118 lines
2.1 KiB
Plaintext
118 lines
2.1 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "84886528",
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"metadata": {},
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"outputs": [],
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"source": [
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"%matplotlib inline\n",
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"\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b8b62e7c",
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"metadata": {},
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"source": [
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"Vectorize this code"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "30cd956c",
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"metadata": {},
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"outputs": [],
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"source": [
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"size = 101\n",
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"center = size // 2\n",
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"radius = 20\n",
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"\n",
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"circle = np.zeros((size, size), dtype=float)\n",
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"for i in range(size):\n",
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" for j in range(size):\n",
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" distance_from_center = np.sqrt((i - center)**2 + (j - center)**2)\n",
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" if distance_from_center <= radius:\n",
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" circle[i, j] = 1"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "698050fb",
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.imshow(circle)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a6ac0138",
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"metadata": {},
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"source": [
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"# Solution"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d89a3e0d",
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"metadata": {},
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"outputs": [],
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"source": [
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"# type your solution here"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ea311dfc",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c62096b1",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a1469dfa",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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