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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "6975250a-539e-40bd-ac35-4204ff4e3181",
"metadata": {},
"outputs": [],
"source": [
"# program to counter letter occurances in a string, or a word\n",
"# methods modified from \n",
"# https://www.geeksforgeeks.org/python-program-to-find-occurrence-to-each-character-in-given-string/"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "acee5120-ae82-4a9f-bbfb-14148e17d4ef",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"tulip is composed of these letters and occurances :\n",
" {'u': 1, 't': 1, 'i': 1, 'p': 1, 'l': 1}\n",
"pulpit is composed of these letters and occurances :\n",
" {'u': 1, 't': 1, 'i': 1, 'p': 2, 'l': 1}\n"
]
}
],
"source": [
"# 法一\n",
"def set_counter(inp_str):\n",
" # using set() + count() to get count\n",
" # of each element in string\n",
" out = {x : inp_str.count(x) for x in set(inp_str )}\n",
" # printing result\n",
" print (\"{} is composed of these letters and occurances :\\n \".format(inp_str)+ str(out))\n",
"\n",
"set_counter(\"tulip\")\n",
"set_counter(\"pulpit\")\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "0bf4971c-7490-4dbf-910e-0502d9593a17",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"tulip composed of these letters and occurances : \n",
"{'t': 1, 'u': 1, 'l': 1, 'i': 1, 'p': 1}\n",
"pulpit composed of these letters and occurances : \n",
"{'p': 2, 'u': 1, 'l': 1, 'i': 1, 't': 1}\n"
]
}
],
"source": [
"# 法二\n",
"# initializing string\n",
"def freq_dict(inp_str):\n",
" # frequency dictionary\n",
" freq = {}\n",
" \n",
" for ele in inp_str:\n",
" if ele in freq:\n",
" freq[ele] += 1\n",
" else:\n",
" freq[ele] = 1\n",
" # printing result\n",
" print (\"{} composed of these letters and occurances : \\n\".format(inp_str)+ str(freq))\n",
"\n",
"freq_dict(\"tulip\")\n",
"freq_dict(\"pulpit\")\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "a2ce38d4-9407-4e05-a82a-e38667c18367",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"tulip is composed of these letters and occurances :\n",
" Counter({'t': 1, 'u': 1, 'l': 1, 'i': 1, 'p': 1})\n",
"pulpit is composed of these letters and occurances :\n",
" Counter({'p': 2, 'u': 1, 'l': 1, 'i': 1, 't': 1})\n"
]
}
],
"source": [
"# 法三\n",
"from collections import Counter\n",
"\n",
"def collection_counter(inp_str):\n",
"\n",
" # using collections.Counter() to get\n",
" # count of each element in string\n",
" oup = Counter(inp_str)\n",
"\n",
" # printing result\n",
" print (\"{} is composed of these letters and occurances :\\n \".format(inp_str)+ str(oup))\n",
"\n",
"collection_counter(\"tulip\")\n",
"collection_counter(\"pulpit\")\n",
" \n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9bf3deb3-467d-4056-8a1b-1df257508356",
"metadata": {},
"outputs": [],
"source": [
"# this program can take two input words can see if they are anagrams? \n",
"# isAnagram \n",
"# hester mofet \n",
"# are there anagrams in non-alphabetical word arrangements? yes, but in scalable units"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "4f079374-28d7-4c44-935c-7d26fe9f4691",
"metadata": {},
"outputs": [],
"source": [
"# method to see if a pair of words are anagrams to each other\n",
"def set_counter(inp_str):\n",
" return {x : inp_str.count(x) for x in set(inp_str )}\n",
"\n",
"def areAnagrams(str1, str2):\n",
" out1 = {}\n",
" out2 = {}\n",
" #apply set counter method to each of the words and store the output \n",
" out1 = set_counter(str1)\n",
" out2 = set_counter(str2)\n",
" # compare output \n",
" if out1 == out2:\n",
" return True\n",
" else: \n",
" return False "
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "1f4fab84-aeec-4b6f-af67-a76d2af5e20c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"~~~~~~~~~~~~~~~~~~~~movie still from The Silence of Lamb to for a pair of anagrams ~~~~~~~~~~~~\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f14448dbd00>"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Python program to read\n",
"# image using matplotlib\n",
"\n",
"# importing matplotlib modules\n",
"import matplotlib.image as mpimg\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Read Images\n",
"img = mpimg.imread('therestofme.jpg')\n",
"\n",
"# Output Images\n",
"print(\"~~~~~~~~~~~~~~~~~~~~movie still from The Silence of Lamb to for a pair of anagrams ~~~~~~~~~~~~\")\n",
"plt.imshow(img)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "3df449e7-93d0-499b-8ea5-84bdba8cd165",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"areAnagrams(\"hestermofet\",\"therestofme\")"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "b517982e-ef53-4424-8a2c-5baf2cdccb1d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"False"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"areAnagrams(\"hester mofet\",\"the rest of me\")"
]
},
{
"cell_type": "markdown",
"id": "7af1e993-ca08-41eb-924e-d66b44a3480d",
"metadata": {},
"source": [
"in this case the empty strings are also counted. "
]
}
],
"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
}