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{
"cells": [
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"metadata": {},
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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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"data": {
"text/plain": [
"'/Users/eddie/Documents/Programming/Python/Neural_Networks_Stuff/Course'"
]
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"pwd"
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{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv('./Tensorflow-Bootcamp-master/00-Crash-Course-Basics/salaries.csv')"
]
},
{
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"metadata": {},
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" Name Salary Age\n",
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"df"
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{
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"metadata": {},
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{
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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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" Salary Name\n",
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"source": [
"df[['Salary','Name']]"
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" <td>3.000000</td>\n",
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" <td>83333.333333</td>\n",
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" Salary Age\n",
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"50% 80000.000000 34.000000\n",
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"max 120000.000000 45.000000"
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"source": [
"df.describe()"
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"text/plain": [
" Name Salary Age\n",
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"source": [
"df[df['Salary'] > 60000]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
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}
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"metadata": {
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