카테고리 없음
Python_Colab 3주차
Spartan_Races
2023. 3. 25. 08:33
def get_profit(name):
corp_code = df_listed[df_listed['corp_name'] == name].iloc[0,0]
data = dart_fss.api.finance.fnltt_singl_acnt(corp_code, '2021', '11011')
df=pd.DataFrame(data['list'])
cond=(df['fs_div']=='CFS')&(df['account_nm']=='이익잉여금')
df=df[cond]
df['name']=name
df=df[['name','thstrm_amount','frmtrm_amount']]
df.columns=['기업명','당기','전기']
df['당기']=pd.to_numeric(df['당기'].str.replace(',',''))
df['전기']=pd.to_numeric(df['전기'].str.replace(',',''))
df['증감']=df['당기']-df['전기']
df['증감율']=abs(df['증감'])/abs(df['전기']) #abs( )는 절대값
return df
def get_earning(name):
corp_code = df_non_listed[df_non_listed['corp_name'] == name].iloc[0,0]
data = dart_fss.api.info.alot_matter(corp_code, '2021', '11011')
df = pd.DataFrame(data['list'])
df=df[df['se']=='(연결)당기순이익(백만원)']
df=df[['corp_name','thstrm','frmtrm','lwfr']]
df.columns=['기업명','2021','2020','2019']
df['2021']=pd.to_numeric(df['2021'].str.replace(',','')) #문자열을 숫자로 변경
df['2020']=pd.to_numeric(df['2020'].str.replace(',',''))
df['2019']=pd.to_numeric(df['2019'].str.replace(',',''))
#df.dtypes #int형으로 변경되었는지 확인
return df