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]

6 files changed, 0 insertions, 84 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")
diff --git a/doc/source/user/plot_face.py b/doc/source/user/plot_face.py
deleted file mode 100644
index c0891e770..000000000
--- a/doc/source/user/plot_face.py
+++ /dev/null
@@ -1,5 +0,0 @@
-from scipy import misc
-import matplotlib.pyplot as plt
-
-img = misc.face()
-plt.imshow(img)
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)))
diff --git a/doc/source/user/plot_gray.py b/doc/source/user/plot_gray.py
deleted file mode 100644
index 6cb46bbe4..000000000
--- a/doc/source/user/plot_gray.py
+++ /dev/null
@@ -1,8 +0,0 @@
-from scipy import misc
-import matplotlib.pyplot as plt
-import numpy as np
-
-img = misc.face()
-img_array = img / 255
-img_gray = img_array @ [0.2126, 0.7152, 0.0722]
-plt.imshow(img_gray, cmap="gray")
diff --git a/doc/source/user/plot_gray_svd.py b/doc/source/user/plot_gray_svd.py
deleted file mode 100644
index 95439939d..000000000
--- a/doc/source/user/plot_gray_svd.py
+++ /dev/null
@@ -1,16 +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]
-
-plt.plot(s)
diff --git a/doc/source/user/plot_reconstructed.py b/doc/source/user/plot_reconstructed.py
deleted file mode 100644
index 37cf3c626..000000000
--- a/doc/source/user/plot_reconstructed.py
+++ /dev/null
@@ -1,17 +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, :])
-
-reconstructed = U @ Sigma @ Vt
-plt.imshow(np.transpose(reconstructed, (1, 2, 0)))