Understanding and Handling NaN Values in Meteorological Data Processing with Python
Introduction The underlying data operations of xarray are implemented using NumPy. Missing values or NaN values are represented as np.nan in NumPy. Therefore, to handle NaN values, we must understand their characteristics and how to operate on them. In this issue, we will discuss the characteristics and handling of NaN values using xarray, as well … Read more