An Options object holds a collection of keyword options. In addition, Options support (optional) keyword validation as well as infinite i

Dimension objects are used to specify some important general features that may be associated with a collection of values. For instance,

Columns provides a general baseclass for column based Element types that supports a range of data formats. Currently numpy arrays are su

A HoloMap can hold any number of DataLayers indexed by a list of dimension values. It also has a number of properties, which can find the

Image is the atomic unit as which 2D data is stored, along with its bounds object. The input data may be a numpy.matrix object or a two-d

A simple container class that specifies cyclic options. A typical example would be to cycle the curve colors in an Overlay composed of an

A rectangular bounding box defined either by two points forming an axis-aligned rectangle (or simply a radius for a square).

A Layout is an AttrTree with ViewableElement objects as leaf values. Unlike AttrTree, a Layout supports a rich display, displaying leaf i

Element is the baseclass for all ViewableElement types, with an x- and y-dimension. Subclasses should define the data storage in the cons

An MultiDimensionalMapping is a Dimensioned mapping (like a dictionary or array) that uses fixed-length multidimensional keys. This behav

A subclass of AttrTree that is used to define the inheritance relationships between a collection of Options objects. Each node of the tre

Curve is a simple Chart Element providing 1D indexing along the x-axis.

A AdjointLayout provides a convenient container to lay out a primary plot with some additional supplemental plots, e.g. an image in a Ima

Context manager to allow creating NdMapping types without performing the usual item_checks, providing significant speedups when there are

Histogram contains a number of bins, which are defined by the upper and lower bounds of their edges and the computed bin values.

Dimensioned is a base class that allows the data contents of a class to be associated with dimensions. The contents associated with dimen

An Overlay consists of multiple Views (potentially of heterogeneous type) presented one on top each other with a particular z-ordering.

Axis-aligned rectangle class. Defines the smallest axis-aligned rectangle that encloses a set of points. Usage: aar = AARectangle(

A file archive stores files on disk, either unpacked in a directory or in an archive format (e.g. a zip file).

Collator is an NdMapping type which can merge any number of HoloViews components with whatever level of nesting by inserting the Collator

Proxy that allows dynamic selection of a plotting class based on a function of the plotted object. Behaves like a Plot class and presents

NdMapping supports the same indexing semantics as MultiDimensionalMapping but also supports slicing semantics. Slicing semantics on an N

An NdOverlay allows a group of NdOverlay to be overlaid together. NdOverlay can be indexed out of an overlay and an overlay is an iterable th

The Path Element contains a list of Paths stored as Nx2 numpy arrays. The data may be supplied in one of the following ways: 1) A list o

A ViewRef object is a Reference to a dataview object in an Attrtree that may not exist when initialized. This makes it possible to schedu

Table is an NdElement type, which gets displayed in a tabular format and is convertible to most other Element types.

Context manager to allow creating NdMapping types without performing the usual sorting, providing significant speedups when there are a l

Contours is a type of Path that is also associated with a value (the contour level).

An NdElement is an Element that stores the contained data as an NdMapping. In addition to the usual multi-dimensional keys of NdMappings,

Raster is a basic 2D element type for presenting either numpy or dask arrays as two dimensional raster images. Arrays with a shape of (N

Scatter is a Element2D type which gets displayed as a number of disconnected points.

Bars is an Element type, representing a number of stacked and grouped bars, depending the dimensionality of the key and value dimensions.

Grids are distinct from Layouts as they ensure all contained elements to be of the same type. Unlike Layouts, which have integer keys, Gr

Allows sets of points to be positioned over a sheet coordinate system. Each points may optionally be associated with a chosen numeric val

Surface Element represents a 3D surface in space. The data should be supplied as a dense NxM matrix.

An arbitrary axis-aligned bounding rectangle defined by the (left, bottom, right, top) coordinate positions. If supplied a single real n

Draw a centered box of a given width at the given position with the specified aspect ratio (if any).

A generic importer that supports any arbitrary de-serializer.

Distribution Views provide a container for data to be visualized as a one-dimensional distribution. The data should be supplied as a simp

Draw an axis-aligned ellipse at the specified x,y position with the given width and aspect ratio. By default draws a circle (aspect=1).

