Replacing values ​​in a particular Dataframe column by dictionary

It is necessary to replace the values ​​in a particular Dataframe column by the dictionary, if you are not found, you need to remove the entire line from Dataframe.

I was able to complete the task as:

  DICT1 = { 'car' :  'c' ,  '' motorcycle" :  'mt' ,  'truck' :  ''}} df = pd.dataframe ({span class> '' 'product ":  'Truck Motorcycle Car Tire Wheel Truck' . Split (),   'price' :  10000 ,  5000 ,  23000 ,  15000 ,  500 ,  300 ,  8000 ]}) df [ 'product_new' ] = df [ '' 'product' ].  map  (dict1) df.dropna (inplace =  true ) df.drop ( '' 'product' , axis =  1 , inplace =  true ) df_new = df.reindex (columns = [ '' 'product_new' ,  'price' ])     
 is it possible to replace values ​​immediately in the  product  column without creating an intermediate column and getting rid of the lines by which the key in the dictionary was not found? 
  
  replace , but somehow it did not work out.