Webb12 maj 2012 · If you pick one of the curves in the close location to tangancy area, the OnPick function will be executed twice (2 curves) and will display 2 markers. I want to … Webb23 feb. 2024 · How to Capture a pick event and use it to activate or deactivate Line Plots in Matplotlib - After enabling the pick event property of artists in Matplotlib, the task is to use the pick event to enable and disable the line plots for a given axis in a set of plots.In order to pick a specific line plot, we use Legend.We will use a Binary classification plot to …

matplotlibでインタラクティブにプロットしたいんじゃ - Qiita

Webb12 maj 2012 · If you pick one of the curves in the close location to tangancy area, the OnPick function will be executed twice (2 curves) and will display 2 markers. I want to find the shortest distance from the pick location (mouse coord.) to a discrete point on the curve and draw marker on the curve at this location (only one). See the Webb6 nov. 2015 · I want to do the following, using matplotlib: Create a line between two points, by doing the following: i. Double click on canvas using Left button (first point created) ii. … dairy handout

Pick event demo 2 — Matplotlib 3.7.1 documentation

Webb6 dec. 2012 · Checking whether a click event is within a polygon or any other artist is a very common pattern. For this reason, matplotlib provides a built-in pickevent. You can think of this as an event similar to a mouse click, but specifically generated by a plot artist when it is clicked. Furthermore, a pickevent is associated back to that particular plot Webb4 nov. 2012 · Matplotlib Pick Event - twinx Community matplotlib-users Arek_KedziorNovember 4, 2012, 1:25am #1 Hi all, I am aware when using overlapping axes twinx I can only pick the objects in the active axes. I would like to pick objects (lines) in both axes. Does anyone have the workaround to this problem Regards, Arek Home … Webb13 maj 2012 · Use Pick event to get line segment (what function to use ?) Once I have line segment, get xdata, ydata corresponding to line segment (what function to use ?) I tied this approach as well Put all data points into numpy.array and each curve was separated by numpy.nan It worked but I was getting run-time warning in distance calculations. biosecurity login