CSV Input

import numpy as np
import pandas as pd

df = pd.read_csv('example')

CSV Output

df.to_csv('example',index=False)

 

 

 

Excel Input

pd.read_excel('Excel_Sample.xlsx',sheetname='Sheet1')

Excel Output

df.to_excel('Excel_Sample.xlsx',sheet_name='Sheet1')

 

 

 

HTML Input

# 필요시 설치하세요
conda install lxml
conda install html5lib
conda install BeautifulSoup4
df = pd.read_html('http://www.fdic.gov/bank/individual/failed/banklist.html')
df[0]

 


 

SQL (Optional)

from sqlalchemy import create_engine

engine = create_engine('sqlite:///:memory:')
df.to_sql('data', engine)
sql_df = pd.read_sql('data',con=engine)
sql_df
'''
	index	a	b	c	d

0	0	0	1	2	3
1	1	4	5	6	7
2	2	8	9	10	11
3	3	12	13	14	15
'''

 

 

Great Job!

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