{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "#### **Title**: Ellipse Element\n", "\n", "**Dependencies**: Plotly\n", "\n", "**Backends**: [Bokeh](../bokeh/Ellipse.ipynb), [Matplotlib](./Ellipse.ipynb), [Plotly](../plotly/Ellipse.ipynb)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import holoviews as hv\n", "from holoviews import opts\n", "\n", "hv.extension('matplotlib')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "An ``Ellipse`` is an annotation that takes a center x-position, a center y-position, a size:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "opts.defaults(opts.Ellipse(linewidth=6))\n", "\n", "# Generate some data\n", "c1 = np.random.normal(loc=2, scale=0.2, size=(200,200))\n", "c2x = np.random.normal(loc=-2, scale=0.6, size=200)\n", "c2y = np.random.normal(loc=-2, scale=0.1, size=200)\n", "c3 = np.random.normal(loc=0, scale=1.5, size=(400,400))\n", "# Create an overlay of points and ellipses\n", "clusters = hv.Points(c1) * hv.Points((c2x, c2y)) * hv.Points(c3)\n", "clusters * hv.Ellipse(2,2, 2) * hv.Ellipse(-2,-2, (4,2)) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "By default, the size is just a diameter, resulting in a circle such as the blue circle above. Alternatively, the size can be given as the tuple ``(width, height)`` as shown for the red ellipse above. If you only supply a diameter, you can still specify an ellipse by specifying an optional aspect value. In addition, you can also set the orientation (in radians, rotating anticlockwise):" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "clusters = hv.Points(c1) * hv.Points((c2x, c2y)) * hv.Points(c3)\n", "clusters * hv.Ellipse(0,0, 4, orientation=np.pi/5, aspect=2) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For full documentation and the available style and plot options, use ``hv.help(hv.Ellipse).``" ] } ], "metadata": { "language_info": { "name": "python", "pygments_lexer": "ipython3" } }, "nbformat": 4, "nbformat_minor": 4 }