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| import streamlit as st #line:1 | |
| import pandas as pd #line:2 | |
| uploaded_file =st .file_uploader ("Choose product file",type ="csv")#line:4 | |
| if uploaded_file :#line:6 | |
| df =pd .read_csv (uploaded_file ,encoding ='utf8')#line:8 | |
| uploaded_file2 =st .file_uploader ("Choose inventory file",type ="csv")#line:11 | |
| if uploaded_file2 :#line:13 | |
| df2 =pd .read_csv (uploaded_file2 ,encoding ='utf8')#line:15 | |
| def ConvertCitrus (O00O000OOOO0O00O0 ,OOO0O0O0OOO0O00O0 ):#line:21 | |
| import RemoveHTMLtags as RHT #line:24 | |
| O0OOOOOO00O000OO0 =str ('<style type=')+str ('"')+str ('"')+str ('text/css')+str ('"')+str ('"')+str ('><!--')#line:32 | |
| OOOO00O00000O00O0 =['<p class=','"p1"','data-mce-fragment="1">,','<b data-mce-fragment="1">','<i data-mce-fragment="1">','<p>','</p>','<p*>','<ul>','</ul>','</i>','</b>','</p>','</br>','<li>','</li>','<br>','<strong>','</strong>','<span*>','</span>','"utf-8"','UTF-8','<a href*>','</a>','<meta charset=utf-8>',';;','<em>','</em>','"','<meta charset=','utf-8>','<p>','<p','data-mce-fragment=1',';','<style type=','<style type=','><!--','text/css','<style type=\"\"text/css\"\"><!--','--></style>','td {border: 1px solid #ccc','}br {mso-data-placement:same-cell','}','>']#line:41 | |
| for O0OO0OOOOO0O0O000 ,O0O0O00O00OO00OO0 in O00O000OOOO0O00O0 .iterrows ():#line:55 | |
| O00O000OOOO0O00O0 .iloc [O0OO0OOOOO0O0O000 ,2 ]=RHT .remove_tags (str (O00O000OOOO0O00O0 .iloc [O0OO0OOOOO0O0O000 ,2 ]))#line:56 | |
| print (O00O000OOOO0O00O0 .iloc [:,2 ])#line:58 | |
| O00O000OOOO0O00O0 .iloc [:,2 ]=pd .Series (O00O000OOOO0O00O0 .iloc [:,2 ],dtype ="string")#line:63 | |
| print (O00O000OOOO0O00O0 .iloc [:,2 ].dtype )#line:64 | |
| O0000OOOOO000000O =O00O000OOOO0O00O0 .columns .tolist ()#line:88 | |
| O0000OO0OOO0OOO0O =O0000OOOOO000000O .copy ()#line:89 | |
| O0000OO0OOO0OOO0O [1 ]=O0000OOOOO000000O [1 ]#line:90 | |
| O0000OO0OOO0OOO0O [17 ]=O0000OOOOO000000O [17 ]#line:92 | |
| OO00O0000O0OO0000 =O00O000OOOO0O00O0 [O0000OO0OOO0OOO0O ].copy (deep =True )#line:113 | |
| print ("SKU")#line:114 | |
| print (O00O000OOOO0O00O0 .iloc [:,24 ])#line:115 | |
| OO0OO000O0OO0000O =O00O000OOOO0O00O0 .copy (deep =True )#line:117 | |
| OO00O0000O0OO0000 .iloc [:,0 ]=OO0OO000O0OO0000O .iloc [:,13 ].copy (deep =True )#line:119 | |
| OO00O0000O0OO0000 .iloc [:,5 ]=OO0OO000O0OO0000O .iloc [:,20 ].copy (deep =True )#line:120 | |
| OO00O0000O0OO0000 .iloc [:,7 ]=OO0OO000O0OO0000O .iloc [:,11 ].copy (deep =True )#line:121 | |
| OO00O0000O0OO0000 .iloc [:,2 ]=OO0OO000O0OO0000O .iloc [:,24 ].copy (deep =True )#line:123 | |
| OO00O0000O0OO0000 .iloc [:,8 ]=OO0OO000O0OO0000O .iloc [:,9 ].copy (deep =True )#line:125 | |
| OO00O0000O0OO0000 .iloc [:,10 ]=OO0OO000O0OO0000O .iloc [:,3 ].copy (deep =True )#line:126 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [10 ]:'Brand'},inplace =True )#line:127 | |
