{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "#### **Title**: Box Element\n", "\n", "**Dependencies**: Plotly\n", "\n", "**Backends**: [Bokeh](../bokeh/Box.ipynb), [Matplotlib](../matplotlib/Box.ipynb), [Plotly](./Box.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", "hv.extension('plotly')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A ``Box`` is an annotation that takes a center x-position, a center y-position and a size:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "data = np.sin(np.mgrid[0:100,0:100][1]/10.0)\n", "data[np.arange(40, 60), np.arange(20, 40)] = -1\n", "data[np.arange(40, 50), np.arange(70, 80)] = -3 \n", "example = hv.Image(data) * hv.Box(-0.2, 0, 0.25 ) * hv.Box(-0, 0, (0.4,0.9) )\n", "example.opts(\n", " opts.Box(line_color='red', line_width=5), \n", " opts.Image(cmap='gray'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In addition to these arguments, it supports an optional ``aspect ratio``:\n", "\n", "By default, the size argument results in a square such as the small square shown above. Alternatively, the size can be given as the tuple ``(width, height)`` resulting in a rectangle. If you only supply a size value, you can still specify a rectangle 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": [ "data = np.sin(np.mgrid[0:100,0:100][1]/10.0)\n", "data[np.arange(30, 70), np.arange(30, 70)] = -3\n", "example = hv.Image(data) * hv.Box(-0, 0, 0.25, aspect=3, orientation=-np.pi/4)\n", "example.opts(\n", " opts.Box(line_color='purple', line_width=5), \n", " opts.Image(cmap='gray'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For full documentation and the available style and plot options, use ``hv.help(hv.Box).``" ] } ], "metadata": { "language_info": { "name": "python", "pygments_lexer": "ipython3" } }, "nbformat": 4, "nbformat_minor": 4 }