WebBecause np.nan and np.NaN refer to the same object i.e. (np.nan is np.nan is np.NaN) == True this equality holds [np.nan] == [np.nan], but on the other hand float ('nan') function creates a new object on every call so [float ('nan')] == [float ('nan')] is False. Pandas/Numpy do not have this problem: WebInteractive UI. Run np without arguments to launch the interactive UI that guides you through publishing a new version.. Config. np can be configured both globally and locally. When using the global np binary, you can configure any of the CLI flags in either a .np-config.js (as CJS), .np-config.cjs, .np-config.mjs, or .np-config.json file in the home …
python - Pandas/Numpy NaN None comparison - Stack Overflow
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numpy.where() - thisPointer
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