Python Extracting dynamic amount of columns -

i'm wondering how best approach problem. have 2 dataframes:

df1        3        4       5         6    0    nan      nan     sea       nan 1  light   medium   light    medium 2     26     41.5      15        14 3     32       40      18        29  4     41       29      19        42  df2        3       4       5       6         7            8 0    nan     nan      nan        sea       nan      nan 1  light  medium    heavy      light    medium    heavy 2     26    41.5       21         15        14       29 3     32      40       19         18        29       31 4     41      29       18         19        42       35 

and trying isolate 'sea' column range such:

df1         5        6    0     sea      nan 1   light   medium 2      15       14 3      18       29  4      19       42  df2       6         7         8 0      sea      nan         nan 1    light   medium       heavy 2       15       14          29 3       18       29          31 4       19       42          35 

my initial thought somehow drop first column instances of 'light' , 'medium' or 'light' 'medium' 'heavy'. i'm not quite sure how achieve that. if has better idea/solution please feel free let me know. apologize lack of attempt don't know how approach problem

ok here answer dynamically. may not fastest

for col in df1:     if df1.loc[0,col] == 'sea':         break     else:         del df1[col] 

then same thing second dataframe