| OO00O0000O0OO0000 .columns .values [10 ]='Brand'#line:128 | |
| OO00O0000O0OO0000 .iloc [:,30 ]=OO0OO000O0OO0000O .iloc [:,15 ].copy (deep =True )#line:130 | |
| OO00O0000O0OO0000 .iloc [:,31 ]=OO0OO000O0OO0000O .iloc [:,5 ].copy (deep =True )#line:131 | |
| OO00O0000O0OO0000 .iloc [:,32 ]=OO0OO000O0OO0000O .iloc [:,2 ].copy (deep =True )#line:132 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [8 ]:'Size 1'},inplace =True )#line:134 | |
| print (list (OO00O0000O0OO0000 .columns .values ))#line:136 | |
| OO00O0000O0OO0000 .iloc [:,20 ]=OO00O0000O0OO0000 .iloc [:,20 ].astype (float )#line:139 | |
| OO00O0000O0OO0000 .iloc [:,4 ]=(((OO00O0000O0OO0000 .iloc [:,20 ]/1.2 )/1.96 )*0.96 )#line:141 | |
| from babel .numbers import format_currency #line:142 | |
| OO00O0000O0OO0000 .iloc [:,4 ]=OO00O0000O0OO0000 .iloc [:,4 ].apply (lambda O0OOO0O00OOO0OO0O :format_currency (O0OOO0O00OOO0OO0O ,currency ="GBP",locale ="en_GB"))#line:143 | |
| OO00O0000O0OO0000 .iloc [:,5 ]=OO00O0000O0OO0000 .iloc [:,5 ].apply (lambda O000O0OO000O0000O :format_currency (O000O0OO000O0000O ,currency ="GBP",locale ="en_GB"))#line:144 | |
| print (((OO00O0000O0OO0000 .iloc [:,20 ]/1.2 )/1.96 )*0.96 )#line:146 | |
| OO00O0000O0OO0000 .iloc [:,2 ]=OO00O0000O0OO0000 .iloc [:,2 ].astype (str ).str .replace ("'","")#line:148 | |
| OO00O0000O0OO0000 .iloc [:,24 ]=OO00O0000O0OO0000 .iloc [:,24 ].astype (str ).str .replace ("'","")#line:152 | |
| print ("SKU")#line:154 | |
| print (OO00O0000O0OO0000 .iloc [:,2 ])#line:155 | |
| print (list (OO00O0000O0OO0000 .columns .values ))#line:174 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [6 ]:'Colour Code (Simple Colour)'},inplace =True )#line:179 | |
| for O0OO0OOOOO0O0O000 ,O0O0O00O00OO00OO0 in OO00O0000O0OO0000 .iterrows ():#line:182 | |
| if O0OO0OOOOO0O0O000 ==0 :#line:183 | |
| print (O0O0O00O00OO00OO0 ['Colour Code (Simple Colour)'])#line:184 | |
| if " mens"in str (O0O0O00O00OO00OO0 ['Colour Code (Simple Colour)']):#line:185 | |
| if " womens"in str (O0O0O00O00OO00OO0 ['Colour Code (Simple Colour)']):#line:186 | |
| OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]="Unisex"#line:187 | |
| else :#line:188 | |
| OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]="Mens"#line:189 | |
| if " womens"in str (O0O0O00O00OO00OO0 ['Colour Code (Simple Colour)']):#line:191 | |
| if " mens"in str (O0O0O00O00OO00OO0 ['Colour Code (Simple Colour)']):#line:192 | |
| OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]="Unisex"#line:193 | |
| else :#line:194 | |
| OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]="Womens"#line:195 | |
| if " ladys"in str (O0O0O00O00OO00OO0 ['Colour Code (Simple Colour)']):#line:196 | |
| OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]="Ladys"#line:197 | |
| if O0OO0OOOOO0O0O000 ==0 :#line:198 | |
