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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_approx.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_approx.py')
-rw-r--r--doc/source/user/plot_approx.py19
1 files changed, 0 insertions, 19 deletions
diff --git a/doc/source/user/plot_approx.py b/doc/source/user/plot_approx.py
deleted file mode 100644
index a2d6981d9..000000000
--- a/doc/source/user/plot_approx.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_gray = img_array @ [0.2126, 0.7152, 0.0722]
-
-U, s, Vt = linalg.svd(img_gray)
-
-Sigma = np.zeros((768, 1024))
-for i in range(768):
- Sigma[i, i] = s[i]
-
-k = 10
-
-approx = U @ Sigma[:, :k] @ Vt[:k, :]
-plt.imshow(approx, cmap="gray")