[Python] 파이썬으로 주식 수 불러오는 방법 FinanceDataReader

 

 

라이브러리 설치

pip install -U finance-datareader

 

코드 입력

import FinanceDataReader as fdr

df_krx = fdr.StockListing('KRX')

df_kospi = fdr.StockListing('KOSPI')
df_kosdoq = fdr.StockListing('KOSDAQ')
df_konex = fdr.StockListing('KONEX')

print('krx count    :', df_krx['Symbol'].count())
print('kospi count  :', df_kospi['Symbol'].count())
print('kosdoq count :', df_kosdoq['Symbol'].count())
print('konex count  :', df_konex['Symbol'].count())

exit()

 

출력 결과

 

코드 입력

import FinanceDataReader as fdr

df_krx    = fdr.StockListing('KRX')
df_kospi  = fdr.StockListing('KOSPI')
df_kosdoq = fdr.StockListing('KOSDAQ')
df_konex  = fdr.StockListing('KONEX')

print('krx count    :', df_krx['Symbol'].count())
print('kospi count  :', df_kospi['Symbol'].count())
print('kosdoq count :', df_kosdoq['Symbol'].count())
print('konex count  :', df_konex['Symbol'].count())

print('----------------------------')

print('krx columns    :', df_krx.columns)
print('kospi columns  :', df_kospi.columns)
print('kosdoq columns :', df_kosdoq.columns)
print('konex columns  :', df_konex.columns)

exit()

 

출력 결과

 

특정 주식이 어디에 있는지 확인하기

import FinanceDataReader as fdr

df_krx    = fdr.StockListing('KRX')
df_kospi  = fdr.StockListing('KOSPI')
df_kosdoq = fdr.StockListing('KOSDAQ')
df_konex  = fdr.StockListing('KONEX')

search_name = '삼성전자'

if (df_krx['Name'] == search_name).any(): print('KRX')
if (df_kospi['Name'] == search_name).any(): print('KOSPI')
if (df_kosdoq['Name'] == search_name).any(): print('KOSDAQ')
if (df_konex['Name'] == search_name).any(): print('KONEX')

exit()

 

 

특정 주식의 코드 확인하기

import FinanceDataReader as fdr

# df_krx    = fdr.StockListing('KRX')
df_kospi  = fdr.StockListing('KOSPI')
# df_kosdoq = fdr.StockListing('KOSDAQ')
# df_konex  = fdr.StockListing('KONEX')

search_name = '삼성전자'
search_code = df_kospi[df_kospi['Name'] == search_name]['Symbol']

print(search_code)

exit()

 

주식코드를 이용한 주식가격 조회

import FinanceDataReader as fdr

# df_krx    = fdr.StockListing('KRX')
df_kospi  = fdr.StockListing('KOSPI')
# df_kosdoq = fdr.StockListing('KOSDAQ')
# df_konex  = fdr.StockListing('KONEX')

search_name = '삼성전자'
# search_code = df_kospi[df_kospi['Name'] == search_name]['Symbol']

df = fdr.DataReader('005930', '2022-08-16', '2022-08-23')

print(df)

exit()

 

컬럼명 변경

import FinanceDataReader as fdr

# df_krx    = fdr.StockListing('KRX')
# df_kospi  = fdr.StockListing('KOSPI')
# df_kosdoq = fdr.StockListing('KOSDAQ')
# df_konex  = fdr.StockListing('KONEX')

search_name = '삼성전자'
# search_code = df_kospi[df_kospi['Name'] == search_name]['Symbol']

df = fdr.DataReader('005930', '2022-08-16', '2022-08-23')
df.rename(columns = {'Open': '시가', 'High': '고가', 'Low': '저가', 'Close': '종가', 'Volume': '거래량', 'Change': '변화율'}, inplace = True)

print(df)

exit()