Hi! I can not write the test data to the .csv, the following error appears: in NDFrame.to_csv(self, path_or_buf, sep, na_rep, float_format, columns, header, index, index_label, mode, encoding, compression, quoting, quotechar, line_terminator, chunksize, date_format, doublequote, escapechar, decimal, errors, storage_options) 3540 df = self if isinstance(self, ABCDataFrame) else self.to_frame() 3542 formatter = DataFrameFormatter( 3543 frame=df, 3544 header=header, (...) 3548 decimal=decimal, 3549 ) -> 3551 return DataFrameRenderer(formatter).to_csv( 3552 path_or_buf, 3553 line_terminator=line_terminator, 3554 sep=sep, 3555 encoding=encoding, 3556 errors=errors, 3557 compression=compression, 3558 quoting=quoting, 3559 columns=columns, 3560 index_label=index_label, ... 1103 "can only insert Interval objects and NA into an IntervalArray" 1104 ) 1105 return left, right TypeError: can only insert Interval objects and NA into an IntervalArray inputs_test.s Can I have the .csv files that were the output of this module, so I can continue with the next module? Thanks! Especially loan_data_inputs_test.csv

Thanks, Aditya! Yeah, after some investigation I have done the same, just dropped the 'category' columns.

I have the same issue... Have you found out what causes it??

Try to remove the columns with the type 'category'. You can use the following code to store categorical columns in a variable: category_cols = [col for col in df_inputs.columns if df_inputs[col].dtypes == 'category'] print(df_inputs[category_cols]) The following code will remove these columns: df_inputs_copy = df_inputs.drop(category_cols, axis=1) Hope you find this helpful.