| print (O0O0O00O00OO00OO0 [12 ])#line:199 | |
| print (OO00O0000O0OO0000 .iloc [:,12 ])#line:200 | |
| OO00O0000O0OO0000 .iloc [:,6 ]=""#line:204 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [0 ]:'Style Number'},inplace =True )#line:206 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [1 ]:'Product Name'},inplace =True )#line:207 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [2 ]:'Vendor SKU'},inplace =True )#line:208 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [3 ]:'UPC/EAN'},inplace =True )#line:209 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [4 ]:'Unit Cost'},inplace =True )#line:210 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [5 ]:'Unit MSRP'},inplace =True )#line:211 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [6 ]:'Colour Code (Simple Colour)'},inplace =True )#line:212 | |
| print (OO00O0000O0OO0000 .columns [6 ])#line:213 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [7 ]:'Colour'},inplace =True )#line:214 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [8 ]:'Size 1'},inplace =True )#line:216 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [9 ]:'Size 2'},inplace =True )#line:217 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [10 ]:'Brand'},inplace =True )#line:218 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [11 ]:'Year of Season'},inplace =True )#line:219 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [12 ]:'Gender'},inplace =True )#line:220 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [13 ]:'Manufacturer Part Code'},inplace =True )#line:221 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [14 ]:'Other Bar Code'},inplace =True )#line:222 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [15 ]:'VAT'},inplace =True )#line:223 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [16 ]:'Pack Qty'},inplace =True )#line:224 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [17 ]:'Stock Count'},inplace =True )#line:226 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [18 ]:'Price Band 1'},inplace =True )#line:227 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [19 ]:'Price Band 2'},inplace =True )#line:228 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [20 ]:'IE VAT'},inplace =True )#line:229 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [21 ]:'Unit Cost in Euros'},inplace =True )#line:230 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [22 ]:'MSRP in Euros'},inplace =True )#line:231 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [23 ]:'Commodity Codes'},inplace =True )#line:233 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [24 ]:'Country of Origin'},inplace =True )#line:234 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [30 ]:'Weight'},inplace =True )#line:236 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [31 ]:'Short Description'},inplace =True )#line:237 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [32 ]:'Long Description'},inplace =True )#line:238 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [33 ]:'Video Link'},inplace =True )#line:239 | |
