# Using the shapes layer¶

In this document, you will learn about the napari Shapes layer, including how to display and edit shapes like rectangle, ellipses, polygons, paths, and lines. You will also understand how to add a shapes layer and edit it from the GUI and from the console.

## When to use the shapes layer¶

The points layer allows you to display a list of an NxD arrays, where each array corresponds to one shape, specified by N points in D coordinates. You can adjust the position, size, face color, edge color, and opacity of all the shapes independently, both programmatically and from the GUI.

## A simple example¶

You can create a new viewer and add a list of shapes in one go using the napari.view_shapes method, or if you already have an existing viewer, you can add shapes to it using viewer.add_shapes. The api of both methods is the same. In these examples we’ll mainly use add_shapes to overlay shapes onto on an existing image.

In this example, we will overlay some shapes on the image of a photographer:

import napari
import numpy as np
from skimage import data

# create the list of polygons
triangle = np.array([[11, 13], [111, 113], [22, 246]])

person = np.array([[505, 60], [402, 71], [383, 42], [251, 95], [212, 59],
[131, 137], [126, 187], [191, 204], [171, 248], [211, 260],
[273, 243], [264, 225], [430, 173], [512, 160]])

building = np.array([[310, 382], [229, 381], [209, 401], [221, 411],
[258, 411], [300, 412], [306, 435], [268, 434],
[265, 454], [298, 461], [307, 461], [307, 507],
[349, 510], [352, 369], [330, 366], [330, 366]])

polygons = [triangle, person, building]

viewer = napari.view_image(data.camera(), name='photographer')

edge_color='coral', face_color='royalblue')

from napari.utils import nbscreenshot

nbscreenshot(viewer, alt_text="Shapes overlaid on image")


## Arguments of view_shapes and add_shapes¶

view_shapes() and add_shapes() accept the same layer-creation parameters.

help(napari.view_shapes)

Help on function view_shapes in module napari.view_layers:

view_shapes(data=None, *, ndim=None, features=None, properties=None, property_choices=None, text=None, shape_type='rectangle', edge_width=1, edge_color='#777777', edge_color_cycle=None, edge_colormap='viridis', edge_contrast_limits=None, face_color='white', face_color_cycle=None, face_colormap='viridis', face_contrast_limits=None, z_index=0, name=None, metadata=None, scale=None, translate=None, rotate=None, shear=None, affine=None, opacity=0.7, blending='translucent', visible=True, cache=True, experimental_clipping_planes=None, title='napari', ndisplay=2, order=(), axis_labels=(), show=True) -> napari.viewer.Viewer
Create a viewer and add a shapes layer.

Parameters
----------
data : list or array
List of shape data, where each element is an (N, D) array of the
N vertices of a shape in D dimensions. Can be an 3-dimensional
array if each shape has the same number of vertices.
ndim : int
Number of dimensions for shapes. When data is not None, ndim must be D.
An empty shapes layer can be instantiated with arbitrary ndim.
features : dict[str, array-like] or Dataframe-like
Features table where each row corresponds to a shape and each column
is a feature.
properties : dict {str: array (N,)}, DataFrame
Properties for each shape. Each property should be an array of length N,
where N is the number of shapes.
property_choices : dict {str: array (N,)}
possible values for each property.
text : str, dict
Text to be displayed with the shapes. If text is set to a key in properties,
the value of that property will be displayed. Multiple properties can be
composed using f-string-like syntax (e.g., '{property_1}, {float_property:.2f}).
A dictionary can be provided with keyword arguments to set the text values
and display properties. See TextManager.__init__() for the valid keyword arguments.
shape_type : string or list
String of shape shape_type, must be one of "{'line', 'rectangle',
'ellipse', 'path', 'polygon'}". If a list is supplied it must be
the same length as the length of data and each element will be
applied to each shape otherwise the same value will be used for all
shapes.
edge_width : float or list
Thickness of lines and edges. If a list is supplied it must be the
same length as the length of data and each element will be
applied to each shape otherwise the same value will be used for all
shapes.
edge_color : str, array-like
If string can be any color name recognized by vispy or hex value if
starting with #. If array-like must be 1-dimensional array with 3
or 4 elements. If a list is supplied it must be the same length as
the length of data and each element will be applied to each shape
otherwise the same value will be used for all shapes.
edge_color_cycle : np.ndarray, list
Cycle of colors (provided as string name, RGB, or RGBA) to map to edge_color if a
categorical attribute is used color the vectors.
edge_colormap : str, napari.utils.Colormap
Colormap to set edge_color if a continuous attribute is used to set face_color.
edge_contrast_limits : None, (float, float)
clims for mapping the property to a color map. These are the min and max value
of the specified property that are mapped to 0 and 1, respectively.
The default value is None. If set the none, the clims will be set to
(property.min(), property.max())
face_color : str, array-like
If string can be any color name recognized by vispy or hex value if
starting with #. If array-like must be 1-dimensional array with 3
or 4 elements. If a list is supplied it must be the same length as
the length of data and each element will be applied to each shape
otherwise the same value will be used for all shapes.
face_color_cycle : np.ndarray, list
Cycle of colors (provided as string name, RGB, or RGBA) to map to face_color if a
categorical attribute is used color the vectors.
face_colormap : str, napari.utils.Colormap
Colormap to set face_color if a continuous attribute is used to set face_color.
face_contrast_limits : None, (float, float)
clims for mapping the property to a color map. These are the min and max value
of the specified property that are mapped to 0 and 1, respectively.
The default value is None. If set the none, the clims will be set to
(property.min(), property.max())
z_index : int or list
Specifier of z order priority. Shapes with higher z order are
displayed ontop of others. If a list is supplied it must be the
same length as the length of data and each element will be
applied to each shape otherwise the same value will be used for all
shapes.
name : str
Name of the layer.
scale : tuple of float
Scale factors for the layer.
translate : tuple of float
Translation values for the layer.
rotate : float, 3-tuple of float, or n-D array.
If a float convert into a 2D rotation matrix using that value as an
angle. If 3-tuple convert into a 3D rotation matrix, using a yaw,
pitch, roll convention. Otherwise assume an nD rotation. Angles are
assumed to be in degrees. They can be converted from radians with
np.degrees if needed.
shear : 1-D array or n-D array
Either a vector of upper triangular values, or an nD shear matrix with
ones along the main diagonal.
affine : n-D array or napari.utils.transforms.Affine
(N+1, N+1) affine transformation matrix in homogeneous coordinates.
The first (N, N) entries correspond to a linear transform and
the final column is a length N translation vector and a 1 or a napari
Affine transform object. Applied as an extra transform on top of the
provided scale, rotate, and shear values.
opacity : float
Opacity of the layer visual, between 0.0 and 1.0.
blending : str
One of a list of preset blending modes that determines how RGB and
alpha values of the layer visual get mixed. Allowed values are
visible : bool
Whether the layer visual is currently being displayed.
cache : bool
Whether slices of out-of-core datasets should be cached upon retrieval.
Currently, this only applies to dask arrays.
title : string, optional
The title of the viewer window. by default 'napari'.
ndisplay : {2, 3}, optional
Number of displayed dimensions. by default 2.
order : tuple of int, optional
Order in which dimensions are displayed where the last two or last
three dimensions correspond to row x column or plane x row x column if
ndisplay is 2 or 3. by default None
axis_labels : list of str, optional
Dimension names. by default they are labeled with sequential numbers
show : bool, optional
Whether to show the viewer after instantiation. by default True.

