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{
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"name": "stderr",
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"text": [
"/Users/eddie/.pyenv/versions/3.7.3/envs/tensorflow-1.14/lib/python3.7/site-packages/pandas/compat/__init__.py:117: UserWarning: Could not import the lzma module. Your installed Python is incomplete. Attempting to use lzma compression will result in a RuntimeError.\n",
" warnings.warn(msg)\n"
]
}
],
"source": [
"import pandas as pd"
]
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"metadata": {},
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{
"data": {
"text/plain": [
"'/Users/eddie/Documents/Programming/Python/Neural_Networks_Stuff/Course'"
]
},
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],
"source": [
"pwd"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv('./Tensorflow-Bootcamp-master/00-Crash-Course-Basics/salaries.csv')"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
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" <th>Age</th>\n",
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" <td>John</td>\n",
" <td>50000</td>\n",
" <td>34</td>\n",
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" <th>1</th>\n",
" <td>Sally</td>\n",
" <td>120000</td>\n",
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" Name Salary Age\n",
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"source": [
"df"
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{
"cell_type": "code",
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"metadata": {},
"outputs": [
{
"data": {
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"0 50000\n",
"1 120000\n",
"2 80000\n",
"Name: Salary, dtype: int64"
]
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"source": [
"df['Salary']"
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"text/plain": [
" Salary Name\n",
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"1 120000 Sally\n",
"2 80000 Alyssa"
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"source": [
"df[['Salary','Name']]"
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{
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"metadata": {},
"outputs": [
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" <th>count</th>\n",
" <td>3.000000</td>\n",
" <td>3.000000</td>\n",
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" <th>mean</th>\n",
" <td>83333.333333</td>\n",
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" <td>35118.845843</td>\n",
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" <th>min</th>\n",
" <td>50000.000000</td>\n",
" <td>27.000000</td>\n",
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" <th>25%</th>\n",
" <td>65000.000000</td>\n",
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" </tr>\n",
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" <th>50%</th>\n",
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" Salary Age\n",
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"std 35118.845843 9.073772\n",
"min 50000.000000 27.000000\n",
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"50% 80000.000000 34.000000\n",
"75% 100000.000000 39.500000\n",
"max 120000.000000 45.000000"
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"source": [
"df.describe()"
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"execution_count": 11,
"metadata": {},
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" <th>2</th>\n",
" <td>Alyssa</td>\n",
" <td>80000</td>\n",
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"</table>\n",
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"text/plain": [
" Name Salary Age\n",
"1 Sally 120000 45\n",
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]
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"execution_count": 11,
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],
"source": [
"df[df['Salary'] > 60000]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
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}
],
"metadata": {
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"language": "python",
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