绘制四个象限 plot 一个散点 plot 使用 matplotlib

Question

I wish to plot a 2D scatter plot with values in the range [-0.5, 0.5] and [-0.5,0.5] for x and y coordinates respectively

fig1 = plt.figure(figsize=[7,7])
axes1 = fig1.add_axes([1,1,1,1])
axes1.set_xlabel("xlabel")
axes1.set_ylabel("ylabel")
axes1.set_title("Emotions Quadrants")
axes1.spines['left'].set_position(('axes', 0.5))
axes1.spines['bottom'].set_position(('axes', 0.5))
axes1.scatter(x_vals, y_vals, label="test")

above code scales and x and y coordinates according to to the data. I wish to show x and y coordinates from -0.5 to 0.5 equally spaced for both the axes and then plot the scatter graph

I wish to keep the axes intersecting at 0,0 and not scale according to the data points

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Edit by taking x and y values as xvals = [0.237, 0.415, -0.264, 0.142, -0.037, -0.088, -0.143, -0.332, 0.166, -0.079] y vals= [0.265, 0.325, -0.069, 0.086, -0.136, 0.124, -0.051, -0.052, 0.280, 0.121]

I am getting following plot with @r-beginners answer [enter image description here][2]

I want the origin to be in the center and points not scaled and not shift downward [2]: https://i.stack.imgur.com/lxGIs.png

Answer 1

If you set the axis to the desired range and the frame to the center, you will get the graph you want.

import matplotlib.pyplot as plt
import numpy as np

x_vals = np.linspace(-0.5,0.5,10)
y_vals = np.linspace(-0.5,0.5,10)

fig1 = plt.figure(figsize=[7,7])
axes1 = fig1.add_axes([-0.5,-0.5,0.5,0.5])
axes1.set_xlabel("xlabel", labelpad=110)
axes1.set_ylabel("ylabel", labelpad=110)
axes1.set_title("Emotions Quadrants")
axes1.spines[['top', 'right']].set_visible(False)
axes1.spines[['left','bottom']].set_position('center')

# axes1.spines['left'].set_position(('axes', 0.5))
# axes1.spines['bottom'].set_position(('axes', 0.5))

axes1.xaxis.set_ticks_position('bottom')
axes1.yaxis.set_ticks_position('left')

axes1.scatter(x_vals, y_vals, label="test")

plt.show()

Answer 2

IIUC,

x_vals = [0.237, 0.415, -0.264, 0.142, -0.037, -0.088, -0.143, -0.332, 0.166, -0.079] 
y_vals= [0.265, 0.325, -0.069, 0.086, -0.136, 0.124, -0.051, -0.052, 0.280, 0.121] 

fig1 = plt.figure(figsize=[7,7])
axes1 = fig1.add_axes([-0.5,-0.5,0.5,0.5])
axes1.set_xlabel("xlabel", labelpad=110)
axes1.set_ylabel("ylabel", labelpad=110)
axes1.set_title("Emotions Quadrants")
axes1.spines['right'].set_visible(False)
axes1.spines['top'].set_visible(False)

axes1.spines['left'].set_position(('axes', 0.5))
axes1.spines['bottom'].set_position(('axes', 0.5))

axes1.xaxis.set_ticks_position('bottom')
axes1.yaxis.set_ticks_position('left')

axes1.scatter(x_vals, y_vals, label="test")
axes1.set_ylabel('Arousal')
axes1.set_xlabel('Valence')

axes1.set_ylim(-.5,.5)
axes1.set_xlim(-.5,.5)

plt.show()

Output: