Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Notebook crashes because of high memory consumption due missing dtypes #3

Open
banderlog opened this issue Mar 18, 2021 · 0 comments
Open

Comments

@banderlog
Copy link

The notebook throws similar errors in different cells:

DtypeWarning: Columns (4,5,7,11) have mixed types.Specify dtype option on import or set low_memory=False.
  if (await self.run_code(code, result,  async_=asy)):

Why it is bad: https://stackoverflow.com/questions/24251219/pandas-read-csv-low-memory-and-dtype-options

All dtypes listed in the official MIMIC-III documentation, e.g.: https://mimic.physionet.org/mimictables/admissions/

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant