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np.nan in Pandas: Why missing values break comparisons
The post explains that np.nan is a special floating‑point value that propagates through arithmetic and never compares equal, even to itself. It shows how this breaks naïve equality checks in pandas and suggests using pandas' isna/notna utilities instead.
Lerner Consulting Bloglernerpython.com1 min
