NumPy数组中多余的尺寸
问题描述：
我打开了一个.fits图片:
I've opened a .fits image:
scaled_flat1 = pyfits.open('scaled_flat1.fit')
scaled_flat1a = scaled_flat1[0].data
当我打印其形状时:
print scaled_flat1a.shape
我得到以下信息:
(1, 1, 510, 765)
我希望它读为:
(510, 765)
如何摆脱之前的两个?
答
我假设scaled_flat1a是一个numpy数组?在这种情况下，它应该像reshape命令一样简单.
I'm assuming scaled_flat1a is a numpy array? In that case, it should be as simple as a reshape command.
import numpy as np
a = np.array([[[[1, 2, 3],
[4, 6, 7]]]])
print(a.shape)
# (1, 1, 2, 3)
a = a.reshape(a.shape[2:]) # You can also use np.reshape()
print(a.shape)
# (2, 3)