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authormelissawm <melissawm.github@gmail.com>2022-10-03 16:33:03 -0300
committermelissawm <melissawm.github@gmail.com>2022-10-03 16:33:03 -0300
commit399e0e859ca7874bd068bc3667e86c8410ca7b53 (patch)
tree52bd0d291bce979d359aaa70201b104d60965ae5 /doc/source/user/plot_final.py
parent25ed0312cfbbddb60aa8f1491248f03f9eca5caa (diff)
downloadnumpy-399e0e859ca7874bd068bc3667e86c8410ca7b53.tar.gz
DOC, MAINT: Remove unused files
These files should be deleted, as they were used on the SVD Tutorial which is now hosted at numpy/numpy-tutorials. [skip azp][skip travis]
Diffstat (limited to 'doc/source/user/plot_final.py')
-rw-r--r--doc/source/user/plot_final.py19
1 files changed, 0 insertions, 19 deletions
diff --git a/doc/source/user/plot_final.py b/doc/source/user/plot_final.py
deleted file mode 100644
index 10cb097dd..000000000
--- a/doc/source/user/plot_final.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from scipy import misc
-import matplotlib.pyplot as plt
-import numpy as np
-from numpy import linalg
-
-img = misc.face()
-img_array = img / 255
-img_array_transposed = np.transpose(img_array, (2, 0, 1))
-
-U, s, Vt = linalg.svd(img_array_transposed)
-
-Sigma = np.zeros((3, 768, 1024))
-for j in range(3):
- np.fill_diagonal(Sigma[j, :, :], s[j, :])
-
-k = 10
-
-approx_img = U @ Sigma[..., :k] @ Vt[..., :k, :]
-plt.imshow(np.transpose(approx_img, (1, 2, 0)))