lace(&#39;DoNotUse&#39;, value=-1, inplace=True)
        targinterps_df[target_col].fillna(value=-2, inplace=True)
        targinterps_df[target_col].astype(np.int8)

    df_targ = pd.merge(well_data_df, targinterps_df.set_index(interp_col), right_on=interp_col, left_on=&#39;LITHOLOGY&#39;, how=&#39;left&#39;)
    
    return df_targ</code></pre>
</details>
</dd>
<dt id="w4h.classify.remerge_data"><code class="name flex">
<span>def <span class="ident">remerge_data</span></span>(<span>classifieddf, searchdf)