pandas ExtensionDtype interface. .. versionadded:: 0.24.0

Immutable Index implementing a monotonic integer range. RangeIndex is a memory-saving special case of Int64Index limited to representing

Context manager and decorator doing much the same as ``warnings.catch_warnings``. However, it also provides a filter mechanism to work a

Data structure for labeled, sparse floating point data Parameters ---------- data : {array-like, Series, SparseSeries, dict} .. v

DataFrame containing sparse floating point data in the form of SparseSeries objects Parameters ---------- data : same types as c

DateOffset subclass representing possibly n business days. .. versionadded:: 0.16.1

Raise this error instead of NotImplementedError for abstract methods while keeping compatibility with Python 2 and Python 3.

matrix(data, dtype=None, copy=True) .. note:: It is no longer recommended to use this class, even for linear algebra. Instead

Pandas ExtensionArray for tz-naive or tz-aware datetime data. .. versionadded:: 0.24.0 .. warning:: DatetimeArray is currently

A Interval duck-typed class, suitable for holding an interval THIS IS NOT A REAL NUMPY DTYPE

A Period duck-typed class, suitable for holding a period with freq dtype. THIS IS NOT A REAL NUMPY DTYPE, but essentially a sub-class of np.

DateOffset increments between business Quarter dates. startingMonth = 1 corresponds to dates like 1/31/2007, 4/30/2007, ... startingMont

Standard kind of date increment used for a date range. Works exactly like relativedelta in terms of the keyword args you pass in, use of

DateOffset increments between business Quarter dates. startingMonth = 1 corresponds to dates like 1/31/2007, 4/30/2007, ... startingMont

A np.dtype duck-typed class, suitable for holding a custom datetime with tz dtype. THIS IS NOT A REAL NUMPY DTYPE, but essentially a sub

Class for parsing tabular excel sheets into DataFrame objects. Uses xlrd. See read_excel for more documentation Parameters ---------

Dict-like IO interface for storing pandas objects in PyTables either Fixed or Table format. Parameters ---------- path : string

A one-dimensional polynomial class. A convenience class, used to encapsulate "natural" operations on polynomials so that said operations

Pandas ExtensionArray for storing Period data. Users should use :func:`period_array` to create new instances. Parameters ----------

Pandas ExtensionArray for timedelta data. .. versionadded:: 0.24.0 .. warning:: TimedeltaArray is currently experimental, and i

Weekly offset. Parameters ---------- weekday : int, default None Always generate specific day of week. 0 for Monday

Error raised when problems arise during merging due to problems with input data. Subclass of `ValueError`.

A pandas ExtensionArray for NumPy data. .. versionadded :: 0.24.0 This is mostly for internal compatibility, and is not especially

DateOffset subclass representing possibly n custom business days. .. versionadded:: 0.18.1

ExtType represents ext type in msgpack.

Defines masked version of unary operations, where invalid values are pre-masked. Parameters ---------- mufunc : callable

vectorize(pyfunc, otypes=None, doc=None, excluded=None, cache=False, signature=None) Generalized function class. Define a

Define functions from existing MaskedArray methods. Parameters ---------- methodname : str Name of the method to transform.

Parse and compare numpy version strings. NumPy has the following versioning scheme (numbers given are examples; they can be > 9) in principle

Core internal data structure to implement DataFrame, Series, Panel, etc. Manage a bunch of labeled 2D mixed-type ndarrays. Essentially it's

A Grouper allows the user to specify a groupby instruction for a target object This specification will select a column via the key param

Class that defines a holiday with start/end dates and rules for observance.

Class for writing DataFrame objects into excel sheets, default is to use xlwt for xls, openpyxl for xlsx. See DataFrame.to_excel for typical

DateOffset of one month end.

Define masked version of binary operations, where invalid values are pre-masked. Parameters ---------- mbfunc : function

Create a memory-map to an array stored in a *binary* file on disk. Memory-mapped files are used for accessing small segments of large files o

Container that doesn't allow setting item *but* because it's technically non-hashable, will be used for lookups, appropriately, etc.

Custom groupby class for time-interval grouping. Parameters ---------- freq : pandas date offset or offset alias for identifying bin

DateOffset increments between calendar year ends.

Two DateOffset's per month repeating on the first day of the month and day_of_month. .. versionadded:: 0.19.0 Parameters ------

Two DateOffset's per month repeating on the last day of the month and day_of_month. .. versionadded:: 0.19.0 Parameters -------

DateOffset increments between calendar year begin dates.

finfo(dtype) Machine limits for floating point types. Attributes ---------- bits : int The number of bits occupied by t

an index column description class Parameters ---------- axis : axis which I reference values : the ndarray like c

Generic Python-exception-derived object raised by linalg functions. General purpose exception class, derived from Python's exception.Excepti

Object to split a string at a given delimiter or at given places. Parameters ---------- delimiter : str, int, or sequence of ints, o

Helps style a DataFrame or Series according to the data with HTML and CSS. Parameters ---------- data : Series or DataFrame prec

Factory class for function transforming a string into another object (int, float). After initialization, an instance can be called to tr

DateOffset increments between business EOM dates.

DateOffset for the Easter holiday using logic defined in dateutil. Right now uses the revised method which is valid in years 1583-4099.

Fake a 'void' object to use for masked array with structured dtypes.

Describes 52-53 week fiscal year. This is also known as a 4-4-5 calendar. It is used by companies that desire that their fiscal year alw

Object to validate a list of strings to use as field names. The strings are stripped of any non alphanumeric character, and spaces are r

Pytest test runner. This class is made available in ``numpy.testing``, and a test function is typically added to a package's __init__.py

Describes monthly dates like "the Tuesday of the 2nd week of each month". Parameters ---------- n : int week : {0, 1, 2, 3, ...}

Describes monthly dates in last week of month like "the last Tuesday of each month". Parameters ---------- n : int, default 1

Exception for pandas.options, backwards compatible with KeyError checks

manage a single block with

errstate(**kwargs) Context manager for floating-point error handling. Using an instance of `errstate` as a context manager allows state

A power series class. The Polynomial class provides the standard Python numerical methods '+', '-', '*', '//', '%', 'divmod', '**', and '()'