fill_missing_values¶
- pyeem.preprocessing.filters.fill_missing_values(eem_df, fill)¶
Fills NA/NAN values within an excitation-emission matrix with a user-selectable value.
- Parameters
eem_df (pandas.DataFrame) – An excitation-emission matrix.
fill (str) – The value to replace NA/NAN values with.
- Raises
ValueError – Raised if fill passed value other than “zeros” or “interp”.
- Returns
An excitation-emission matrix with missing values filled in.
- Return type
pandas.DataFrame