GridMatrix is container type for heterogeneous Element types laid out in a grid. Unlike a GridSpace the axes of the Grid must not represe

HeatMap is an atomic Element used to visualize two dimensional parameter spaces. It supports sparse or non-linear spaces, dynamically ups

A tabular element type to allow convenient visualization of either a standard Python dictionary, an OrderedDict or a list of tuples (i.e.

NdLayout is a UniformNdMapping providing an n-dimensional data structure to display the contained Elements and containers in a layout. Us

Custom exception raised when there is an attempt to apply invalid options. Stores the necessary information to construct a more readable

The recommended pickler for serializing HoloViews object to a .hvz file (a simple zip archive of pickle files). In addition to the functi

A generic exporter that supports any arbitrary serializer

The inverse of Pickler used to load the .hvz file format which is simply a zip archive of pickle objects. Unlike a regular pickle file,

A VectorField contains is a collection of vectors where each vector has an associated position in sheet coordinates. The constructor of

LayoutPlot allows placing up to three Views in a number of predefined and fixed layouts, which are defined by the layout_dict class attri

An Analyze is a type of Collect that updates an Attrtree with the results of a ElementOperation. Analyze takes a ViewRef object as input

An Collect takes an object and corresponding hook and when called with an Layout, updates it with the output of the hook (given the objec

A Compositor is a way of specifying an operation to be automatically applied to Overlays that match a specified pattern upon display. An

FileArchive that can automatically capture notebook data via the display hooks and automatically adds a notebook HTML snapshot to the arc

OverlayPlot supports compositors processing of Overlays across maps.

A simple text progress bar suitable for both the IPython notebook and the IPython interactive prompt. ProgressBars are automatically nes

An RGB element is a Image containing channel data for the the red, green, blue and (optionally) the alpha channels. The values of each ch

Represents a slice of a SheetCoordinateSystem; i.e., an array specifying the row and column start and end points for a submatrix of the S

An nbconvert preprocessor that substitutes one set of HTML data output for another, adding annotation to the output as required. The con

TableConversion is a very simple container object which can be given an existing Table and provides methods to convert the Table into mos

TimeSeries is a container for any set of curves, which the Seaborn interface combines into a confidence interval, error bar or overlaid p

CustomCommSocket provides communication between the IPython kernel and a matplotlib canvas element in the notebook. A CustomCommSocket is

Returns a Histogram of the input element data, binned into num_bins over the bin_range (if specified) along the specified dimension.

Generic ElementOperation to transform an input Image or RGBA element into an output Image. The transformation is defined by the supplied

An Annotation is a special type of element that is designed to be overlaid on top of any arbitrary 2D element. Annotations have neither k

AnnotationPlot handles the display of all annotation elements.

An Archive is a means to collect and store a collection of HoloViews objects in any number of different ways. Examples of possible archiv

Test of the ArrayColumns interface.

Draw an arrow to the given xy position with optional text at distance 'points' away. The direction of the arrow may be specified as well

Draw an arrow using the information supplied to the Arrow annotation

A dictionary type object that supports attribute access (e.g. for IPython tab completion).

An AttrTree offers convenient, multi-level attribute access for collections of objects. AttrTree objects may also be combined together us

A BaseShape is a Path that can be succinctly expressed by a small number of parameters instead of a full path specification. For instance

This tests the ComparisonTestCase class which is an important component of other tests.

Bivariate Views are containers for two dimensional data, which is to be visualized as a kernel density estimate. The data should be suppl

Bivariate plot visualizes two-dimensional kernel density estimates using the Seaborn kdeplot function. Additionally, by enabling the join

Wraps an existing HoloViews matplotlib plot, renders it as an image and displays it as a HoloViews object.

Wraps an existing HoloViews matplotlib plot and converts it to bokeh.

Plotting baseclass for the Bokeh backends, implementing the basic plotting interface for Bokeh based plots.

Similar to BoundingBox, but the region is the ellipse inscribed within the rectangle.

Abstract bounding region class, for any portion of a 2D plane. Only subclasses can be instantiated directly.

Parameter whose value can be any BoundingRegion instance, enclosing a region in a 2D plane.

The data held within Chart is a numpy array of shape (N, D), where N is the number of samples and D the number of dimensions. Chart Eleme