Set maximum value (upper bound) in pandas DataFrame

Question

I\'m trying to set a maximum value of a pandas DataFrame column. For example:

my_dict = {\'a\':[10,12,15,17,19,20]}
df = pd.DataFrame(my_dict)

df[\'a\'].se         


        

Answer 1

You can use clip.

Apply to all columns of the data frame:

df.clip(upper=15)

Otherwise apply to selected columns as seen here:

df.clip(upper=pd.Series({'a': 15}), axis=1)