labels, the code forgenerate_examples()would look a bit different. Instead of iterating over all the files, you would need to (a) iterate over the rows in the csv file and (b) convert each row to a dictionary using.todict()— to create theexampleslist. See below for a dummy ...
Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy efflux_evaders_om_corrected['mol'] = efflux_evaders_om_corrected.SMILES.apply(Chem.MolFrom...
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PySpark UDFs work in a similar way as the pandas.map()and.apply()methods for pandas series and dataframes. If I have a function that can use values from a row in the dataframe as input, then I can map it to the entire dataframe. The only difference is that with PySpark UDFs I have...