diff --git a/README.md b/README.md
index 60cf23509fcadb2e0a6eb96c92d7cbb29191e2c6..ac7c750e41e84e6eca31dd5bcd569230a9c731f4 100644
--- a/README.md
+++ b/README.md
@@ -629,4 +629,693 @@ print (np.sort(arr1)[::-1])
```python
```
-# Pandas 배워보기
\ No newline at end of file
+# Pandas 배워보기
+
+```python
+import pandas as pd
+import numpy as np
+```
+
+
+```python
+data = {'name': ['YoungWoo', 'DomgHo', 'Minsu', 'Hong', 'Kwangsung'],
+ 'year': [2013, 2014, 2015, 2016, 2015],
+ 'points': [1.5, 1.7, 3.6, 2.4, 2.9]}
+
+df = pd.DataFrame(data)
+print (df)
+```
+
+ name year points
+ 0 YoungWoo 2013 1.5
+ 1 DomgHo 2014 1.7
+ 2 Minsu 2015 3.6
+ 3 Hong 2016 2.4
+ 4 Kwangsung 2015 2.9
+
+
+
+```python
+df
+```
+
+
+
+
+<div>
+<style scoped>
+ .dataframe tbody tr th:only-of-type {
+ vertical-align: middle;
+ }
+
+ .dataframe tbody tr th {
+ vertical-align: top;
+ }
+
+ .dataframe thead th {
+ text-align: right;
+ }
+</style>
+<table border="1" class="dataframe">
+ <thead>
+ <tr style="text-align: right;">
+ <th></th>
+ <th>name</th>
+ <th>year</th>
+ <th>points</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <th>0</th>
+ <td>YoungWoo</td>
+ <td>2013</td>
+ <td>1.5</td>
+ </tr>
+ <tr>
+ <th>1</th>
+ <td>DomgHo</td>
+ <td>2014</td>
+ <td>1.7</td>
+ </tr>
+ <tr>
+ <th>2</th>
+ <td>Minsu</td>
+ <td>2015</td>
+ <td>3.6</td>
+ </tr>
+ <tr>
+ <th>3</th>
+ <td>Hong</td>
+ <td>2016</td>
+ <td>2.4</td>
+ </tr>
+ <tr>
+ <th>4</th>
+ <td>Kwangsung</td>
+ <td>2015</td>
+ <td>2.9</td>
+ </tr>
+ </tbody>
+</table>
+</div>
+
+
+
+
+```python
+csv = pd.read_csv('C:/Users/김영우/jupyter/example.csv')
+csv
+```
+
+
+
+
+<div>
+<style scoped>
+ .dataframe tbody tr th:only-of-type {
+ vertical-align: middle;
+ }
+
+ .dataframe tbody tr th {
+ vertical-align: top;
+ }
+
+ .dataframe thead th {
+ text-align: right;
+ }
+</style>
+<table border="1" class="dataframe">
+ <thead>
+ <tr style="text-align: right;">
+ <th></th>
+ <th>ID</th>
+ <th>NAME</th>
+ <th>나이</th>
+ <th>점수</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <th>0</th>
+ <td>1</td>
+ <td>Kim</td>
+ <td>23</td>
+ <td>75</td>
+ </tr>
+ <tr>
+ <th>1</th>
+ <td>2</td>
+ <td>Lee</td>
+ <td>19</td>
+ <td>80</td>
+ </tr>
+ <tr>
+ <th>2</th>
+ <td>3</td>
+ <td>Choi</td>
+ <td>20</td>
+ <td>59</td>
+ </tr>
+ <tr>
+ <th>3</th>
+ <td>4</td>
+ <td>Song</td>
+ <td>23</td>
+ <td>90</td>
+ </tr>
+ <tr>
+ <th>4</th>
+ <td>5</td>
+ <td>Hwang</td>
+ <td>25</td>
+ <td>83</td>
+ </tr>
+ </tbody>
+</table>
+</div>
+
+
+
+
+```python
+print (df.columns)
+print (csv.columns)
+```
+
+ Index(['name', 'year', 'points'], dtype='object')
+ Index(['ID', 'NAME', '나이', '점수'], dtype='object')
+
+
+
+```python
+print (df.values)
+print (csv.values)
+```
+
+ [['YoungWoo' 2013 1.5]
+ ['DomgHo' 2014 1.7]
+ ['Minsu' 2015 3.6]
+ ['Hong' 2016 2.4]
+ ['Kwangsung' 2015 2.9]]
+ [[1 'Kim' 23 75]
+ [2 'Lee' 19 80]
+ [3 'Choi' 20 59]
+ [4 'Song' 23 90]
+ [5 'Hwang' 25 83]]
+
+
+
+```python
+df.describe()
+```
+
+
+
+
+<div>
+<style scoped>
+ .dataframe tbody tr th:only-of-type {
+ vertical-align: middle;
+ }
+
+ .dataframe tbody tr th {
+ vertical-align: top;
+ }
+
+ .dataframe thead th {
