398 lines
9.4 KiB
Plaintext
398 lines
9.4 KiB
Plaintext
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"/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",
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" warnings.warn(msg)\n"
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"source": [
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"import pandas as pd"
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"cell_type": "code",
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"data": {
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"text/plain": [
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"'/Users/eddie/Documents/Programming/Python/Neural_Networks_Stuff/Course'"
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},
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"execution_count": 3,
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"source": [
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"pwd"
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"outputs": [],
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"source": [
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"df = pd.read_csv('./Tensorflow-Bootcamp-master/00-Crash-Course-Basics/salaries.csv')"
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Name</th>\n",
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" <th>Salary</th>\n",
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" <th>Age</th>\n",
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" </thead>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>John</td>\n",
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" <td>50000</td>\n",
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" <td>34</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Sally</td>\n",
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" <td>120000</td>\n",
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" <td>45</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>Alyssa</td>\n",
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" <td>80000</td>\n",
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" <td>27</td>\n",
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" </tr>\n",
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],
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"text/plain": [
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" Name Salary Age\n",
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"0 John 50000 34\n",
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"1 Sally 120000 45\n",
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"2 Alyssa 80000 27"
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]
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},
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"execution_count": 15,
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"source": [
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"df"
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0 50000\n",
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"1 120000\n",
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"2 80000\n",
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"Name: Salary, dtype: int64"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df['Salary']"
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]
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},
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"text/html": [
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"<div>\n",
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"\n",
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"\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Salary</th>\n",
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" <th>Name</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>50000</td>\n",
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" <td>John</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>120000</td>\n",
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" <td>Sally</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>80000</td>\n",
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" <td>Alyssa</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Salary Name\n",
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"0 50000 John\n",
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"1 120000 Sally\n",
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"2 80000 Alyssa"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df[['Salary','Name']]"
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]
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},
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Salary</th>\n",
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" <th>Age</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>count</th>\n",
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" <td>3.000000</td>\n",
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" <td>3.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>mean</th>\n",
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" <td>83333.333333</td>\n",
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" <td>35.333333</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>std</th>\n",
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" <td>35118.845843</td>\n",
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" <td>9.073772</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>min</th>\n",
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" <td>50000.000000</td>\n",
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" <td>27.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>25%</th>\n",
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" <td>65000.000000</td>\n",
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" <td>30.500000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>50%</th>\n",
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" <td>80000.000000</td>\n",
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" <td>34.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>75%</th>\n",
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" <td>100000.000000</td>\n",
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" <td>39.500000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>max</th>\n",
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" <td>120000.000000</td>\n",
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" <td>45.000000</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Salary Age\n",
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"count 3.000000 3.000000\n",
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"mean 83333.333333 35.333333\n",
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"std 35118.845843 9.073772\n",
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"min 50000.000000 27.000000\n",
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"25% 65000.000000 30.500000\n",
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"50% 80000.000000 34.000000\n",
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"75% 100000.000000 39.500000\n",
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"max 120000.000000 45.000000"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df.describe()"
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]
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},
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Name</th>\n",
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" <th>Salary</th>\n",
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" <th>Age</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Sally</td>\n",
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" <td>120000</td>\n",
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" <td>45</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>Alyssa</td>\n",
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" <td>80000</td>\n",
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" <td>27</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Name Salary Age\n",
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"1 Sally 120000 45\n",
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"2 Alyssa 80000 27"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df[df['Salary'] > 60000]"
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]
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},
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{
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"pygments_lexer": "ipython3",
|
||
|
|
"version": "3.7.3"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 4
|
||
|
|
}
|