using conditions in panda-CodePudding

this my data frame my dataframe i use this code to get something called WT

DF['T.U']=DF['WIDE']*DF['LENGTH']*DF['QTY']/1000000 DF['CLAD_THK']*DF['LENGTH']*DF['QTY']/1000000
    DF['U.W']=DF['THK']*78.5/10   DF['CLAD_THK']*79.9/10
    DF['W.T']=DF['T.U']*DF['U.W']
    DF['W.T']=DF['WT']/1000

this is how data is after applying code data frame after code I want to add conditions depending on the MAT column to calculate WT for example if i have MAT=516, apply this code

 DF['T.U']=DF['WIDE']*DF['LENGTH']*DF['QTY']/1000000 DF['CLAD_THK']*DF['LENGTH']*DF['QTY']/1000000
 DF['U.W']=DF['THK']*78.5/10   DF['CLAD_THK']*79.9/10
 DF['W.T']=DF['T.U']*DF['U.W']
 DF['W.T']=DF['WT']/1000

if MAT=240 apply this

DF['T.U']=DF['WIDE']*DF['LENGTH']*DF['QTY']/1000000 DF['CLAD_THK']*DF['LENGTH']*DF['QTY']/1000000
DF['U.W']=DF['THK']*79.9/10   DF['CLAD_THK']*79.9/10
DF['W.T']=DF['T.U']*DF['U.W']
DF['W.T']=DF['WT']/1000

CodePudding user response：

You should iterate over rows on your dataframe:

for index, row in DF.iterows():
   if (row['MAT'] == 516):
       # Apply code 1 on row instead of DF
   elif (row['MAT'] == 240):
       # Apply code 2 on row instead of DF