+ text-align: right;
+ }
+</style>
+<table border="1" class="dataframe">
+ <thead>
+ <tr style="text-align: right;">
+ <th></th>
+ <th>year</th>
+ <th>points</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <th>count</th>
+ <td>5.000000</td>
+ <td>5.000000</td>
+ </tr>
+ <tr>
+ <th>mean</th>
+ <td>2014.600000</td>
+ <td>2.420000</td>
+ </tr>
+ <tr>
+ <th>std</th>
+ <td>1.140175</td>
+ <td>0.864292</td>
+ </tr>
+ <tr>
+ <th>min</th>
+ <td>2013.000000</td>
+ <td>1.500000</td>
+ </tr>
+ <tr>
+ <th>25%</th>
+ <td>2014.000000</td>
+ <td>1.700000</td>
+ </tr>
+ <tr>
+ <th>50%</th>
+ <td>2015.000000</td>
+ <td>2.400000</td>
+ </tr>
+ <tr>
+ <th>75%</th>
+ <td>2015.000000</td>
+ <td>2.900000</td>
+ </tr>
+ <tr>
+ <th>max</th>
+ <td>2016.000000</td>
+ <td>3.600000</td>
+ </tr>
+ </tbody>
+</table>
+</div>
+
+
+
+
+```python
+csv.describe()
+```
+
+
+
+
+<div>
+<style scoped>
+ .dataframe tbody tr th:only-of-type {
+ vertical-align: middle;
+ }
+
+ .dataframe tbody tr th {
+ vertical-align: top;
+ }
+
+ .dataframe thead th {
+ text-align: right;
+ }
+</style>
+<table border="1" class="dataframe">
+ <thead>
+ <tr style="text-align: right;">
+ <th></th>
+ <th>ID</th>
+ <th>나이</th>
+ <th>점수</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <th>count</th>
+ <td>5.000000</td>
+ <td>5.00000</td>
+ <td>5.000000</td>
+ </tr>
+ <tr>
+ <th>mean</th>
+ <td>3.000000</td>
+ <td>22.00000</td>
+ <td>77.400000</td>
+ </tr>
+ <tr>
+ <th>std</th>
+ <td>1.581139</td>
+ <td>2.44949</td>
+ <td>11.631853</td>
+ </tr>
+ <tr>
+ <th>min</th>
+ <td>1.000000</td>
+ <td>19.00000</td>
+ <td>59.000000</td>
+ </tr>
+ <tr>
+ <th>25%</th>
+ <td>2.000000</td>
+ <td>20.00000</td>
+ <td>75.000000</td>
+ </tr>
+ <tr>
+ <th>50%</th>
+ <td>3.000000</td>
+ <td>23.00000</td>
+ <td>80.000000</td>
+ </tr>
+ <tr>
+ <th>75%</th>
+ <td>4.000000</td>
+ <td>23.00000</td>
+ <td>83.000000</td>
+ </tr>
+ <tr>
+ <th>max</th>
+ <td>5.000000</td>
+ <td>25.00000</td>
+ <td>90.000000</td>
+ </tr>
+ </tbody>
+</table>
+</div>
+
+
+
+
+```python
+df['zero'] = np.zeros(5)
+df
+```
+
+
+
+
+<div>
+<style scoped>
+ .dataframe tbody tr th:only-of-type {
+ vertical-align: middle;
+ }
+
+ .dataframe tbody tr th {
+ vertical-align: top;
+ }
+
+ .dataframe thead th {
+ text-align: right;
+ }
+</style>
+<table border="1" class="dataframe">
+ <thead>
+ <tr style="text-align: right;">
+ <th></th>
+ <th>name</th>
+ <th>year</th>
+ <th>points</th>
+ <th>zero</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <th>0</th>
+ <td>YoungWoo</td>
+ <td>2013</td>
+ <td>1.5</td>
+ <td>0.0</td>
+ </tr>
+ <tr>
+ <th>1</th>
+ <td>DomgHo</td>
+ <td>2014</td>
+ <td>1.7</td>
+ <td>0.0</td>
+ </tr>
+ <tr>
+ <th>2</th>
+ <td>Minsu</td>
+ <td>2015</td>
+ <td>3.6</td>
+ <td>0.0</td>
+ </tr>
+ <tr>
+ <th>3</th>
+ <td>Hong</td>
+ <td>2016</td>
+ <td>2.4</td>
+ <td>0.0</td>
+ </tr>
+ <tr>
+ <th>4</th>
+ <td>Kwangsung</td>
+ <td>2015</td>
+ <td>2.9</td>
+ <td>0.0</td>
+ </tr>
+ </tbody>
+</table>
+</div>
+
+
+
+
+```python
+csv['random'] = np.random.rand(5)
+csv['random'] *= 10
+csv
+```
+
+
+
+
+<div>
+<style scoped>
+ .dataframe tbody tr th:only-of-type {
