python - What is inf and nan? - Stack Overflow
Jul 13, 2013 · inf is infinity - a value that is greater than any other value. -inf is therefore smaller than any other value. nan stands for Not A Number, and this is not equal to 0. Although …
supremum and infimum - What does the notation inf {...} mean ...
Jul 21, 2018 · This answer is a bit like Q “what does etc. mean” being answered with “etc. means et cetera.” I.e. factually correct but not really what the OP was seeking. If the OP knew what …
What is the point of float('inf') in Python? - Stack Overflow
Dec 14, 2015 · Just wondering over here, what is the point of having a variable store an infinite value in a program? Is there any actual use and is there any case where it would be preferable …
pandas - What does " -inf " mean in python? - Stack Overflow
Oct 12, 2021 · Closed 4 years ago. I am trying to find a mean of spesific column in a dataframe but I take -inf as a result what is that mean ?
Dropping infinite values from dataframes in pandas?
How do I drop nan, inf, and -inf values from a DataFrame without resetting mode.use_inf_as_null? Can I tell dropna to include inf in its definition of missing values so that the following works? df.
Proof that $\inf A = -\sup (-A)$ - Mathematics Stack Exchange
Prove that $\inf {A}=−\sup { (-A)}$. I think that the purpose of this question is to show you why it is not required to include the existence of infimum into the Axiom of Completeness.
Setting an int to Infinity in C++ - Stack Overflow
I have an int a that needs to be equal to "infinity". This means that if int b = anyValue; a>b is always true. Is there any feature of C++ that could make this possible?
Ignoring -Inf values in arrays using numpy/scipy in Python
I have an NxM array in numpy that I would like to take the log of, and ignore entries that were negative prior to taking the log. When I take the log of negative entries, it returns -Inf, so I will...
Replace all inf, -inf values with NaN in a pandas dataframe
Apr 2, 2021 · I have a large dataframe with inf, -inf values in different columns. I want to replace all inf, -inf values with NaN I can do so column by column. So this works: df['column name'] = …
XGBoost: Check failed: valid: Input data contains `inf` or `nan`
Jun 15, 2021 · XGBoost: Check failed: valid: Input data contains `inf` or `nan` Asked 4 years, 5 months ago Modified 2 years, 9 months ago Viewed 18k times