From the course: Exploring Data Science with .NET using Polyglot Notebooks & ML.NET

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Exporting DataFrames

Exporting DataFrames

From the course: Exploring Data Science with .NET using Polyglot Notebooks & ML.NET

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Exporting DataFrames

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- [Instructor] When we make changes in our DataFrames, such as adding new columns with feature engineering or filtering out existing rows or replacing or dropping missing values, this doesn't modify the underlying data. And it's not unusual to do a lot of little data cleaning operations when you're preparing your data source for analysis or machine learning experiments. After you're done data cleaning, it's a good idea to export your DataFrame to a new data file. We can do this with the SaveCsv method on DataFrame. So I'm going to call DataFrame.SaveCsv, and I'm going to pass it the DataFrame I want to save, which is my merged DataFrame. I'm going to give it the path of the file I want to write it to. So I'm going to call this training.csv because we'll use this to train our machine learning models in a few modules from now. I can also specify a separator if I want to. But it defaults to comma. And I can specify whether a header row is included or not, which defaults to true. When I…

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