Is your feature request related to a problem? Please describe.
Hello, is there a way to get a full list of columns in the constraint column of the checkResultsAsDataFrame dataframe? I am trying to join the VerificationResult.checkResultsAsDataFrame with VerificationResult.successMetricsAsDataFrame but it is impossible unless I can get a full list of the columns used for each constraint in checkResultsAsDataFrame. If there is a multicolumn constraint, the check value is Stream(column1, ?) so I can't see all the columns. This is very frustrating because I need all the values from both dataframes to give the best results on my project. I have attached a photo showing the stream example.
Describe the solution you'd like
The most ideal solution would be a dataframe with the all the columns from both successMetrics and checkResults. If that can't be done, if you could allow a full list of column names in the constraint column instead of stream, I think I can manipulate it to join.
Is your feature request related to a problem? Please describe. Hello, is there a way to get a full list of columns in the constraint column of the checkResultsAsDataFrame dataframe? I am trying to join the VerificationResult.checkResultsAsDataFrame with VerificationResult.successMetricsAsDataFrame but it is impossible unless I can get a full list of the columns used for each constraint in checkResultsAsDataFrame. If there is a multicolumn constraint, the check value is Stream(column1, ?) so I can't see all the columns. This is very frustrating because I need all the values from both dataframes to give the best results on my project. I have attached a photo showing the stream example.
Describe the solution you'd like
The most ideal solution would be a dataframe with the all the columns from both successMetrics and checkResults. If that can't be done, if you could allow a full list of column names in the constraint column instead of stream, I think I can manipulate it to join.
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