8000 MNT Accelerate_examples plot_digits_linkage.py by siavrez · Pull Request #21737 · scikit-learn/scikit-learn · GitHub
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MNT Accelerate_examples plot_digits_linkage.py #21737

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Merged
merged 3 commits into from
Nov 26, 2021
Merged

MNT Accelerate_examples plot_digits_linkage.py #21737

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46ba348
Accelerate_examples Changing matplotlib.text with matplotlib.scatter …
siavrez Nov 21, 2021
6748650
Accelerate plot_digits_linkage.py changing proposed names and changin…
siavrez Nov 22, 2021
0a99d08
change back docstring to original state
siavrez Nov 25, 2021
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17 changes: 9 additions & 8 deletions examples/cluster/plot_digits_linkage.py
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Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,8 @@

from sklearn import manifold, datasets

X, y = datasets.load_digits(return_X_y=True)
digits = datasets.load_digits()
X, y = digits.data, digits.target
n_samples, n_features = X.shape

np.random.seed(0)
Expand All @@ -50,13 +51,13 @@ def plot_clustering(X_red, labels, title=None):
X_red = (X_red - x_min) / (x_max - x_min)

plt.figure(figsize=(6, 4))
for i in range(X_red.shape[0]):
plt.text(
X_red[i, 0],
X_red[i, 1],
str(y[i]),
color=plt.cm.nipy_spectral(labels[i] / 10.0),
fontdict={"weight": "bold", "size": 9},
for digit in digits.target_names:
plt.scatter(
*X_red[y == digit].T,
marker=f"${digit}$",
s=50,
c=plt.cm.nipy_spectral(labels[y == digit] / 10),
alpha=0.5,
)

plt.xticks([])
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