{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Interactive shape picker\n\nThis demo shows how to let the user select a certain number of shapes in a plot.\n\nThe shapes are then returned as list of shapes. This list can also be assigned\nto the ``geometricShapes`` property of any other plot to display them in another plot.\n\nThe ``plotItem.drawAndPickElements`` method is used for this demo. It accepts\nany kind of shape (``plotItem.Primitive`` ...) besides ``plotItem.PrimitiveMultiPointPick``.\n\nUse instead ``PrimitivePoint`` or use the similar method ``plotItem.pickPoints``\nif the user should select a arbitrary number of single points.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "from itom import dataObject\nfrom itom import plot\nfrom itom import shape\nfrom itom import ui\nfrom itom import plotItem\nfrom typing import Tuple\n\nelementList = [\n (plotItem.PrimitivePoint, 5),\n (plotItem.PrimitiveCircle, 3),\n (plotItem.PrimitivePolygon, 2),\n (plotItem.PrimitiveLine, 1)\n ]\n\nfor shapeType, numShapes in elementList:\n \n img = dataObject.zeros([100, 150], \"float32\")\n \n for r in range(img.shape[0]):\n img[r, :] = (r % 20) * 0.02\n \n [i, h] = plot(img)\n \n try:\n polygons: Tuple[shape] = h.drawAndPickElements(shapeType, numShapes)\n except RuntimeError as ex:\n print(str(ex))\n ui.msgWarning(\"Abort\", \"The user interaction has been aborted\")\n break\n else:\n print(\"The following shapes have been selected:\\n--------------------\")\n for p in polygons:\n print(str(p))\n print(\"---------------------\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 0 }