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[lab-string-operatinos] Ekraj Pokhrel #208

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dcc9852
solutions lab string operations
ekraj-pok Apr 16, 2023
7117d35
Solutions lab-string-operations
ekraj-pok Apr 16, 2023
6490e25
all solutions for lab string operations including bow and sklearn
ekraj-pok Apr 16, 2023
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214 changes: 187 additions & 27 deletions your-code/challenge-1.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -33,12 +33,23 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 11,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Durante un tiempo no estuvo segura de si su marido era su marido.\n"
]
}
],
"source": [
"str_list = ['Durante', 'un', 'tiempo', 'no', 'estuvo', 'segura', 'de', 'si', 'su', 'marido', 'era', 'su', 'marido']\n",
"# Your code here:\n"
"# Your code here:\n",
"string = \" \".join(str_list) + \".\"\n",
"print(string)\n",
" "
]
},
{
Expand All @@ -50,12 +61,27 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 21,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"'Grocery list: bananas, bread, brownie mix, broccoli.'"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"food_list = ['Bananas', 'Chocolate', 'bread', 'diapers', 'Ice Cream', 'Brownie Mix', 'broccoli']\n",
"# Your code here:\n"
"# Your code here:\n",
"grocery_list = \"Grocery list: \"\n",
"grocery_list += \", \".join([food.lower() for food in food_list if food.lower().startswith(\"b\")]) + \".\"\n",
"grocery_list\n",
" "
]
},
{
Expand All @@ -69,9 +95,20 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 27,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"'The area of the circle with radius: 4.5 is: 63.61725123519331.'"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import math\n",
"\n",
Expand All @@ -90,7 +127,8 @@
" # Your code here:\n",
" return pi * (x**2)\n",
" \n",
"# Your output string here:\n"
"# Your output string here:\n",
"f\"{string1 } {radius } {string2 } {area(radius)}.\"\n"
]
},
{
Expand All @@ -106,9 +144,17 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 47,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'s': 13, 'o': 18, 'm': 3, 'e': 20, 'a': 12, 'y': 3, 't': 18, 'h': 12, 'w': 8, 'r': 10, 'l': 6, 'd': 9, 'i': 21, 'n': 8, 'f': 10, 'c': 5, '’': 1, 'v': 2, 'b': 1, 'u': 5, 'p': 1, 'k': 2, 'g': 2}\n"
]
}
],
"source": [
"poem = \"\"\"Some say the world will end in fire,\n",
"Some say in ice.\n",
Expand All @@ -120,7 +166,11 @@
"Is also great\n",
"And would suffice.\"\"\"\n",
"\n",
"# Your code here:\n"
"# Your code here:\n",
"poem = poem.lower().replace(\",\", \"\").replace(\"\\n\", \" \").replace(\".\", \"\")\n",
"word_dict = {letter: poem.count(letter) for letter in poem if letter != \" \"}\n",
"\"\"\"word_dict.pop(\" \")\"\"\"\n",
"print(word_dict)\n"
]
},
{
Expand All @@ -132,9 +182,68 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 94,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"{'&',\n",
" 'angry',\n",
" 'apple',\n",
" 'beheld',\n",
" 'beneath',\n",
" 'bore',\n",
" 'both',\n",
" 'bright',\n",
" 'day',\n",
" 'deceitful',\n",
" 'did',\n",
" 'end',\n",
" 'fears',\n",
" 'foe',\n",
" 'friend',\n",
" 'garden',\n",
" 'glad',\n",
" 'grew',\n",
" 'grow',\n",
" 'had',\n",
" 'he',\n",
" 'i',\n",
" 'into',\n",
" 'knew',\n",
" 'mine',\n",
" 'morning',\n",
" 'my',\n",
" 'night',\n",
" 'not',\n",
" 'outstretched',\n",
" 'pole',\n",
" 'see',\n",
" 'shine',\n",
" 'smiles',\n",
" 'soft',\n",
" 'stole',\n",
" 'sunned',\n",
" 'tears',\n",
" 'that',\n",
" 'till',\n",
" 'told',\n",
" 'tree',\n",
" 'veild',\n",
" 'was',\n",
" 'waterd',\n",
" 'when',\n",
" 'wiles',\n",
" 'with',\n",
" 'wrath'}"
]
},
"execution_count": 94,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"blacklist = ['and', 'as', 'an', 'a', 'the', 'in', 'it']\n",
"\n",
Expand All @@ -158,7 +267,15 @@
"In the morning glad I see; \n",
"My foe outstretched beneath the tree.\"\"\"\n",
"\n",
"# Your code here:\n"
"# Your code here:\n",
"#rule = blacklist\n",
"poem = \" \".join(poem.split()).lower().replace(\",\", \" \").replace(\";\", \"\").replace(\".\", \" \").replace(\"\\n\", \"\").replace(\":\", \"\") # removing non character, extra space and lower case all word\n",
" \n",
"poem_word_set = set(poem.split()) # creating set of word in poem\n",
"blacklist_set = set(blacklist) # converting blacklist in to set\n",
"\n",
"unique_word_poem = poem_word_set.difference(blacklist_set) # usnig set.difference to find word in poem but not in blacklist\n",
"unique_word_poem"
]
},
{
Expand All @@ -172,16 +289,29 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 105,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"['T', 'P']"
]
},
"execution_count": 105,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import re\n",
"\n",
"poem = \"\"\"The apparition of these faces in the crowd;\n",
"Petals on a wet, black bough.\"\"\"\n",
"\n",
"# Your code here:\n"
"# Your code here:\n",
"rule = \"[A-Z]\"\n",
"re.findall(rule, poem) "
]
},
{
Expand All @@ -193,13 +323,30 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 125,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"['123abc', 'abc123', 'JohnSmith1', 'ABBY4']"
]
},
"execution_count": 125,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = ['123abc', 'abc123', 'JohnSmith1', 'ABBY4', 'JANE']\n",
"\n",
"# Your code here:\n"
"# Your code here:\n",
"new_list = [item for item in data if re.findall(\"\\d\", item)]\n",
"\n",
"\"\"\"for item in data:\n",
" if re.findall(\"\\d\", item):\n",
" new_list.append(item)\"\"\"\n",
"new_list"
]
},
{
Expand All @@ -215,18 +362,31 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 131,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"['123abc', 'abc123', 'JohnSmith1']"
]
},
"execution_count": 131,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = ['123abc', 'abc123', 'JohnSmith1', 'ABBY4', 'JANE']\n",
"# Your code here:\n"
"# Your code here:\n",
"bonus_list = [item for item in data if re.findall(\"\\d\", item) if re.findall(\"[a-z]\", item)]\n",
"bonus_list"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -240,7 +400,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
"version": "3.9.13"
}
},
"nbformat": 4,
Expand Down
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