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...@@ -630,3 +630,692 @@ print (np.sort(arr1)[::-1]) ...@@ -630,3 +630,692 @@ print (np.sort(arr1)[::-1])
``` ```
# Pandas 배워보기 # 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
```
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