How to loop through a series and create a new series based on values from the original series?

I am trying to create a new series that uses entries from a series of two columns. Each column contains a limit, upper and lower and I want to create an array for each entry of the new series.

Series =

What I want is to use the following code:

np.linsapce(lower,upper,5) 

this creates an array of 5 points, starting from lower number to upper. The new series would look like:

Use apply:

df['range'] = df.apply(lambda x: np.linspace(x['lower'], x['upper'], 5), axis=1)

>>> df
   lower   upper                                            range

0    20.2   56.2                   [20.2, 29.2, 38.2, 47.2, 56.2]
1    10.0   77.7  [10.0, 26.925, 43.85, 60.775000000000006, 77.7]