![]() ![]() The same techniques from steps 1-4 could be used to create the temperature and wet bulb max boundaries. Here we add to the original formula to only include values of the line between x=55 and 5=60. ![]() If we want to restrict the line to only the segment making the bottom of our ideal operation box, we can leverage the within function in formula to clip the line at values we specify. The equation for this "horizontal" line on the xy plot is:Ģ. here (0,0)) doesn't actually need to be in your data or plotting range. To plot xy: ax.axline ( (0, 0), slope1) You don't need to look at your data to use this because the point you specify (i.e. This can be achieved using a y=mx+b formula with a very small slope, and a y-intercept of 65. You should see a graph similar to this: Now we can see the straight line of the fit, but we do not know what the parameters of the equation are. Starting with matplotlib 3.3 this has been made very simple with the axline method which only needs a point and a slope. For this first step, we will create a ~horizontal line on the scatter plot at y=65. We can do this utilizing Seeq's ability to display formulas overlaid against an xy plot.ġ. In this example, we want to draw a rectangle on the xy plot showing the ideal region of operation, like below. Sometimes when looking at an xy plot, it can be helpful to use lines to designate regions of the chart that you'd like users to focus on. 2 Answers Sorted by: 1 Add plt.xlim ( (0, 25)) restricts x axis from 0 to 25 plt.ylim ( (0, 25)) restricts x axis from 0 to 25 plt.plot ( 0, 25, 0, 25) plots line y x before plt. ![]()
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