DOC: spell out low_memory split-value hazard in read_csv/read_table#65636
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Expand the low_memory parameter blurb to describe the practical consequence of per-chunk type inference: the same literal can land in the resulting object-dtype column as both an int and a str, so equality checks match only a subset of the rows. Points users at DtypeWarning. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
mroeschke
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May 16, 2026
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Thanks @jbrockmendel |
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closes #22194
Summary
low_memoryparameter docstring in :func:read_csvand :func:read_tableto describe the practical consequence of per-chunk type inference: the same literal can land in the resultingobject-dtype column as both anintand astr, so equality /drop_duplicates/isinonly match a subset of the rows holding that value.~pandas.errors.DtypeWarning, whose own docstring already has a worked example.Notes
DtypeWarningclass docstring covers it, but theread_csvparameter blurb (the surface most users actually read) only said "possibly mixed type inference," which is too abstract to land.Test plan
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