Skip to content

non-64-bit Indexes? #19609

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

Closed
jbrockmendel opened this issue Feb 9, 2018 · 3 comments
Closed

non-64-bit Indexes? #19609

jbrockmendel opened this issue Feb 9, 2018 · 3 comments
Labels
Dtype Conversions Unexpected or buggy dtype conversions Indexing Related to indexing on series/frames, not to indexes themselves

Comments

@jbrockmendel
Copy link
Member

ser = pd.Series(np.arange(10, dtype=np.float128))
>>> ser.dtype
dtype('float128')

>>> pd.Index(ser).dtype
dtype('float64')

This makes dispatching Series ops for non-64 dtypes problematic. Is there a reason for enforcing only-64?

@jreback
Copy link
Contributor

jreback commented Feb 9, 2018

we don’t support this as it’s somewhat platform dependent

@jreback jreback added Indexing Related to indexing on series/frames, not to indexes themselves Dtype Conversions Unexpected or buggy dtype conversions labels Feb 9, 2018
@jreback jreback added this to the No action milestone Feb 9, 2018
@jreback
Copy link
Contributor

jreback commented Feb 9, 2018

not necessarily objecting, but this would be tremendous work for very little gain.

@jreback jreback closed this as completed Feb 9, 2018
@toobaz
Copy link
Member

toobaz commented Feb 11, 2018

See #16404

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Dtype Conversions Unexpected or buggy dtype conversions Indexing Related to indexing on series/frames, not to indexes themselves
Projects
None yet
Development

No branches or pull requests

3 participants