파이썬 pandas 장점, Series , Accessing

Pandas 의 장점

• Allows the use of labels for rows and columns
• 기본적인 통계데이터 제공
• NaN values 를 알아서 처리함.
• 숫자 문자열을 알아서 로드함.
• 데이터셋들을 merge 할 수 있음.
• It integrates with NumPy and Matplotlib

Series 

import numpy as np
import pandas as pd 

index = ['eggs', 'apples', 'milk', 'bread']
data = [30, 6, 'Yes', 'No']
groceries = pd.Series(data = data, index = index)
groceries

# eggs       30
# apples      6
# milk      Yes
# bread      No
# dtype: object

 

Accessing - 레이블과 인덱스

groceries[0]
# 30

groceries[['eggs','bread']]
# eggs     30
# bread    No
# dtype: object

groceries['apples':'milk']
# apples      6
# milk      Yes
# dtype: object

groceries[1:3]
# apples      6
# milk      Yes
# dtype: object

Arithmetic Operations on Pandas Series

index = ['apples', 'oranges', 'bananas']
data = [10, 6, 3,]
fruits = pd.Series(data = data, index = index)

fruits
# apples     10
# oranges     6
# bananas     3
# dtype: int64

fruits = fruits + 5
# fruits
# apples     15
# oranges    11
# bananas     8
# dtype: int64