Baskadia

The error message "cannot mask with non-boolean array containing NA/NAN values" typically arises in data manipulation and analysis, often in the context of Python's NumPy or Pandas libraries. It indicates that you're attempting to apply a boolean mask to filter or select data from an array or DataFrame, but the mask contains non-boolean values, including 'NA' or 'NaN' (Not a Number). In these libraries, masks are expected to be boolean arrays, representing true or false conditions. To resolve this issue, ensure that your mask is constructed correctly with boolean values or use functions like pd.isna() or np.isnan() to handle missing or 'NaN' values in your data before applying the mask. https://windowscage.com/2023/09/23/valueerror-cannot-mask-with-non-boolean-array-containing-na-nan-values/