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[lab-lambda-functions] Alexandre Garanhao #201

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216 changes: 163 additions & 53 deletions your-code/main.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -34,11 +34,31 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 6,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[3, 4, 5, 6, 7, 8, 9, 10, 11, 12]\n"
]
}
],
"source": [
"# your code here\n"
"list = [1,2,3,4,5,6,7,8,9,10]\n",
"simple_lambda = lambda x : x + 2\n",
"list4 =[]\n",
"\n",
"def new_list (list, fun):\n",
" for x in list:\n",
" list4.append(fun(x))\n",
"\n",
"new_list(list,simple_lambda)\n",
"\n",
"print(list4)\n",
" \n",
" "
]
},
{
Expand All @@ -52,11 +72,12 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"# Your code here:\n"
"\n",
"celsius_to_kelvin = lambda x :x + 273,15\n"
]
},
{
Expand All @@ -68,13 +89,38 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 47,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[285.15, 296.15, 311.15, 218.14999999999998, 297.15]\n"
]
}
],
"source": [
"celsius_to_kelvin = lambda x: x + 273.15\n",
"temps = [12, 23, 38, -55, 24]\n",
"\n",
"# Your code here:\n"
"new_list = [celsius_to_kelvin(x) for x in temps]\n",
"print(new_list)\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"#(lambda x: x+273,15)\n",
"\n",
"#[x for x in temps if (lambda x : x *273,15)]\n",
"\n",
"#temps(lambda x : x+273,15 [12,23,38,-55,24])\n"
]
},
{
Expand All @@ -88,11 +134,11 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
"# Your code here:\n"
"mod = lambda x,y: 1 if x%y == 0 or y%x ==0 else 0\n"
]
},
{
Expand All @@ -106,7 +152,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 68,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -115,7 +161,10 @@
" input: a number\n",
" output: a function that returns 1 if the number is divisible by another number (to be passed later) and zero otherwise\n",
" \"\"\"\n",
" # Your code here:\n"
"return_mod = lambda x : 1 if x % a == 0 else 0 \n",
"\n",
"\n",
"\n"
]
},
{
Expand All @@ -127,11 +176,30 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 80,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<function divisor.<locals>.<lambda> at 0x000001F394B6FB00>\n",
"1\n"
]
}
],
"source": [
"# Your code here:\n"
"def divisor(a):\n",
" return lambda x: 1 if x % a == 0 else 0\n",
"\n",
"\n",
"print(divisor(5))\n",
"\n",
"\n",
"divisible5 = divisor(5)\n",
"\n",
"\n",
"print(divisible5(5)) \n"
]
},
{
Expand All @@ -143,20 +211,42 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 81,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"1"
]
},
"execution_count": 81,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"divisible5(10)"
"divisible5(10) # sim é divisivel "
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 82,
"metadata": {},
"outputs": [],
"outputs": [
{
"data": {
"text/plain": [
"0"
]
},
"execution_count": 82,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"divisible5(8)"
"divisible5(8) #nao nem é"
]
},
{
Expand All @@ -174,28 +264,24 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 89,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[('Green', 'eggs'),\n",
" ('cheese', 'cheese'),\n",
" ('English', 'cucumber'),\n",
" ('tomato', 'tomato')]"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
"name": "stdout",
"output_type": "stream",
"text": [
"['Green eggs', 'cheese cheese', 'English cucumber', 'tomato tomato']\n"
]
}
],
"source": [
"list1 = ['Green', 'cheese', 'English', 'tomato']\n",
"list2 = ['eggs', 'cheese', 'cucumber', 'tomato']\n",
"zipped = zip(list1,list2)\n",
"list(zipped)"
"\n",
"new_list = [(lambda x, y : x + \" \" + y)(x, y) for x, y in zip(list1, list2)]\n",
"\n",
"print (new_list)"
]
},
{
Expand All @@ -209,17 +295,28 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 92,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[False, False, True, False]\n"
]
}
],
"source": [
"list1 = [1,2,4,4]\n",
"list2 = [2,3,3,5]\n",
"## Zip the lists together \n",
"\n",
"## Print the zipped list \n",
"together = [x > y for x, y in zip(list1, list2)]\n",
"\n",
"## Use a lambda expression to compare if: list1 element > list2 element\n"
"## Print the zipped list \n",
"print (together)\n",
"## Use a lambda expression to compare if: list1 element > list2 element\n",
"#???"
]
},
{
Expand All @@ -242,14 +339,25 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 57,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[('Political Science', 'Essay'), ('Computer Science', 'Homework'), ('Engineering', 'Lab'), ('Mathematics', 'Module')]\n"
]
}
],
"source": [
"list1 = ['Engineering', 'Computer Science', 'Political Science', 'Mathematics']\n",
"list2 = ['Lab', 'Homework', 'Essay', 'Module']\n",
"\n",
"# Your code here:\n"
"zipped = zip(list1, list2)\n",
"\n",
"sort = sorted(zipped, key=lambda x: x[1][0])\n",
"print(sort)"
]
},
{
Expand All @@ -263,21 +371,23 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 60,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'Toyota': 1995, 'Honda': 1997, 'Audi': 2001, 'BMW': 2005}\n"
]
}
],
"source": [
"d = {'Honda': 1997, 'Toyota': 1995, 'Audi': 2001, 'BMW': 2005}\n",
"\n",
"# Your code here:\n"
"new_sort = dict(sorted(d.items(), key=lambda x: x[1])) # o lambda x = 1 é para acessar o segundo valor da chave.\n",
"print(new_sort)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -296,7 +406,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
"version": "3.11.2"
}
},
"nbformat": 4,
Expand Down