Matplotlib垂直拉伸直方图
我正在使用此代码:
fig = plt.figure(num=2, figsize=(8, 8), dpi=80,
facecolor='w', edgecolor='k')
x, y = [xy for xy in zip(*self.pulse_time_distance)]
H, xedges, yedges = np.histogram2d(x, y, bins=(25, 25))
extent = [-50, +50, 0, 10]
plt.imshow(H, extent=extent, interpolation='nearest')
plt.colorbar()
要生成2D直方图，但是该图是垂直拉伸的，我根本无法弄清楚如何正确设置其大小:
to produce a 2D histogram, however, the plot is stretched vertically and I simply can't figure out how to set its size properly:
由于您正在使用 imshow ，因此事情被拉伸了".默认情况下，假定您要显示图像的纵横比为1(在数据坐标中).
Things are "stretched" because you're using imshow. By default, it assumes that you want to display an image where the aspect ratio of the plot will be 1 (in data coordinates).
如果要禁用此行为，并且使像素拉伸以填充图，只需指定 aspect ="auto" .
If you want to disable this behavior, and have the pixels stretch to fill up the plot, just specify aspect="auto".
例如，要重现您的问题(基于您的代码段):
For example, to reproduce your problem (based on your code snippet):
import matplotlib.pyplot as plt
import numpy as np
# Generate some data
x, y = np.random.random((2, 500))
x *= 10
# Make a 2D histogram
H, xedges, yedges = np.histogram2d(x, y, bins=(25, 25))
# Plot the results
fig, ax = plt.subplots(figsize=(8, 8), dpi=80, facecolor='w', edgecolor='k')
extent = [-50, +50, 0, 10]
im = ax.imshow(H, extent=extent, interpolation='nearest')
fig.colorbar(im)
plt.show()
我们可以通过在 imshow 调用中添加 aspect ="auto" 来解决此问题:
And we can fix it by just adding aspect="auto" to the imshow call:
import matplotlib.pyplot as plt
import numpy as np
# Generate some data
x, y = np.random.random((2, 500))
x *= 10
# Make a 2D histogram
H, xedges, yedges = np.histogram2d(x, y, bins=(25, 25))
# Plot the results
fig, ax = plt.subplots(figsize=(8, 8), dpi=80, facecolor='w', edgecolor='k')
extent = [-50, +50, 0, 10]
im = ax.imshow(H, extent=extent, interpolation='nearest', aspect='auto')
fig.colorbar(im)
plt.show()