I am trying to implement Peer Logic in Rapidminer

sgnarkhede2016

Hello,
I want to build Peer logic in Rapidminer,I have done with Python but not understanding how to do it in Rapidminer.
for Reference, I have attached my python code

def peer(df):

input_df=df[['fy','sic', 'name','RevenueTotalR']]

input_df['percnt']=input_df['RevenueTotalR']*20//100

input_df['below_percnt']=input_df['RevenueTotalR']-input_df['percnt']

input_df['above_percnt']=input_df['RevenueTotalR']+input_df['percnt']

appended_data = []

for y in input_df['fy'].unique().tolist():

yr_df= input_df[input_df['fy']==y]

#yr_df=input_df[input_df['fy'].astype(str)=='2017']

for yr in yr_df['sic'].unique().tolist():

sic_df = yr_df [yr_df[原文如此']==yr]

for index_1,i in sic_df.iterrows():

for index_2,j in sic_df.iterrows():

if i['name']!=j['name']:

if i['RevenueTotalR']>=j['below_percnt'] and i['RevenueTotalR']<=j['above_percnt']:

print(i['name'],'==',j['name'])

print(index_1)

i['peer_name']=j['name']

appended_data.append(i)

else:

pass

#print(index_1)

#print('FLASE')

appended_data_new=pd.DataFrame(appended_data)


Expected Output:

fy	sic	name	RevenueTotalR	percnt	below_percnt	above_percnt	peer_name
2011	7372	3D SYSTEMS CORP	230423000	46084600	184338400	276507600	ULTIMATE SOFTWARE GROUP INC
2011	7372	ULTIMATE SOFTWARE GROUP INC	269197992	53839598	215358394	323037590	3D SYSTEMS CORP
2011	3823	HICKOK INC	5082963	1016592	4066371	6099555	ELECTRO SENSORS INC
2011	3841	BECTON DICKINSON & CO	7828903936	1565780787	6263123149	9394684723	STRYKER CORP
2011	3841	STRYKER CORP	8306999808	1661399961	6645599847	9968399769	BECTON DICKINSON & CO
2011	7389	REIS, INC.	27180480	5436096	21744384	32616576	MONEYGRAM INTERNATIONAL INC
2011	7389	WESTERN UNION CO	5491399936	1098279987	4393119949	6589679923	MASTERCARD INC
2011	3674	AWARE INC /MA/	24586000	4917200	19668800	29503200	QUICKLOGIC CORPORATION
2011	3674	QUICKLOGIC CORPORATION	20969000	4193800	16775200	25162800	AWARE INC /MA/