| OO00O0000O0OO0000 .iloc [:,9 ]=""#line:247 | |
| OO00O0000O0OO0000 .iloc [:,13 ]=""#line:249 | |
| OO00O0000O0OO0000 .iloc [:,14 ]=""#line:251 | |
| OO00O0000O0OO0000 .iloc [:,16 ]=""#line:253 | |
| OO00O0000O0OO0000 .iloc [:,18 ]=""#line:255 | |
| OO00O0000O0OO0000 .iloc [:,19 ]=""#line:257 | |
| OO00O0000O0OO0000 .iloc [:,20 ]=""#line:259 | |
| OO00O0000O0OO0000 .iloc [:,21 ]=""#line:261 | |
| OO00O0000O0OO0000 .iloc [:,22 ]=""#line:263 | |
| OO00O0000O0OO0000 .iloc [:,33 ]=""#line:268 | |
| OO00O0000O0OO0000 .iloc [:,15 ]="20"#line:273 | |
| print (list (OO00O0000O0OO0000 .columns .values ))#line:275 | |
| OO00O0000O0OO0000 .iloc [:,3 ]=OO00O0000O0OO0000 .iloc [:,2 ]#line:278 | |
| OO00O0000O0OO0000 .columns .values [10 ]='Brand'#line:279 | |
| OO00O0000O0OO0000 .iloc [:,11 ]=""#line:280 | |
| OO00O0000O0OO0000 .iloc [:,22 ]=""#line:281 | |
| print ("SKU")#line:285 | |
| print (OO00O0000O0OO0000 .iloc [:,2 ])#line:286 | |
| OO00O0000O0OO0000 .iloc [:,23 ]=""#line:291 | |
| OO00O0000O0OO0000 .iloc [:,24 ]=""#line:294 | |
| OO0OOOO0O0OOO00O0 =O00O000OOOO0O00O0 ['Variant SKU']#line:303 | |
| OO0O00O00O00OO0O0 =O00O000OOOO0O00O0 ['Variant SKU'].duplicated ().any ()#line:304 | |
| OO0O00O00O00OO0O0 =OOO0O0O0OOO0O00O0 ['SKU'].duplicated ().any ()#line:306 | |
| O000OO000O0000O00 =OOO0O0O0OOO0O00O0 [OOO0O0O0OOO0O00O0 .duplicated (['SKU'],keep =False )]#line:308 | |
| OOOO0OO00O0O00000 =O00O000OOOO0O00O0 [O00O000OOOO0O00O0 .duplicated (['Variant SKU'],keep =False )]#line:311 | |
| OOO0O0O0OOO0O00O0 =OOO0O0O0OOO0O00O0 .set_index ('SKU')#line:315 | |
| OOO0O0O0OOO0O00O0 .reindex (OO0OOOO0O0OOO00O0 )#line:320 | |
| print ("TERMINE")#line:337 | |
| OO00O0000O0OO0000 .iloc [:,24 ]=OOO0O0O0OOO0O00O0 .loc [:,'COO']#line:339 | |
| OO00O0000O0OO0000 .iloc [:,23 ]=OOO0O0O0OOO0O00O0 .loc [:,'HS Code']#line:340 | |
| OO00O0000O0OO0000 ['Commodity Codes']=OOO0O0O0OOO0O00O0 ['HS Code'].values #line:342 | |
| OO00O0000O0OO0000 ['Country of Origin']=OOO0O0O0OOO0O00O0 ['COO'].values #line:343 | |
| print ("SKU")#line:350 | |
| print (OO00O0000O0OO0000 .iloc [:,2 ])#line:351 | |
| OO00O00OOOO0O00O0 =[]#line:356 | |
| for OO0OOOO000OO0OO00 in range (49 ,58 ):#line:357 | |
| OO00O00OOOO0O00O0 .append (str (OO0OOOO000OO0OO00 ))#line:359 | |
| OO00O0000O0OO0000 [str (OO0OOOO000OO0OO00 )]=''#line:360 | |
| O0000000OOOOO0O0O =[]#line:364 | |
| for OO0OOOO000OO0OO00 in range (0 ,24 ):#line:365 | |
| O0000000OOOOO0O0O .append (34 +OO0OOOO000OO0OO00 )#line:366 | |
| OOOO0OO0OO0OO0OOO =OO00O0000O0OO0000 .columns [O0000000OOOOO0O0O ]#line:372 | |
| O000000O00OOO000O =['Tech Specs','Size Chart','Geometry Chart','Frame','Rear Shock','Fork','Headset','Stem','Handlebar','Bar Tape / Grip','Brakes Levers','Brake Calipers','Tyres','Wheels','Front Derailleur','Rear Derailleur','Shift Levers','Chain','Cassette','Chainset','Bottom Bracket','Pedals','Saddle','Seatpost']#line:373 | |
| OOOO0OO0OO0OO0OOO =OO00O0000O0OO0000 .columns [O0000000OOOOO0O0O ]#line:374 | |
| OO00O0000O0OO0000 .rename (columns =dict (zip (OOOO0OO0OO0OO0OOO ,O000000O00OOO000O )),inplace =True )#line:375 | |
| OO00O0000O0OO0000 .iloc [:,34 :58 ]=''#line:378 | |
| print ("SKUf")#line:381 | |
| print (OO00O0000O0OO0000 .iloc [:,2 ])#line:382 | |
| O0O0OO000OO0OO000 =OO00O0000O0OO0000 .loc [pd .isna (OO00O0000O0OO0000 .loc [:,'Product Name']),:].index #line:402 | |
| O000O00000000O0O0 =OO00O0000O0OO0000 .loc [O0O0OO000OO0OO000 ,'Image Src']#line:403 | |
| O00O00OO0OO000OOO =[]#line:404 | |
| for O0O0O00O00OO00OO0 in OO00O0000O0OO0000 .index :#line:405 | |
| if pd .notna (OO00O0000O0OO0000 .loc [O0O0O00O00OO00OO0 ,'Product Name']):#line:407 | |
| OO00O0OOOO000O0OO =O0O0O00O00OO00OO0 #line:409 | |
| OO0OOOO000OO0OO00 =1 #line:410 | |
| OO000OOOOO0OOOO0O =[]#line:412 | |
| OO000OOOOO0OOOO0O .append (OO00O0000O0OO0000 .loc [O0O0O00O00OO00OO0 ,'Image Src'])#line:414 | |
| while pd .isna (OO00O0000O0OO0000 .loc [O0O0O00O00OO00OO0 +OO0OOOO000OO0OO00 ,'Product Name'])and O0O0O00O00OO00OO0 +OO0OOOO000OO0OO00 <len (OO00O0000O0OO0000 .index )-1 :#line:415 | |
| if "http"in str (OO00O0000O0OO0000 .loc [O0O0O00O00OO00OO0 +OO0OOOO000OO0OO00 ,'Image Src']):#line:417 | |
| OO000OOOOO0OOOO0O .append (OO00O0000O0OO0000 .loc [O0O0O00O00OO00OO0 +OO0OOOO000OO0OO00 ,'Image Src'])#line:418 | |
| OO0OOOO000OO0OO00 =OO0OOOO000OO0OO00 +1 #line:419 | |
| O00O00OO0OO000OOO .append (OO000OOOOO0OOOO0O )#line:420 | |
| O00OOO00O0OOOOOOO =OO00O0000O0OO0000 .loc [pd .notna (OO00O0000O0OO0000 .loc [:,'Product Name']),:].index #line:423 | |
| OOOOOO00O00OO000O =0 #line:424 | |
| for OO0OOOO000OO0OO00 in range (len (O00O00OO0OO000OOO )):#line:425 | |
| if OOOOOO00O00OO000O <len (O00O00OO0OO000OOO [OO0OOOO000OO0OO00 ]):#line:426 | |
| OOOOOO00O00OO000O =len (O00O00OO0OO000OOO [OO0OOOO000OO0OO00 ])#line:427 | |
| print ("SKUf")#line:428 | |
| print (OO00O0000O0OO0000 .iloc [:,2 ])#line:429 | |
| for OO0O0000OO0O0O0OO in range (OOOOOO00O00OO000O ):#line:433 | |
| OO00O0000O0OO0000 .iloc [:,25 +OO0O0000OO0O0O0OO ]=''#line:434 | |
| O00OO0OOOOO0O000O =0 #line:436 | |
| for O0OO0OOOOO0O0O000 in O00OOO00O0OOOOOOO :#line:437 | |
| for OO0O0000OO0O0O0OO in range (len (O00O00OO0OO000OOO [O00OO0OOOOO0O000O ])):#line:438 | |
| if O00O00OO0OO000OOO [O00OO0OOOOO0O000O ][OO0O0000OO0O0O0OO ]!='nan':#line:441 | |
| OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,25 +OO0O0000OO0O0O0OO ]=O00O00OO0OO000OOO [O00OO0OOOOO0O000O ][OO0O0000OO0O0O0OO ]#line:442 | |
| OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [25 +OO0O0000OO0O0O0OO ]:'Image'+str (OO0O0000OO0O0O0OO +1 )},inplace =True )#line:443 | |
| O00OO0OOOOO0O000O =O00OO0OOOOO0O000O +1 #line:445 | |
| print ("SKUf")#line:446 | |
| print (OO00O0000O0OO0000 .iloc [:,2 ])#line:447 | |
| OO0OOO000OO0O0O0O =[None ]*OOOOOO00O00OO000O #line:449 | |
| OOOOO00O0OOOOOOOO =[None ]*OOOOOO00O00OO000O #line:450 | |
| O0O0O0000O0OO0OOO =[None ]*OOOOOO00O00OO000O #line:451 | |
| O000O0O0OO00OOO00 =[None ]*OOOOOO00O00OO000O #line:452 | |
| O0O0000O00O000OO0 =[None ]*OOOOOO00O00OO000O #line:453 | |
| O0000O0O000O0OO00 =[None ]*OOOOOO00O00OO000O #line:454 | |
| for O0OO0OOOOO0O0O000 ,O0O0O00O00OO00OO0 in OO00O0000O0OO0000 .iterrows ():#line:455 | |
| if pd .notna (OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,1 ]):#line:458 | |
| for OO0O0000OO0O0O0OO in range (0 ,OOOOOO00O00OO000O ):#line:459 | |
| OO0OOO000OO0O0O0O [OO0O0000OO0O0O0OO ]=str ((OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,25 +OO0O0000OO0O0O0OO ]))#line:460 | |
| OOOOO00O0OOOOOOOO [OO0O0000OO0O0O0OO ]=str ((OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,1 ]))#line:466 | |
| O0O0O0000O0OO0OOO [OO0O0000OO0O0O0OO ]=str ((OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,10 ]))#line:467 | |
| O000O0O0OO00OOO00 [OO0O0000OO0O0O0OO ]=str ((OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]))#line:468 | |
| O0O0000O00O000OO0 [OO0O0000OO0O0O0OO ]=str ((OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,31 ]))#line:469 | |
| O0000O0O000O0OO00 [OO0O0000OO0O0O0OO ]=str ((OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,32 ]))#line:470 | |
| else :#line:472 | |
| for OO0O0000OO0O0O0OO in range (0 ,OOOOOO00O00OO000O ):#line:473 | |
| OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,25 +OO0O0000OO0O0O0OO ]=OO0OOO000OO0O0O0O [OO0O0000OO0O0O0OO ]#line:474 | |
| OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,1 ]=OOOOO00O0OOOOOOOO [OO0O0000OO0O0O0OO ]#line:480 | |
| OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,10 ]=O0O0O0000O0OO0OOO [OO0O0000OO0O0O0OO ]#line:481 | |
| OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]=O000O0O0OO00OOO00 [OO0O0000OO0O0O0OO ]#line:482 | |
| OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,31 ]=O0O0000O00O000OO0 [OO0O0000OO0O0O0OO ]#line:483 | |
| OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,32 ]=O0000O0O000O0OO00 [OO0O0000OO0O0O0OO ]#line:484 | |
| print ("SKUf")#line:488 | |
| print (OO00O0000O0OO0000 .iloc [:,2 ])#line:489 | |
| return OO00O0000O0OO0000 #line:498 | |
| def convert_df (OO00OO0O00O00OOOO ):#line:501 | |
| return OO00OO0O00O00OOOO .to_csv (index =False ).encode ('utf_8_sig')#line:502 | |
| if uploaded_file and uploaded_file2 :#line:504 | |
| df3 =ConvertCitrus (df ,df2 )#line:505 | |
| csv =convert_df (df3 )#line:509 | |
| st .download_button ("Press to Download",csv ,"file.csv","text/csv",key ='download-csv') |