python - 我怎样才能看到 matshow 中的比例尺？

Question

想在matshow中看到比例尺，找了好久没找到答案。我怎么做？

代码很简单:

def analyze_results():
    l_points = [np.array([10, 9, -1]), np.array([-4, 4, 1]), np.array([-6, 2, -1]), np.array([ 7, -2, 1]), np.array([-3, 2, -1]), np.array([ 3, -5, -1]), np.array([-5, 10, 1]), np.array([-10, 9, -1]), np.array([ 4, -4, 1]), np.array([-4, 7, 1])]
    num_elemnts = 2 * const_limit + 1
    loss = np.zeros((num_elemnts, num_elemnts))
    for i in range(-const_limit, const_limit + 1):
        for j in range(-const_limit, const_limit + 1):
            if ((i == 0) & (j == 0)):
                continue
            w = (i, j)
            loss[i, j] , _ = gradient_hinge_loss(l_points, w)

    return loss

if __name__ == '__main__':
    loss_hinge_debugger = analyze_results()
    plt.matshow(loss_hinge_debugger)
    plt.show()

Answer 1

据我所知scale bar不是 matplotlib 的 native 函数的一部分。你可以做到这一点，想，通过使用 matplotlib-scalebar .在链接中，您将找到一个代码示例:

import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
from matplotlib_scalebar.scalebar import ScaleBar
plt.figure()
image = plt.imread(cbook.get_sample_data('grace_hopper.png'))
plt.imshow(image)
scalebar = ScaleBar(0.2) # 1 pixel = 0.2 meter
plt.gca().add_artist(scalebar)
plt.show()

，结果应该是这样的:

我还没有尝试过(我没有安装那个库)但是从 pip 安装应该很容易:

pip install matplotlib-scalebar

以防万一您正在寻找 colorbar (错误确实会发生)你可以使用这个:

plt.colorbar()

，与 matshow 一起(改编自 here 的示例):

import matplotlib.pyplot as plt

def samplemat(dims):
    """Make a matrix with all zeros and increasing elements on the diagonal"""
    aa = np.zeros(dims)
    for i in range(min(dims)):
        aa[i, i] = i
    return aa

# Display 2 matrices of different sizes
dimlist = [(12, 12), (15, 35)]
#for d in dimlist:
plt.matshow(samplemat(dimlist[0]))
plt.colorbar()

plt.show()

, 会产生这样的结果: