Create array of differences in col between two adjacent numbers in an array python/pyspark

I have a column of arrays made of numbers, ie [0,80,160,220], and would like to create a column of arrays of the differences between adjacent terms, ie [80,80,60]

Does anyone have an idea how to approach this in Python or PySpark? I’m thinking of something iterative (ith term minus i-1th term starting at second term) but am really stuck how to code that. Thanks!

Answer

Edit:

d=[0,80,160,220]
df=pd.DataFrame(d,columns= ['col_list'])
df['col_new']=df['col_list'].diff()
print(df)
#output
   col_list  col_new
0   0        NaN
1   80       80.0
2   160      80.0
3   220      60.0

Also, if you want to delete the row with NaN you can do:

df.dropna(subset = ['col_new'])

#output

   col_list  col_new
1   80       80.0
2   160      80.0
3   220      60.0