如何使用 python 从 DataCamp 导出数据？

Question

I use DataCamp for the online learning of Python. Sometimes I would like to export the data used in the exercises, but I can't find an easy way to do so.

I know that there are instructions for downloading the videos or slides, and some courses provide some selected datasets for download in the course description. But how do I download data that I can access through the DataCamp exercise interface for export outside of the platform? Sometimes, the data used in the tutorial is processed and unmatched with the original data I download on the course page. Oftentimes, I need to do reverse engineering to make the local data as same as the data in the course interface before running my code and trying different things in my local environment, and it takes me a lot of time.

I tried pandas.DataFrame.to_csv , but I couldn't find the exported data if there was one.

I saw some can do this when learning R. Is there the same thing we can do in Python courses?

Answer 1

write.csv or dput in R write the dataframe to the console (and then you need to copy / paste the text to turn it into a csv.

If you want to do something similar you could try

no_rows = len(df) # number of rows of dataframe

pd.options.display.max_rows = no_rows

Depending on the no. of rows this can take a while and the copy/paste activity is quite cumbersome. A better approach might be to just extract a few rows so you understand the structure of the dataframe that's been processed in order to run the code with your own datasets (simulated or different ones).

Answer 2

df.to_csv() gives you a string you can copy into your local editor. Then look for \\\\n and replace all with \\n . Save your file as csv.