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udemy_data_structures/Section_1/List Comprehensions.ipynb

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2019-05-01 22:08:49 -07:00
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Python List Comprehensions\n",
"basic format: new_list = [transform sequence [filter] ] \n",
"© Joe James, 2019."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import random"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**get values within a range**"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"under_10: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n"
]
}
],
"source": [
"under_10 = [x for x in range(10)]\n",
"print('under_10: ' + str(under_10))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**get squared values**"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"squares: [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]\n"
]
}
],
"source": [
"squares = [x**2 for x in under_10]\n",
"print('squares: ' + str(squares))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**get odd numbers using mod**"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"odds: [1, 3, 5, 7, 9]\n"
]
}
],
"source": [
"odds = [x for x in range(10) if x%2 == 1]\n",
"print('odds: ' + str(odds))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**get multiples of 10**"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ten_x: [0, 10, 20, 30, 40, 50, 60, 70, 80, 90]\n"
]
}
],
"source": [
"ten_x = [x * 10 for x in range(10)]\n",
"print('ten_x: ' + str(ten_x))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**get all numbers from a string**"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"nums: 2073\n"
]
}
],
"source": [
"s = 'I love 2 go t0 the store 7 times a w3ek.'\n",
"nums = [x for x in s if x.isnumeric()]\n",
"print('nums: ' + ''.join(nums))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**get index of a list item**"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"index = 2\n"
]
}
],
"source": [
"names = ['Cosmo', 'Pedro', 'Anu', 'Ray']\n",
"idx = [k for k, v in enumerate(names) if v == 'Anu']\n",
"print('index = ' + str(idx[0]))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**delete an item from a list**"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['D', 'F', 'E', 'A', 'B', 'C'] ['D', 'F', 'E', 'A', 'B']\n"
]
}
],
"source": [
"letters = [x for x in 'ABCDEF']\n",
"random.shuffle(letters)\n",
"letrs = [a for a in letters if a != 'C']\n",
"print(letters, letrs)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**if-else condition in a comprehension** \n",
"must come before iteration."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"new list: [50, 30, 10, 18, 6, 70]\n"
]
}
],
"source": [
"nums = [5, 3, 10, 18, 6, 7]\n",
"new_list = [x if x%2 == 0 else 10*x for x in nums]\n",
"print('new list: ' + str(new_list))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**nested loop iteration for 2D list** \n",
"b is the subsets, x is the values."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1, 2, 3, 4]\n"
]
}
],
"source": [
"a = [[1,2],[3,4]]\n",
"new_list = [x for b in a for x in b]\n",
"print(new_list)"
]
},
{
"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": "3.7.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}