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floating point - Why is NaN not equal to NaN? - Stack Overflow
NaN is designed to propagate through all calculations, infecting them like a virus, so if somewhere in your deep, complex calculations you hit upon a NaN, you don't bubble out a seemingly …
python - How to check for NaN values - Stack Overflow
float('nan') represents NaN (not a number). But how do I check for it?
What is NaN (Not a Number) in the words of a beginner?
Dec 14, 2019 · What is a NaN value or NaN exactly (in the words of a non-math professor)? Let's suppose you're working with real numbers - numbers like 1, π, e, -137, 6.626, etc. In the land …
NaN是什么 NaN == NaN 的结果是什么?为什么? - 知乎
NaN与任何其他值（包括NaN本身）进行比较的结果都是false，包括NaN == NaN。 这是因为NaN被定义为不等于任何其他值，甚至不等于它自己。 这是由于NaN的特殊性质导致的。 …
How do you check that a number is NaN in JavaScript?
Apr 16, 2010 · @Gothdo: sure, but I did ask how to check that a number is NaN, as opposed to any value.
What's the difference between nan, NaN and NAN - Stack Overflow
Jul 24, 2013 · In numpy there are nan, NaN and NAN. What's the sense of having all three, do they differ or any of these can be used interchangeably?
What is the difference between NaN and None? - Stack Overflow
Jul 9, 2013 · NaN can be used as a numerical value on mathematical operations, while None cannot (or at least shouldn't). NaN is a numeric value, as defined in IEEE 754 floating-point …
python - better way to drop nan rows in pandas - Stack Overflow
Apr 2, 2016 · On my own I found a way to drop nan rows from a pandas dataframe. Given a dataframe dat with column x which contains nan values,is there a more elegant way to do drop …
math - How to use nan and inf in C? - Stack Overflow
Dec 18, 2009 · 123 I have a numerical method that could return nan or inf if there was an error, and for testing purposed I'd like to temporarily force it to return nan or inf to ensure the …
Python pandas Filtering out nan from a data selection of a column …
Without using groupby how would I filter out data without NaN? Let say I have a matrix where customers will fill in 'N/A','n/a' or any of its variations and others leave it blank: import pandas …
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