# Making Sure the Graphs I Plot is Correct

**URL:** <https://discourse.julialang.org/t/making-sure-the-graphs-i-plot-is-correct/84626>\
**Category:** General Usage\
**Tags:** pyplot, plots, gr\
**Created:** [July 22, 2022, 6:44am UTC](https://discourse.julialang.org/t/making-sure-the-graphs-i-plot-is-correct/84626 "2022-07-22T06:44:20Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![nilshg](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/nilshg/32/2283_2.png) [@nilshg](https://discourse.julialang.org/u/nilshg)\
**Post date:** [July 22, 2022, 9:08am UTC](https://discourse.julialang.org/t/making-sure-the-graphs-i-plot-is-correct/84626/2 "2022-07-22T09:08:09Z")

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On (3) you can just do `xticks = -9:0.2:9`.

(1) and (2) aren’t really questions for a plotting package, but for packages which implement methods to find saddle points or extrema - just have a google around or search this forum to find discussions like

> [@Finding saddle point](https://discourse.julialang.org/t/finding-saddle-point/21168/7):
>
> @cortner note that this problem has an explicit saddle separation: min\_x max\_y f(x,y). That simplifies things a lot, and might actually be a good basis to think about robust algorithms @amrods essentially yes. But you don’t know how to compute derivatives of F(x) = |nabla f(x)| so you don’t want to do a Newton-like iteration. Also Newton doesn’t see minima, saddles or maxima, it just sees critical points (and so if you start near a minimum it will converge to that). OTOH flipped gradient iterat…

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