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update #1

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4a4f994
Created using Colaboratory
liamlewis1030 Jul 11, 2022
200d807
Created using Colaboratory
liamlewis1030 Jul 12, 2022
af95de9
Created using Colaboratory
liamlewis1030 Jul 12, 2022
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63 changes: 54 additions & 9 deletions MLB_rankings.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,6 @@
"name": "MLB_rankings.ipynb",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyPyISm6N8ZsL/NvT4waBFNx",
"include_colab_link": true
},
"kernelspec": {
Expand All @@ -25,7 +24,7 @@
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/RodericGuigoCorominas/datascience/blob/main/MLB_rankings.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
"<a href=\"https://colab.research.google.com/github/liamlewis1030/datascience/blob/main/MLB_rankings.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
Expand All @@ -51,7 +50,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": null,
"metadata": {
"id": "Q1tgUhRoHXxW",
"colab": {
Expand Down Expand Up @@ -298,7 +297,7 @@
},
"outputId": "230be838-1e58-4209-fa99-5b773ccdafb8"
},
"execution_count": 6,
"execution_count": null,
"outputs": [
{
"output_type": "stream",
Expand Down Expand Up @@ -330,7 +329,7 @@
"id": "Vl0ED4h8mIVM",
"outputId": "34f7dc7b-b701-4bfc-d6e4-c3f580e18bf3"
},
"execution_count": 9,
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
Expand All @@ -347,13 +346,59 @@
{
"cell_type": "code",
"source": [
"# your code..."
"from __future__ import print_function\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"url = 'https://raw.githubusercontent.com/RodericGuigoCorominas/datascience/main/datasets/mlb_june_2022.csv'\n",
"df = pd.read_csv(url)\n",
"df\n",
"\n",
"pd.__version__\n",
"all_teams = np.unique(df[['home','visitor']].to_numpy().flatten())\n",
"num_teams = len(all_teams)\n",
"\n",
"print(\"There are\",num_teams,\"teams\")\n",
"print(all_teams)\n",
"\n",
"teams_dict = dict(zip(all_teams, range(num_teams)))"
],
"metadata": {
"id": "h7pqt-a-nfUs"
"id": "h7pqt-a-nfUs",
"outputId": "be48c138-33ea-4877-ef44-61b4ec97b43f",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": []
"execution_count": 11,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"There are 30 teams\n",
"['Angels' 'Astros' 'Athletics' 'Blue Jays' 'Braves' 'Brewers' 'Cardinals'\n",
" 'Cubs' 'Diamondbacks' 'Dodgers' 'Giants' 'Guardians' 'Mariners' 'Marlins'\n",
" 'Mets' 'Nationals' 'Orioles' 'Padres' 'Phillies' 'Pirates' 'Rangers'\n",
" 'Rays' 'Red Sox' 'Reds' 'Rockies' 'Royals' 'Tigers' 'Twins' 'White Sox'\n",
" 'Yankees']\n",
" home visitor score home score visitor\n",
"0 Cubs Brewers 5 4\n",
"1 Royals Guardians 3 1\n",
"2 Cardinals Pirates 9 0\n",
"3 Nationals Mets 1 5\n",
"4 Braves Reds 3 6\n",
".. ... ... ... ...\n",
"732 Rangers Rays 3 0\n",
"733 Cubs Brewers 8 7\n",
"734 Athletics Astros 1 3\n",
"735 Diamondbacks Braves 8 7\n",
"736 Dodgers Pirates 3 5\n",
"\n",
"[737 rows x 4 columns]\n"
]
}
]
}
]
}
152 changes: 152 additions & 0 deletions pset2.py
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Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,152 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "pset2.py",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyMesRssz4skTykId0NvYhNM",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/liamlewis1030/datascience/blob/main/pset2.py\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "79fdlapYM8cp",
"outputId": "28469436-bf39-4ad7-9c9b-9d00e52dbf85"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Average of a1 = 5.2\n"
]
}
],
"source": [
"def average(l): \n",
" sum=0\n",
" for i in l:\n",
" sum=sum+i\n",
" avg = sum / len(l) \n",
" return avg\n",
" \n",
"a1 = [1,6,3,9,7] \n",
"average(a1) \n",
" \n",
"print(\"Average of a1 =\", average(a1))"
]
},
{
"cell_type": "code",
"source": [
"a1 = [3,0]\n",
"a2 = [6,1,7]\n",
"def common(x,y):\n",
" w=False\n",
" for a in x:\n",
" for b in y:\n",
" print(a,b)\n",
" if a == b:\n",
" print(\"Common element!\")\n",
" w=True\n",
" return w\n",
"common(a1,a2)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "3tRtkucQNJH8",
"outputId": "6e89ce3c-febe-40eb-8864-17b0655d68f4"
},
"execution_count": 68,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"3 6\n",
"3 1\n",
"3 7\n",
"0 6\n",
"0 1\n",
"0 7\n"
]
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"False"
]
},
"metadata": {},
"execution_count": 68
}
]
},
{
"cell_type": "code",
"source": [
"a1 = [3,7,12,16,-4,6,0,1,0]\n",
"def zerooo(x):\n",
" for a in x:\n",
" if a != 0:\n",
" print(a)\n",
" if a==0:\n",
" print('zerooo')\n",
"zerooo(a1)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "pCTii0kBNJ6u",
"outputId": "6c87d365-8d74-4cb5-9e67-763a57e68863"
},
"execution_count": 95,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"3\n",
"7\n",
"12\n",
"16\n",
"-4\n",
"6\n",
"zerooo\n",
"1\n",
"zerooo\n"
]
}
]
}
]
}