Missing Values

Some functions in IMSL Library for Python (PyNL) allow the data to contain missing values. These functions recognize as a missing value the special value referred to as “not a number” (NaN). The actual value varies depending on the system, but it can be obtained by reference to the NumPy value numpy.nan).

PyNL treats missing values based on the individual function, as described in the documentation for each function.