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.

Sign up for GitHub

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

Jump to bottom

Support for multi type arrays #186

Open

saty9 opened this issue Jun 22, 2021 · 1 comment

Labels

saty9 commented Jun 22, 2021

It would be useful to support arrays with multiple data types like structured arrays https://numpy.org/doc/stable/user/basics.rec.html

This would be useful when dealing with for example timestamped data where you have a u64 timestamp in one column and x,y,z floats in 3 other columns.

kngwyu added the enhancement label

Member

kngwyu commented Jul 10, 2021

Thanks. I don't think it's easy to support, but definitely worth considering.

aldanor mentioned this issue

Supporting record arrays #229

Closed

adamreichold mentioned this issue

Enum Variants to Numpy Dtype #234

Closed

aldanor mentioned this issue

Discussion: dtype system and integrating record types #254

Closed

adamreichold mentioned this issue

Support array of &str / unicode_ / string #141

Closed

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment