Skip to content

FIX: Solving Int64 precision loss when read_csv(StringIO(data), dtype… #56251

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
wants to merge 3 commits into from
Closed
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion pandas/io/parsers/arrow_parser_wrapper.py
Original file line number Diff line number Diff line change
Expand Up @@ -272,7 +272,7 @@ def read(self) -> DataFrame:
raise ParserError(e) from e

dtype_backend = self.kwds["dtype_backend"]

# Convert all pa.null() cols -> float64 (non nullable)
# else Int64 (nullable case, see below)
if dtype_backend is lib.no_default:
Expand Down