How to create more random rows for a Pandas Dataframe?

Suppose I have a Pandas Dataframe, with only one row, which looks something like this:-

      Column1 Column2 ...... Column n
Row 1 0.123  0.234.          0.156

Now, for instance, I want to generate 10 more rows for this, one way is to just duplicate this row 10 times. But, I want it to be coherent Mathematically and logical, such that the 10 more rows generated follow the normal distribution for example (though the problem is there is only 1 row), but do not want all rows to be the same. Is there any suitable way to generate more random rows based on this single row, such that the rows are not just plain duplicates?