Cartesian Curve Plot/Circle.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8db192a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sympy import plot_implicit, symbols, Eq\n",
 
    "x,y = symbols('x y')\n",
    "p = plot_implicit(Eq(x**2+y**2,4),(x,-4,4),(y,-4,4),title = 'Circle: x^2 + y^2 = a^2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b810656",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}