From the question, it sounds like you want a single graph with several delineated regions with a specific xy range. This is pretty straightforward to do. You can always just draw lines on the plot to delineate the regions of interest. Here is a quick example based on your stated objectives:

Aug 17, 2021 · Learn how to create this classic chart with Python and matplotlib. The four-quadrant chart, or “business matrix” as it’s sometimes called, is widely used in a business setting. You’ve almost...

Mar 26, 2019 · Use ax.set_ylim(-200, 50) (for example) to change the axis limits. You can also do your range over way fewer points, like range(-10, 10), and it'll be much faster for this example. You can also delete the set_ticks_position as those are the defaults.

Jan 3, 2018 · I am trying to plot four colored quadrants on a plot with a range of [-0.2,1.4] and [-0.2,1.4]. The issue is I'm having trouble trying to line up the y axis coordinates of the quadrants using plt.axvspan:

Nov 30, 2022 · After going through the 3 codes, you’d have a good idea about the basic implementation of a basic four quadrant graph using python libraries such as pandas, matplotlib, and seabird.

A simple way to create a four-quadrant graph without the use of subplots.#quadrant #python #matplotlibimport matplotlib.pyplot as pltimport numpy as npx = [-...

Jun 2, 2024 · Drawing quadrants in Python is a straightforward task that involves using the `matplotlib.pyplot` module to create a grid and then plotting lines to divide the grid into four sections or quadrants. This is particularly useful in mathematical and scientific visualizations, especially when dealing with Cartesian coordinates.

Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples. Plots of pairwise (x, y), tabular (v a r _ 0, ⋯, v a r _ n), and functional f (x) = y data. Plots of the distribution of at least one variable in a dataset.

Aug 10, 2021 · started learning how to plot data on python and I need help achieving the following: I have the following example df6: 'emails': [50, 60 ,30, 40, 90, 10, 0,85 ], 'delivered': [20, 16 ,6, 15, 66, 6, 0,55 ] }) Looks like: emails delivered. I need to plot emails VS delivered in a …

Feb 3, 2021 · Explaining what is Quadrant Analysis and where is it employed. Step by step guide on how to do it in python using pandas, matplotlib and seaborn libraries.