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.

You approach the limit inferior (lim inf) similarly, to find that liminf can be viewed as the supremum of the infima. The more intuitive approach to this, as mentioned on other pages on Stack …

You mean to say lim sup consist of people of second and third category as you described and lim inf consist of third category of people. Right ?

Debugging 1.#IND, 1.#INF, nan, and inf If your operation would generate a larger positive number than could be stored in a double, the operation will return 1.#INF on Windows or inf on Linux.

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 …

If set $A$ is bounded below by some constant $k$ so that $x \geq k$ for all $x \in A$ then $\inf A$ exists. The existence of $m_ {A}$ is not guaranteed even in this case.

In Windows Vista and Windows 7 there a new utility for handling drivers setup call PnPUtil. It handles exactly this kind of work. Just copy all your driver relevant files (*.inf, *.cat, *.sys) to a …

That's not quite right, because there may not be any smallest number to divide by. An infimum is not always attained.

Do you want to remove the rows with NaN and -inf or set them to default values?

Prove that $\sup (C) = \sup (A)\sup (B)$ and $\inf (C) = \inf (A)\inf (B)$ Ask Question Asked 11 years, 9 months ago Modified 3 years, 2 months ago