Problemsby GlyphTrouble with pandas read
5 posts from 5 people5d activeFading, +0 this week
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The posts behind it
BUG: read_csv fails with TypeError: open() argument 'mode' must be str, not int (with LocalPath)
...: None IPython : None adbc-driver-postgresql: None adbc-driver-sqlite : None bs4 : None bottleneck : None fastparquet : None fsspec : None html5lib : None gcsfs : None jinja2 : None lxml.etree : None matplotlib : None numba : None numexpr : None odfpy : None openpyxl : None...
Add a `skip_blank_lines` option to `read_csv` / `scan_csv`
### Description Polars reads each literal blank line in a CSV as an all-null row: (polars 2.0.0. A trailing blank line at the end of the file is already ignored.) Other CSV readers skip blank lines: pandas `read_csv` has `skip_blank_lines=True` by default (returns 3 rows here),...
BUG: read_csv silently misparses Unicode thousands and decimal markers
Summary "read_csv" silently misinterprets Unicode thousands and decimal separators when using the C engine, producing incorrect numeric values without warning. Reproducible example from io import StringIO import pandas as pd for engine in ("c", "python"): a = pd.read_csv(...
CI: sanitizers environment has no pyarrow, so the read_csv pyarrow string path is never sanitized
The `sanitizers` environment has no pyarrow, so the one CI job that builds with `-Db_sanitize=address,undefined` cannot reach the `read_csv` pyarrow-backed string path at all. `pixi.toml`: `optional-dependencies` does not include pyarrow, and every other test environment lists...
pandas `read_pickle` RCE via Ungated `pickle.load` on the Documented Persistence Format
# pandas `read_pickle` RCE via Ungated `pickle.load` on the Documented Persistence Format ## Affected Component - **Package:** `pandas` (pandas-dev); **Module:** `pandas/io/pickle.py` - **Public API:** `pandas.read_pickle(filepath_or_buffer, compression='infer',...
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About this problem
Evidence
5 posts from 5 people in 2 places, about 1 a week over 62 days. Mostly on pandas-dev/pandas, pola-rs/polars. Tools named alongside: Polars, GitHub, PostgreSQL, SQLite.
Frustration Frustration 0 of 3· Seen on GitHub issues
How it was grouped
Posts about pandas with no known issue, sharing the word "read". First post Aug 29, 2026, latest Oct 29, 2026. Corroborated: 3 or more posts from 2 or more people or places. Method
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History