+ vertical-align: middle;
+ }
+
+ .dataframe tbody tr th {
+ vertical-align: top;
+ }
+
+ .dataframe thead th {
+ text-align: right;
+ }
+</style>
+<table border="1" class="dataframe">
+ <thead>
+ <tr style="text-align: right;">
+ <th></th>
+ <th>ID</th>
+ <th>NAME</th>
+ <th>나이</th>
+ <th>점수</th>
+ <th>random</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <th>0</th>
+ <td>1</td>
+ <td>Kim</td>
+ <td>23</td>
+ <td>75</td>
+ <td>1.859625</td>
+ </tr>
+ <tr>
+ <th>1</th>
+ <td>2</td>
+ <td>Lee</td>
+ <td>19</td>
+ <td>80</td>
+ <td>0.588391</td>
+ </tr>
+ <tr>
+ <th>2</th>
+ <td>3</td>
+ <td>Choi</td>
+ <td>20</td>
+ <td>59</td>
+ <td>8.702442</td>
+ </tr>
+ <tr>
+ <th>3</th>
+ <td>4</td>
+ <td>Song</td>
+ <td>23</td>
+ <td>90</td>
+ <td>7.638486</td>
+ </tr>
+ <tr>
+ <th>4</th>
+ <td>5</td>
+ <td>Hwang</td>
+ <td>25</td>
+ <td>83</td>
+ <td>9.592227</td>
+ </tr>
+ </tbody>
+</table>
+</div>
+
+
+
+
+```python
+del df['zero']
+df
+```
+
+
+
+
+<div>
+<style scoped>
+ .dataframe tbody tr th:only-of-type {
+ vertical-align: middle;
+ }
+
+ .dataframe tbody tr th {
+ vertical-align: top;
+ }
+
+ .dataframe thead th {
+ text-align: right;
+ }
+</style>
+<table border="1" class="dataframe">
+ <thead>
+ <tr style="text-align: right;">
+ <th></th>
+ <th>name</th>
+ <th>year</th>
+ <th>points</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <th>0</th>
+ <td>YoungWoo</td>
+ <td>2013</td>
+ <td>1.5</td>
+ </tr>
+ <tr>
+ <th>1</th>
+ <td>DomgHo</td>
+ <td>2014</td>
+ <td>1.7</td>
+ </tr>
+ <tr>
+ <th>2</th>
+ <td>Minsu</td>
+ <td>2015</td>
+ <td>3.6</td>
+ </tr>
+ <tr>
+ <th>3</th>
+ <td>Hong</td>
+ <td>2016</td>
+ <td>2.4</td>
+ </tr>
+ <tr>
+ <th>4</th>
+ <td>Kwangsung</td>
+ <td>2015</td>
+ <td>2.9</td>
+ </tr>
+ </tbody>
+</table>
+</div>
+
+
+
+
+```python
+val = pd.Series([10, 20, 30, 40, 50])
+df['tens'] = val
+df
+```
+
+
+
+
+<div>
+<style scoped>
+ .dataframe tbody tr th:only-of-type {
+ vertical-align: middle;
+ }
+
+ .dataframe tbody tr th {
+ vertical-align: top;
+ }
+
+ .dataframe thead th {
+ text-align: right;
+ }
+</style>
+<table border="1" class="dataframe">
+ <thead>
+ <tr style="text-align: right;">
+ <th></th>
+ <th>name</th>
+ <th>year</th>
+ <th>points</th>
+ <th>tens</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <th>0</th>
+ <td>YoungWoo</td>
+ <td>2013</td>
+ <td>1.5</td>
+ <td>10</td>
+ </tr>
+ <tr>
+ <th>1</th>
+ <td>DomgHo</td>
+ <td>2014</td>
+ <td>1.7</td>
+ <td>20</td>
+ </tr>
+ <tr>
+ <th>2</th>
+ <td>Minsu</td>
+ <td>2015</td>
+ <td>3.6</td>
+ <td>30</td>
+ </tr>
+ <tr>
+ <th>3</th>
+ <td>Hong</td>
+ <td>2016</td>
+ <td>2.4</td>
+ <td>40</td>
+ </tr>
+ <tr>
+ <th>4</th>
+ <td>Kwangsung</td>
+ <td>2015</td>
+ <td>2.9</td>
+ <td>50</td>
+ </tr>
+ </tbody>
+</table>
+</div>
+
+
+
+
+```python
+print (df.sum(axis = 0))
+print (df.sum(axis = 1))
+print (df.min(axis = 0))
+```
+
+ name YoungWooDomgHoMinsuHongKwangsung
+ year 10073
+ points 12.1
+ tens 150
+ dtype: object
+ 0 2024.5
+ 1 2035.7
+ 2 2048.6
+ 3 2058.4
+ 4 2067.9
+ dtype: float64
+ name DomgHo
+ year 2013
+ points 1.5
+ tens 10
+ dtype: object
+
+
+
+```python
+
+```