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fix: keep NaN distinct from NULL in float columns when pandas is enabled #3486

Job	Run time
check-linting (3.11)	16s
check-types (3.14)	21s
check-linting (3.14)	19s
check-types (3.12)	20s
check-linting (3.12)	16s
Unit Tests + Kernel (Python 3.10)	2m 49s
check-linting (3.10)	17s
Unit Tests + Kernel (Python 3.11)	2m 44s
check-linting (3.13)	18s
Unit Tests + PyArrow (Python 3.12, default deps)	2m 59s
Unit Tests + Kernel (Python 3.13)	3m 3s
Unit Tests + PyArrow (Python 3.14, min deps)	3m 10s
Unit Tests + Kernel (Python 3.12)	2m 50s
check-types (3.13)	18s
check-types (3.11)	15s
Unit Tests + PyArrow (Python 3.11, min deps)	2m 49s
Unit Tests (Python 3.14, min deps)	2m 12s
Unit Tests (Python 3.11, default deps)	2m 8s
Unit Tests + Kernel (Python 3.14)	2m 57s
Unit Tests + PyArrow (Python 3.10, default deps)	2m 59s
Unit Tests + PyArrow (Python 3.14, default deps)	2m 52s
check-types (3.10)	17s
Unit Tests (Python 3.12, default deps)	2m 9s
Unit Tests (Python 3.13, default deps)	2m 10s
Unit Tests (Python 3.11, min deps)	2m 4s
Unit Tests (Python 3.14, default deps)	2m 14s
Unit Tests (Python 3.10, default deps)	2m 7s
Unit Tests + PyArrow (Python 3.11, default deps)	2m 51s
Unit Tests + PyArrow (Python 3.10, min deps)	2m 53s
Unit Tests + PyArrow (Python 3.13, default deps)	2m 51s
Unit Tests (Python 3.10, min deps)	2m 7s
	57m 55s