flasc.utilities.tuner_utilities.replicate_nan_values#
- flasc.utilities.tuner_utilities.replicate_nan_values(df_1, df_2)[source]#
Replicate NaN Values in DataFrame df_2 to Match DataFrame df_1.
For columns that are common between df_1 and df_2, this function ensures that NaN values in df_2 appear in the same locations as NaN values in df_1. This is primarily useful when df_2 represents a FLORIS resimulation of df_1, and you want to ensure that missing data is consistent between the two DataFrames.
- Parameters:
df_1 (pandas.DataFrame) -- The reference DataFrame containing NaN values.
df_2 (pandas.DataFrame) -- The DataFrame to be updated to match NaN positions in df_1.
- Returns:
A new DataFrame with NaN values in df_2 replaced to match df_1.
- Return type:
pandas.DataFrame