8000 matplotlib.cm.spectral no longer exists · Issue #10761 · scikit-learn/scikit-learn · GitHub
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jnothman opened this issue Mar 7, 2018 · 4 comments
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matplotlib.cm.spectral no longer exists #10761

jnothman opened this issue Mar 7, 2018 · 4 comments
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Documentation good first issue Easy with clear instructions to resolve help wanted

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@jnothman
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jnothman commented Mar 7, 2018 •
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It was a deprecated alias for nipy_spectral (see matplotlib/matplotlib#7416). It seems to have been removed in the last release of matplotlib (2.2.0), causing some of our examples to fail.
@jnothman jnothman added Documentation good first issue Easy with clear instructions to resolve help wanted labels Mar 7, 2018
@jnothman
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jnothman commented Mar 7, 2018

From the Cir 8000 cleCI logs:

Unexpected failing examples:
/home/circleci/project/examples/cluster/plot_coin_segmentation.py failed leaving traceback:
Traceback (most recent call last):
  File "/home/circleci/project/examples/cluster/plot_coin_segmentation.py", line 75, in <module>
    colors=[plt.cm.spectral(l / float(N_REGIONS))])
AttributeError: module 'matplotlib.cm' has no attribute 'spectral'


/home/circleci/project/examples/cluster/plot_kmeans_silhouette_analysis.py failed leaving traceback:
Traceback (most recent call last):
  File "/home/circleci/project/examples/cluster/plot_kmeans_silhouette_analysis.py", line 98, in <module>
    color = cm.spectral(float(i) / n_clusters)
AttributeError: module 'matplotlib.cm' has no attribute 'spectral'


/home/circleci/project/examples/cluster/plot_digits_agglomeration.py failed leaving traceback:
Traceback (most recent call last):
  File "/home/circleci/project/examples/cluster/plot_digits_agglomeration.py", line 57, in <module>
    interpolation='nearest', cmap=plt.cm.spectral)
AttributeError: module 'matplotlib.cm' has no attribute 'spectral'


/home/circleci/project/examples/decomposition/plot_pca_iris.py failed leaving traceback:
Traceback (most recent call last):
  File "/home/circleci/project/examples/decomposition/plot_pca_iris.py", line 53, in <module>
    ax.scatter(X[:, 0], X[:, 1], X[:, 2], c=y, cmap=plt.cm.spectral,
AttributeError: module 'matplotlib.cm' has no attribute 'spectral'

/home/circleci/project/examples/cluster/plot_digits_linkage.py failed leaving traceback:
Traceback (most recent call last):
  File "/home/circleci/project/examples/cluster/plot_digits_linkage.py", line 90, in <module>
    plot_clustering(X_red, X, clustering.labels_, "%s linkage" % linkage)
  File "/home/circleci/project/examples/cluster/plot_digits_linkage.py", line 66, in plot_clustering
    color=plt.cm.spectral(labels[i] / 10.),
AttributeError: module 'matplotlib.cm' has no attribute 'spectral'


/home/circleci/project/examples/cluster/plot_agglomerative_clustering.py failed leaving traceback:
Traceback (most recent call last):
  File "/home/circleci/project/examples/cluster/plot_agglomerative_clustering.py", line 68, in <module>
    cmap=plt.cm.spectral)
AttributeError: module 'matplotlib.cm' has no attribute 'spectral'


/home/circleci/project/examples/cluster/plot_kmeans_stability_low_dim_dense.py failed leaving traceback:
Traceback (most recent call last):
  File "/home/circleci/project/examples/cluster/plot_kmeans_stability_low_dim_dense.py", line 111, in <module>
    color = cm.spectral(float(k) / n_clusters, 1)
AttributeError: module 'matplotlib.cm' has no attribute 'spectral'


/home/circleci/project/examples/cluster/plot_coin_ward_segmentation.py failed leaving traceback:
Traceback (most recent call last):
  File "/home/circleci/project/examples/cluster/plot_coin_ward_segmentation.py", line 66, in <module>
    colors=[plt.cm.spectral(l / float(n_clusters)), ])
AttributeError: module 'matplotlib.cm' has no attribute 'spectral'

@qinhanmin2014 qinhanmin2014 mentioned this issue Mar 7, 2018
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@jsacharuk jsacharuk mentioned this issue May 31, 2018
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@divya-vakil
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I am also facing issue with the following PCA example:

http://scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html

@jnothman
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Sorry we have been slow to release

@CaiqueCoelho
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You can do this:
cmap = cm.get_cmap("Spectral")
colors = cmap(a / b)

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