MaskedColumn
MaskedColumn is a data structure used in data processing and analysis, particularly in the context of dataframes and tabular data. It is designed to handle missing or masked data efficiently. A MaskedColumn is essentially a column in a dataframe that can contain both data values and a mask indicating the presence or absence of those values. The mask is a boolean array where True indicates that the corresponding data value is valid, and False indicates that the value is missing or invalid.
The primary advantage of using a MaskedColumn is its ability to preserve the structure of the data
MaskedColumns are often used in conjunction with other data processing libraries, such as NumPy and pandas,
In summary, MaskedColumn is a versatile data structure that enhances the handling of missing data in dataframes