Returns
-------
viewer : :class:napari.Viewer
The newly-created viewer.


## Shapes data¶

The input data to the shapes layer must be a list of NxD numpy array, with each array containing the coordinates of the N vertices in D dimensions that make up the shape. The ordering of these dimensions is the same as the ordering of the dimensions for image layers. This list of arrays is always accessible through the layer.data property and will grow or shrink as new shapes are either added or deleted. By storing data as a list of arrays it is possible for each shape to have a different number of vertices in it. This is especially useful when drawing polygons or paths.

Right now the shapes layer supports 5 types of shapes, Lines, Rectangles, Ellipses, Polygons, and Paths. When adding new data can set the shape type through the shape_type keyword argument, as either a single shape type if all the shapes to be added have the same type or as a list of shape types if some of the shapes have different types. The actual shape types of all the shapes is accessible through the layer.shape_types property. Selecting different shape creation tools will cause shapes of the different types to be added.

Lines consist of two vertices representing the end points of the line. The line creation tool can be selected from the layer control panel or by pressing the L key when the shapes layer is selected. When adding a new line the first click will coordinates of the first endpoint and the second click will mark the coordinates of the second endpoint. You’ll then be able to add another line.

Rectangles can be added using two vertices representing the corners of the rectangle for axis aligned rectangle, or using four corners so that non-axis aligned rectangle can be represented too. Internally we use the four vertex representation so we can always support rotated rectangles. The rectangle creation tool can be selected from the layer control panel or by pressing the R key when the shapes layer is selected. When adding a rectangle you must click and drag the rectangle to have the desired shape. When you release the mouse the rectangle will be completed and you’ll then be able to add another one. If you just make a single click then a rectangle of default size will be created centered on that click.

Ellipses can be added using either two vectors, one representing the center position of the ellipse and the other representing the radii of the ellipse in all dimensions for an axis aligned ellipse, or by using the four corners of the ellipse bounding box for a non-axis aligned ellipse. Internally we use the four vertex representation so we can always support rotated ellipses. The ellipse creation tool can be selected from the layer control panel or by pressing the E key when the shapes layer is selected. When adding an ellipse you must click and drag the ellipse to have the desired shape. When you release the mouse the ellipse will be completed and you’ll then be able to add another one. If you just make a single click then an ellipse of default size will be created centered on that click.

Polygons can be added using an array of N vertices. Polygons are closed by default, and so you don’t also need to include the first point at the end of the array. The order of the vertices will determine the triangulation of the polygon, which can be non-convex, but cannot have holes. The polygon creation tool can be selected from the layer control panel or by pressing the P key when the shapes layer is selected. When adding a polygon each click will add a vertex at the clicked location. To finish drawing a polygon you must click the escape key, which will add a final vertex at the current mouse position and complete the polygon. You’ll then be able to start adding another one.

Paths are like polygons but are not closed or filled in. They can also be added using an array of N vertices. The path creation tool can be selected from the layer control panel or by pressing the T key when the shapes layer is selected. When adding a path each click will add a vertex at the clicked location. To finish drawing a path you must click the escape key, which will add a final vertex at the current mouse position and complete the path. You’ll then be able to start adding another one.

When using the shapes addition or editing tools the pan and zoom functionality of the viewer canvas is disabled and you can edit the layer. You can temporarily re-enable pan and zoom by pressing and holding the spacebar. This feature can be useful if you want to move around the shapes layer as you edit it.

You can add new shapes to an existing Shapes layer programmatically by using the add method, which allows you to pass in a shape_type list when you have mixed shape data.

import napari
import numpy as np
from skimage import data

viewer = napari.view_image(data.camera(), name='photographer')

# create a triangle
triangle = np.array([[11, 13], [111, 113], [22, 246]])

# create an ellipse
ellipse = np.array([[59, 222], [110, 289], [170, 243], [119, 176]])

# put both shapes in a list
mixed_shapes = [triangle, ellipse]

# add an empty shapes layer

# add mixed shapes using the add method

from napari.utils import nbscreenshot