python - set list as value in a column of a pandas dataframe -

let's have dataframe df , create new column filled 0, use:

df['new_col'] = 0 

this far, no problem. if value want use list, doesn't work:

df['new_col'] = my_list  valueerror: length of values not match length of index 

i understand why doesn't work (pandas trying assign 1 value of list per cell of column), how can avoid behavior? (if isn't clear every cell of new column contain same predefined list)

note: tried: df.assign(new_col = my_list), same problem

you'd have do:

df['new_col'] = [my_list] * len(df) 

example:

in [13]: df = pd.dataframe(np.random.randn(5,3), columns=list('abc')) df  out[13]:                   b         c 0 -0.010414  1.859791  0.184692 1 -0.818050 -0.287306 -1.390080 2 -0.054434  0.106212  1.542137 3 -0.226433  0.390355  0.437592 4 -0.204653 -2.388690  0.106218  in [17]: df['b'] = [[234]] * len(df) df  out[17]:                b         c 0 -0.010414  [234]  0.184692 1 -0.818050  [234] -1.390080 2 -0.054434  [234]  1.542137 3 -0.226433  [234]  0.437592 4 -0.204653  [234]  0.106218 

note dfs optimised scalar values, storing non scalar values defeats point in opinion filtering, looking up, getting , setting become problematic point becomes pain