is more than or equal to lower_cutoff and less than or equal to upper_cutoff.

df = df[(df["age"] >= lower_cutoff) & (df["age"] <= upper_cutoff)]

We are plotting a box plot after the outlier trimming. The box plot now looks like the following:

As we can see from the above box plot, all outliers are trimmed.

And the output of the above program will be:

Lower cutoff of age:  -6.6875
Upper cutoff of age:  64.8125
     survived  pclass   sex   age  ...  deck  embark_town  alive  alone
33          0       2  male  66.0  ...   NaN  Southampton     no   True
54          0       1  male  65.0  ...     B    Cherbourg     no  False
96          0       1  male  71.0  ...     A    Cherbourg     no   True
116         0       3  male  70.5  ...   NaN   Queenstown     no   True
280         0       3  male  65.0  ...   NaN   Queenstown     no   True
456         0       1  male  65.0  ...     E  Southampton     no   True
493         0       1  male  71.0  ...   NaN    Cherbourg     no   True
630         1       1  male  80.0  ...     A  Southampton    yes   True
672         0       2  male  70.0  ...   NaN  Southampton     no   True
745         0       1  male  70.0  ...     B  Southampton     no  False
851         0       3  male  74.0  ...   NaN  Southampton     no   True

[11 rows x 15 columns]
   survived  pclass     sex   age  ...  deck  embark_town  alive  alone
0         0       3    male  22.0  ...   NaN  Southampton     no  False
1         1       1  female  38.0  ...     C    Cherbourg    yes  False
2         1       3  female  26.0  ...   NaN  Southampton    yes   True
3         1       1  female  35.0  ...     C  Southampton    yes  False
4         0       3    male  35.0  ...   NaN  Southampton     no   True

[5 rows x 15 columns]