{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# PySketcher Reference Notebook" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib widget" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from pysketcher import *" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "from ipywidgets import Dropdown,AppLayout,Output,VBox" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "from IPython.display import HTML, SVG, display, clear_output" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "selector = Dropdown(\n", " options=[('Circle', 1), ('Rectangle', 2), ('Line', 3)],\n", " value=2,\n", " description='Number:',\n", ")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "drawing_tool.set_coordinate_system(xmin=-10, xmax=10,\n", " ymin=-10, ymax=10,\n", " axis=True)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "output = Output()\n", "explain = Output()\n", "applayout = AppLayout(\n", " center=output,\n", " footer=VBox([selector,explain]),\n", " pane_heights=[0, 6, 1]\n", ")\n", "with output:\n", " clear_output()\n", " display(drawing_tool.mpl.gcf().canvas)\n", "def selector_eventhandler(change):\n", " #print(change.new)\n", " drawing_tool.erase()\n", " if change.new == 1:\n", " circle = Circle(point(0,0),5)\n", " circle.draw()\n", " with explain:\n", " clear_output()\n", " display(f\"Circle(point(0,0),5)\")\n", " elif change.new == 2:\n", " L = 8\n", " h = 5\n", " p = point(-(L/2),-(h/2))\n", " rectangle = Rectangle(p,L,h)\n", " rectangle.draw()\n", " with explain:\n", " clear_output()\n", " display(f\"L={L},h={h}, p=point(-(L/2),-(h/2)), Rectangle(p,L,h)\")\n", " elif change.new == 3:\n", " A = point(-5,-5)\n", " B = point(5,5)\n", " line = Line(A,B)\n", " line.draw()\n", " with explain:\n", " clear_output()\n", " display(f\"A = point(-5,-5), B = point(5,5), line = Line(A,B) \")\n", " \n", " drawing_tool.display()\n", " \n", "selector.observe(selector_eventhandler, names='value')" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7576850f96bc461a98f4acd7fcae2419", "version_major": 2, "version_minor": 0 }, "text/plain": [ "AppLayout(children=(VBox(children=(Dropdown(description='Number:', index=1, options=(('Circle', 1), ('Rectangl…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "applayout" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", " \n", " \n", " \n", " \n", " 2020-08-03T19:58:33.884281\n", " image/svg+xml\n", " \n", " \n", " Matplotlib v3.3.0, https://matplotlib.org/\n", " \n", " 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\n", "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sketch2PNG()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "head = \"\"\"\\\n", "libraries: [\"from math import tan, radians, sin, cos\",\"from pysketcher import *\"]\n", "\"\"\"\n", "myfig={}\n", "sketchParse(head,myfig)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "line=\"\"\"\n", "A: point(-5,-5)\n", "B: point(5,5)\n", "line: Line(A,B)\n", "\"\"\"" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "drawing_tool.erase()\n", "sketchParse(line,myfig)\n", "# replace 'object' by the actual one\n", "d = myfig['line'].draw() \n", "drawing_tool.display()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 4 }