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Hi all,
Currently, I need to add a data-type (type) param in creat_report() like as plot() function. This data type can help me generate report with numerical/categorical features without affecting "Distinct Count".
This image below was automatically generated by creat_report. However, my expected output is numerical stats and visualization.
My expected feature:
dttype = {c: "Continuous" for c in dataframe.columns}
creat_report(dataframe, dtype=dttype)
Any solution to my problem, please support me. Thanks
The text was updated successfully, but these errors were encountered:
I see. So it seems DataPrep automatically identified your columns as categorical. May I ask what is the output of dataframe.dtypes?
I cast all dtype of dataframe.dtypes to float before creating report. In e.g above, I attempted to cast "Continous", but it does not work
I guess that DataPrep automatically identifies a feature is numerical or categorical based on "distinct count" and "data type". I am not sure about this.
Hi all,
Currently, I need to add a data-type (type) param in
creat_report()
like asplot()
function. This data type can help me generate report with numerical/categorical features without affecting "Distinct Count".This image below was automatically generated by
creat_report
. However, my expected output is numerical stats and visualization.My expected feature:
Any solution to my problem, please support me. Thanks
The text was updated successfully, but these errors were encountered: