Dev docs nilearn/nilearn@bb3484f : [MAINT] Handle 2 numpy and matplol…

…ib deprecation warnings (#4522) * do not use matrix subclass * rm deprecation warnings * check if matplolib installed * use tight_layout * rm helper function
nilearn · Sep 5, 2024 · 73c47b6 · 73c47b6
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diff --git a/dev/_downloads/0140eeb6da671d73b808df162f8895e8/plot_simulated_data.zip b/dev/_downloads/0140eeb6da671d73b808df162f8895e8/plot_simulated_data.zip
diff --git a/dev/_downloads/04502003935d64eedeb72956946fe91b/plot_nilearn_101.zip b/dev/_downloads/04502003935d64eedeb72956946fe91b/plot_nilearn_101.zip
diff --git a/dev/_downloads/078678c45812ee1e319ed2d2c21c554f/plot_python_101.zip b/dev/_downloads/078678c45812ee1e319ed2d2c21c554f/plot_python_101.zip
diff --git a/dev/_downloads/07bd43f5f35abcb693398fbe82adc61d/plot_oasis_vbm.zip b/dev/_downloads/07bd43f5f35abcb693398fbe82adc61d/plot_oasis_vbm.zip
diff --git a/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
diff --git a/dev/_downloads/09c9580584f4e64ef9778ef8f3417e60/plot_resample_to_template.zip b/dev/_downloads/09c9580584f4e64ef9778ef8f3417e60/plot_resample_to_template.zip
diff --git a/dev/_downloads/0b08503308b188b3029a4de1b9022119/plot_visualization.zip b/dev/_downloads/0b08503308b188b3029a4de1b9022119/plot_visualization.zip
diff --git a/dev/_downloads/12e9d2a7add7eab2059f4f619ad12621/plot_data_driven_parcellations.zip b/dev/_downloads/12e9d2a7add7eab2059f4f619ad12621/plot_data_driven_parcellations.zip
diff --git a/dev/_downloads/2442f69e6be8788c989e28093310602e/plot_second_level_two_sample_test.zip b/dev/_downloads/2442f69e6be8788c989e28093310602e/plot_second_level_two_sample_test.zip
diff --git a/dev/_downloads/24646bf88295d9b694826f1c88efdaf9/plot_3d_and_4d_niimg.zip b/dev/_downloads/24646bf88295d9b694826f1c88efdaf9/plot_3d_and_4d_niimg.zip
diff --git a/dev/_downloads/24c23a56893b4488de131db2c3fbbe9c/plot_extract_rois_smith_atlas.zip b/dev/_downloads/24c23a56893b4488de131db2c3fbbe9c/plot_extract_rois_smith_atlas.zip
diff --git a/dev/_downloads/2ce0f24d145edf0cb7091fe8dae3bd07/plot_carpet.zip b/dev/_downloads/2ce0f24d145edf0cb7091fe8dae3bd07/plot_carpet.zip
diff --git a/dev/_downloads/2db23df6fc02e7fb53e6ee82f49eb2bc/plot_multiscale_parcellations.zip b/dev/_downloads/2db23df6fc02e7fb53e6ee82f49eb2bc/plot_multiscale_parcellations.zip
diff --git a/dev/_downloads/330cb23bdaeeb988f77c245c2f701a0c/plot_haxby_mass_univariate.zip b/dev/_downloads/330cb23bdaeeb988f77c245c2f701a0c/plot_haxby_mass_univariate.zip
diff --git a/dev/_downloads/3501b5161527823b76e121d0c20043a3/plot_mask_computation.zip b/dev/_downloads/3501b5161527823b76e121d0c20043a3/plot_mask_computation.zip
diff --git a/dev/_downloads/35e89a0fddeee2ec3084f9e9b94edcbe/plot_beta_series.zip b/dev/_downloads/35e89a0fddeee2ec3084f9e9b94edcbe/plot_beta_series.zip
diff --git a/dev/_downloads/362b0c50c649196a3fb4b2cf11a39304/plot_smooth_mean_image.zip b/dev/_downloads/362b0c50c649196a3fb4b2cf11a39304/plot_smooth_mean_image.zip
diff --git a/dev/_downloads/39715408852c4c991549b6f510431022/plot_surf_stat_map.zip b/dev/_downloads/39715408852c4c991549b6f510431022/plot_surf_stat_map.zip
diff --git a/dev/_downloads/42459a562621fd56db76c2274f38f004/plot_bids_analysis.zip b/dev/_downloads/42459a562621fd56db76c2274f38f004/plot_bids_analysis.zip
diff --git a/dev/_downloads/42b3bd92b4565279744cf95e7263db7d/plot_visualize_megatrawls_netmats.zip b/dev/_downloads/42b3bd92b4565279744cf95e7263db7d/plot_visualize_megatrawls_netmats.zip
diff --git a/dev/_downloads/44ace3c1d0ab418c0f97134024ad0a6d/plot_3d_map_to_surface_projection.zip b/dev/_downloads/44ace3c1d0ab418c0f97134024ad0a6d/plot_3d_map_to_surface_projection.zip
diff --git a/dev/_downloads/44cb3a7d606fae23fb2b04d989cc6947/plot_hrf.zip b/dev/_downloads/44cb3a7d606fae23fb2b04d989cc6947/plot_hrf.zip
diff --git a/dev/_downloads/45fc876cbbe833a7942ff19b6aeb70fe/plot_age_group_prediction_cross_val.zip b/dev/_downloads/45fc876cbbe833a7942ff19b6aeb70fe/plot_age_group_prediction_cross_val.zip
diff --git a/dev/_downloads/4d17a3136b19f949ccdbf7f04a64bae1/plot_haxby_anova_svm.zip b/dev/_downloads/4d17a3136b19f949ccdbf7f04a64bae1/plot_haxby_anova_svm.zip
diff --git a/dev/_downloads/4e07a05634132f0b6a9f33eaec2d31e4/plot_dim_plotting.zip b/dev/_downloads/4e07a05634132f0b6a9f33eaec2d31e4/plot_dim_plotting.zip
diff --git a/dev/_downloads/4f6c009516d6956f180d8a05a141b383/plot_oasis.zip b/dev/_downloads/4f6c009516d6956f180d8a05a141b383/plot_oasis.zip
diff --git a/dev/_downloads/51d737cf5400ad9c8d7f7ff1be620ac7/plot_simulated_connectome.py b/dev/_downloads/51d737cf5400ad9c8d7f7ff1be620ac7/plot_simulated_connectome.py
@@ -66,11 +66,7 @@
 
 
 # Fit one graph lasso per subject
-try:
-    from sklearn.covariance import GraphicalLassoCV
-except ImportError:
-    # for Scitkit-Learn < v0.20.0
-    from sklearn.covariance import GraphLassoCV as GraphicalLassoCV
+from sklearn.covariance import GraphicalLassoCV
 
 gl = GraphicalLassoCV(verbose=1)
 

diff --git a/dev/_downloads/53f49b385f18a47b11fc16fb41609534/plot_probabilistic_atlas_extraction.zip b/dev/_downloads/53f49b385f18a47b11fc16fb41609534/plot_probabilistic_atlas_extraction.zip
diff --git a/dev/_downloads/5425ee9af622597c06a538f1c5e6469e/plot_oasis_vbm_space_net.zip b/dev/_downloads/5425ee9af622597c06a538f1c5e6469e/plot_oasis_vbm_space_net.zip
diff --git a/dev/_downloads/55a97ddb52864175550451613f349777/plot_first_level_details.zip b/dev/_downloads/55a97ddb52864175550451613f349777/plot_first_level_details.zip
diff --git a/dev/_downloads/57b6c2ddd16d32969d0cae7f44d06639/plot_haxby_stimuli.zip b/dev/_downloads/57b6c2ddd16d32969d0cae7f44d06639/plot_haxby_stimuli.zip
diff --git a/dev/_downloads/580bae6bcd05509fa7469867cce2a114/plot_haxby_full_analysis.zip b/dev/_downloads/580bae6bcd05509fa7469867cce2a114/plot_haxby_full_analysis.zip
diff --git a/...ads/5bc59f7fa1c83877cb200d2f813bf5eb/plot_localizer_new_surface_analysis_experimental.zip b/...ads/5bc59f7fa1c83877cb200d2f813bf5eb/plot_localizer_new_surface_analysis_experimental.zip
diff --git a/dev/_downloads/5f7a238835a6ffe32e1edfb58a614869/plot_extract_regions_labels_image.zip b/dev/_downloads/5f7a238835a6ffe32e1edfb58a614869/plot_extract_regions_labels_image.zip
diff --git a/dev/_downloads/5f8b981c74d82c0a0d77446a11d50f5f/plot_surface_projection_strategies.zip b/dev/_downloads/5f8b981c74d82c0a0d77446a11d50f5f/plot_surface_projection_strategies.zip
diff --git a/dev/_downloads/62343990b863399f44ef21ed3d6b85b5/plot_simulated_connectome.ipynb b/dev/_downloads/62343990b863399f44ef21ed3d6b85b5/plot_simulated_connectome.ipynb
@@ -51,7 +51,7 @@
       },
       "outputs": [],
       "source": [
-        "import matplotlib.pyplot as plt\n\nfig = plt.figure(figsize=(10, 7))\nplt.subplots_adjust(hspace=0.4)\nfor n in range(n_displayed):\n    ax = plt.subplot(n_displayed, 4, 4 * n + 1)\n    max_precision = precisions[n].max()\n    plotting.plot_matrix(\n        precisions[n],\n        vmin=-max_precision,\n        vmax=max_precision,\n        axes=ax,\n        colorbar=False,\n    )\n\n    if n == 0:\n        plt.title(\"ground truth\")\n    plt.ylabel(f\"subject {int(n)}\")\n\n\n# Run group-sparse covariance on all subjects\nfrom nilearn.connectome import GroupSparseCovarianceCV\n\ngsc = GroupSparseCovarianceCV(max_iter=50, verbose=1)\ngsc.fit(subjects)\n\nfor n in range(n_displayed):\n    ax = plt.subplot(n_displayed, 4, 4 * n + 2)\n    max_precision = gsc.precisions_[..., n].max()\n    plotting.plot_matrix(\n        gsc.precisions_[..., n],\n        axes=ax,\n        vmin=-max_precision,\n        vmax=max_precision,\n        colorbar=False,\n    )\n    if n == 0:\n        plt.title(f\"group-sparse\\n$\\\\alpha={gsc.alpha_:.2f}$\")\n\n\n# Fit one graph lasso per subject\ntry:\n    from sklearn.covariance import GraphicalLassoCV\nexcept ImportError:\n    # for Scitkit-Learn < v0.20.0\n    from sklearn.covariance import GraphLassoCV as GraphicalLassoCV\n\ngl = GraphicalLassoCV(verbose=1)\n\nfor n, subject in enumerate(subjects[:n_displayed]):\n    gl.fit(subject)\n\n    ax = plt.subplot(n_displayed, 4, 4 * n + 3)\n    max_precision = gl.precision_.max()\n    plotting.plot_matrix(\n        gl.precision_,\n        axes=ax,\n        vmin=-max_precision,\n        vmax=max_precision,\n        colorbar=False,\n    )\n    if n == 0:\n        plt.title(\"graph lasso\")\n    plt.ylabel(f\"$\\\\alpha={gl.alpha_:.2f}$\")\n\n\n# Fit one graph lasso for all subjects at once\nimport numpy as np\n\ngl.fit(np.concatenate(subjects))\n\nax = plt.subplot(n_displayed, 4, 4)\nmax_precision = gl.precision_.max()\nplotting.plot_matrix(\n    gl.precision_,\n    axes=ax,\n    vmin=-max_precision,\n    vmax=max_precision,\n    colorbar=False,\n)\nplt.title(f\"graph lasso, all subjects\\n$\\\\alpha={gl.alpha_:.2f}$\")\n\nplotting.show()"
+        "import matplotlib.pyplot as plt\n\nfig = plt.figure(figsize=(10, 7))\nplt.subplots_adjust(hspace=0.4)\nfor n in range(n_displayed):\n    ax = plt.subplot(n_displayed, 4, 4 * n + 1)\n    max_precision = precisions[n].max()\n    plotting.plot_matrix(\n        precisions[n],\n        vmin=-max_precision,\n        vmax=max_precision,\n        axes=ax,\n        colorbar=False,\n    )\n\n    if n == 0:\n        plt.title(\"ground truth\")\n    plt.ylabel(f\"subject {int(n)}\")\n\n\n# Run group-sparse covariance on all subjects\nfrom nilearn.connectome import GroupSparseCovarianceCV\n\ngsc = GroupSparseCovarianceCV(max_iter=50, verbose=1)\ngsc.fit(subjects)\n\nfor n in range(n_displayed):\n    ax = plt.subplot(n_displayed, 4, 4 * n + 2)\n    max_precision = gsc.precisions_[..., n].max()\n    plotting.plot_matrix(\n        gsc.precisions_[..., n],\n        axes=ax,\n        vmin=-max_precision,\n        vmax=max_precision,\n        colorbar=False,\n    )\n    if n == 0:\n        plt.title(f\"group-sparse\\n$\\\\alpha={gsc.alpha_:.2f}$\")\n\n\n# Fit one graph lasso per subject\nfrom sklearn.covariance import GraphicalLassoCV\n\ngl = GraphicalLassoCV(verbose=1)\n\nfor n, subject in enumerate(subjects[:n_displayed]):\n    gl.fit(subject)\n\n    ax = plt.subplot(n_displayed, 4, 4 * n + 3)\n    max_precision = gl.precision_.max()\n    plotting.plot_matrix(\n        gl.precision_,\n        axes=ax,\n        vmin=-max_precision,\n        vmax=max_precision,\n        colorbar=False,\n    )\n    if n == 0:\n        plt.title(\"graph lasso\")\n    plt.ylabel(f\"$\\\\alpha={gl.alpha_:.2f}$\")\n\n\n# Fit one graph lasso for all subjects at once\nimport numpy as np\n\ngl.fit(np.concatenate(subjects))\n\nax = plt.subplot(n_displayed, 4, 4)\nmax_precision = gl.precision_.max()\nplotting.plot_matrix(\n    gl.precision_,\n    axes=ax,\n    vmin=-max_precision,\n    vmax=max_precision,\n    colorbar=False,\n)\nplt.title(f\"graph lasso, all subjects\\n$\\\\alpha={gl.alpha_:.2f}$\")\n\nplotting.show()"
       ]
     }
   ],

diff --git a/dev/_downloads/684caa838830f8d492bc57954d17a104/plot_inverse_covariance_connectome.ipynb b/dev/_downloads/684caa838830f8d492bc57954d17a104/plot_inverse_covariance_connectome.ipynb
@@ -58,7 +58,7 @@
       },
       "outputs": [],
       "source": [
-        "try:\n    from sklearn.covariance import GraphicalLassoCV\nexcept ImportError:\n    # for Scitkit-Learn < v0.20.0\n    from sklearn.covariance import GraphLassoCV as GraphicalLassoCV\n\nestimator = GraphicalLassoCV()\nestimator.fit(time_series)"
+        "from sklearn.covariance import GraphicalLassoCV\n\nestimator = GraphicalLassoCV()\nestimator.fit(time_series)"
       ]
     },
     {

diff --git a/dev/_downloads/69f7c0c50b17a16ca2a6341feb29c1c8/plot_multi_subject_connectome.zip b/dev/_downloads/69f7c0c50b17a16ca2a6341feb29c1c8/plot_multi_subject_connectome.zip
diff --git a/dev/_downloads/6d6d1d84a9c118f51a2a7cd8004fb72e/plot_haxby_masks.zip b/dev/_downloads/6d6d1d84a9c118f51a2a7cd8004fb72e/plot_haxby_masks.zip
diff --git a/dev/_downloads/6ecf7696d9212309a1ac618f1a4cfd1a/plot_two_runs_model.zip b/dev/_downloads/6ecf7696d9212309a1ac618f1a4cfd1a/plot_two_runs_model.zip
diff --git a/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip
diff --git a/dev/_downloads/6f2843af4e5dac080d749cabb34171b6/plot_demo_glass_brain.zip b/dev/_downloads/6f2843af4e5dac080d749cabb34171b6/plot_demo_glass_brain.zip
diff --git a/dev/_downloads/6fd04075bc267421a6003130a9df8e7f/plot_haxby_frem.zip b/dev/_downloads/6fd04075bc267421a6003130a9df8e7f/plot_haxby_frem.zip
diff --git a/dev/_downloads/6fdc2d8b95d1b3de708c1fe389ec8f9b/plot_write_events_file.zip b/dev/_downloads/6fdc2d8b95d1b3de708c1fe389ec8f9b/plot_write_events_file.zip
diff --git a/dev/_downloads/73f844c4a6da10bbfb02db799ecb38bc/plot_copy_headers_math_img.zip b/dev/_downloads/73f844c4a6da10bbfb02db799ecb38bc/plot_copy_headers_math_img.zip
diff --git a/dev/_downloads/781460825d2a6640608b0f0cece8036a/plot_colormaps.zip b/dev/_downloads/781460825d2a6640608b0f0cece8036a/plot_colormaps.zip
diff --git a/dev/_downloads/7ac307215ff4b05776a8f7859bbcac37/plot_affine_transformation.zip b/dev/_downloads/7ac307215ff4b05776a8f7859bbcac37/plot_affine_transformation.zip
diff --git a/...loads/7b90a1c0ce583286ff5d5362c2a38c3a/plot_3d_map_to_surface_projection_experimental.zip b/...loads/7b90a1c0ce583286ff5d5362c2a38c3a/plot_3d_map_to_surface_projection_experimental.zip
diff --git a/dev/_downloads/7cb01624b006fd5aaa979554fa58b551/plot_decoding_tutorial.zip b/dev/_downloads/7cb01624b006fd5aaa979554fa58b551/plot_decoding_tutorial.zip
diff --git a/dev/_downloads/7e1ebaa4a3168383b1f1e0584082414b/plot_advanced_decoding_scikit.zip b/dev/_downloads/7e1ebaa4a3168383b1f1e0584082414b/plot_advanced_decoding_scikit.zip
diff --git a/dev/_downloads/814e55c3391afa475693998134669ecb/plot_miyawaki_encoding.zip b/dev/_downloads/814e55c3391afa475693998134669ecb/plot_miyawaki_encoding.zip
diff --git a/dev/_downloads/81ff68137fc533fb3354249eb405167a/plot_miyawaki_reconstruction.zip b/dev/_downloads/81ff68137fc533fb3354249eb405167a/plot_miyawaki_reconstruction.zip
diff --git a/dev/_downloads/825140e409fccb43639b325759e8900a/plot_surface_image_and_maskers.zip b/dev/_downloads/825140e409fccb43639b325759e8900a/plot_surface_image_and_maskers.zip
diff --git a/dev/_downloads/83583dc3a50514a043c2cd0dfc685758/plot_single_subject_single_run.zip b/dev/_downloads/83583dc3a50514a043c2cd0dfc685758/plot_single_subject_single_run.zip
diff --git a/dev/_downloads/84f1332b1d9baccb296608468643d612/plot_signal_extraction.zip b/dev/_downloads/84f1332b1d9baccb296608468643d612/plot_signal_extraction.zip
diff --git a/dev/_downloads/865a73a49907ffc0bd3dece84d550ca3/plot_proportion_activated_voxels.zip b/dev/_downloads/865a73a49907ffc0bd3dece84d550ca3/plot_proportion_activated_voxels.zip
diff --git a/dev/_downloads/869ce1b8cba8af1370c7febd3a07af40/plot_haxby_grid_search.zip b/dev/_downloads/869ce1b8cba8af1370c7febd3a07af40/plot_haxby_grid_search.zip
diff --git a/...ownloads/86f3713b2cbd4076106f7a9007f66423/plot_new_surface_bids_analysis_experimental.zip b/...ownloads/86f3713b2cbd4076106f7a9007f66423/plot_new_surface_bids_analysis_experimental.zip
diff --git a/dev/_downloads/88ddbbe234dce81a8fc64e7afd079e2a/plot_inverse_covariance_connectome.py b/dev/_downloads/88ddbbe234dce81a8fc64e7afd079e2a/plot_inverse_covariance_connectome.py
@@ -58,11 +58,7 @@
 # %%
 # Compute the sparse inverse covariance
 # -------------------------------------
-try:
-    from sklearn.covariance import GraphicalLassoCV
-except ImportError:
-    # for Scitkit-Learn < v0.20.0
-    from sklearn.covariance import GraphLassoCV as GraphicalLassoCV
+from sklearn.covariance import GraphicalLassoCV
 
 estimator = GraphicalLassoCV()
 estimator.fit(time_series)

diff --git a/dev/_downloads/88e47e929fc88b6225f015fb94da5609/plot_bids_features.zip b/dev/_downloads/88e47e929fc88b6225f015fb94da5609/plot_bids_features.zip
diff --git a/dev/_downloads/8d661752368d205811c20f193479e7c1/plot_fir_model.zip b/dev/_downloads/8d661752368d205811c20f193479e7c1/plot_fir_model.zip
diff --git a/dev/_downloads/8f53df32fe25badef133277475602a74/plot_ica_resting_state.zip b/dev/_downloads/8f53df32fe25badef133277475602a74/plot_ica_resting_state.zip
diff --git a/dev/_downloads/8f8e364ed231d7f514803f54b0316651/plot_sphere_based_connectome.ipynb b/dev/_downloads/8f8e364ed231d7f514803f54b0316651/plot_sphere_based_connectome.ipynb
@@ -285,7 +285,7 @@
       },
       "outputs": [],
       "source": [
-        "try:\n    from sklearn.covariance import GraphicalLassoCV\nexcept ImportError:\n    # for Scitkit-Learn < v0.20.0\n    from sklearn.covariance import GraphLassoCV as GraphicalLassoCV\n\ncovariance_estimator = GraphicalLassoCV(cv=3, verbose=1)"
+        "from sklearn.covariance import GraphicalLassoCV\n\ncovariance_estimator = GraphicalLassoCV(cv=3, verbose=1)"
       ]
     },
     {

diff --git a/dev/_downloads/926c17772ce3fd6e4cbd2e276f8e019b/plot_ica_neurovault.zip b/dev/_downloads/926c17772ce3fd6e4cbd2e276f8e019b/plot_ica_neurovault.zip
diff --git a/dev/_downloads/94f332cc76279dbd61b4f002b04f7c6a/plot_extract_rois_statistical_maps.zip b/dev/_downloads/94f332cc76279dbd61b4f002b04f7c6a/plot_extract_rois_statistical_maps.zip
diff --git a/dev/_downloads/950d0c185a8aed66ad196c3cc9fefa4c/plot_demo_glass_brain_extensive.zip b/dev/_downloads/950d0c185a8aed66ad196c3cc9fefa4c/plot_demo_glass_brain_extensive.zip
diff --git a/dev/_downloads/98f9b58ac9f520ebed518db8644c9a41/plot_design_matrix.zip b/dev/_downloads/98f9b58ac9f520ebed518db8644c9a41/plot_design_matrix.zip
diff --git a/dev/_downloads/9a6b5240664afcf9eca8b6f9ee51cf4a/plot_compare_decomposition.zip b/dev/_downloads/9a6b5240664afcf9eca8b6f9ee51cf4a/plot_compare_decomposition.zip
diff --git a/dev/_downloads/9acefdc5741932088d86d5e054c4d9e3/plot_spm_multimodal_faces.zip b/dev/_downloads/9acefdc5741932088d86d5e054c4d9e3/plot_spm_multimodal_faces.zip
diff --git a/dev/_downloads/9ad2be797456fc853c1398c319f6d963/plot_haxby_glm_decoding.zip b/dev/_downloads/9ad2be797456fc853c1398c319f6d963/plot_haxby_glm_decoding.zip
diff --git a/dev/_downloads/9edafba8910beb5d701b7347912e9efa/plot_seed_to_voxel_correlation.zip b/dev/_downloads/9edafba8910beb5d701b7347912e9efa/plot_seed_to_voxel_correlation.zip
diff --git a/dev/_downloads/9edf432086e8eedc181d6828392f8027/plot_second_level_association_test.zip b/dev/_downloads/9edf432086e8eedc181d6828392f8027/plot_second_level_association_test.zip
diff --git a/dev/_downloads/a3faf0d89c34e8ff85661320c3ba3107/plot_atlas_comparison.zip b/dev/_downloads/a3faf0d89c34e8ff85661320c3ba3107/plot_atlas_comparison.zip
diff --git a/dev/_downloads/a50c8c77b5aaa8ab10416750758e81ed/plot_surf_stat_map_experimental.zip b/dev/_downloads/a50c8c77b5aaa8ab10416750758e81ed/plot_surf_stat_map_experimental.zip
diff --git a/dev/_downloads/a61865436a8c739855dd39d7e9ff3f6e/plot_overlay.zip b/dev/_downloads/a61865436a8c739855dd39d7e9ff3f6e/plot_overlay.zip
diff --git a/dev/_downloads/a6b1258e9ec2360536784f4f6a0da761/plot_second_level_design_matrix.zip b/dev/_downloads/a6b1258e9ec2360536784f4f6a0da761/plot_second_level_design_matrix.zip
diff --git a/dev/_downloads/a88942e7cf245c6313af9264fc1aecb7/plot_mixed_gambles_frem.zip b/dev/_downloads/a88942e7cf245c6313af9264fc1aecb7/plot_mixed_gambles_frem.zip
diff --git a/dev/_downloads/a942bc4c0b46c8ce36a01199a392adf7/plot_demo_more_plotting.zip b/dev/_downloads/a942bc4c0b46c8ce36a01199a392adf7/plot_demo_more_plotting.zip
diff --git a/dev/_downloads/ab899e71112e32a89fd2aef3e680104d/plot_neurovault_meta_analysis.zip b/dev/_downloads/ab899e71112e32a89fd2aef3e680104d/plot_neurovault_meta_analysis.zip
diff --git a/dev/_downloads/acd7f7befeb447e4e7899e3c54ceb70f/plot_predictions_residuals.zip b/dev/_downloads/acd7f7befeb447e4e7899e3c54ceb70f/plot_predictions_residuals.zip
diff --git a/dev/_downloads/ae6651d16ab1c955dfa9a76911d6a9f5/plot_second_level_one_sample_test.zip b/dev/_downloads/ae6651d16ab1c955dfa9a76911d6a9f5/plot_second_level_one_sample_test.zip
diff --git a/dev/_downloads/b0ce6fe6dbc2489bffa0c57abe9b950d/plot_extract_regions_dictlearning_maps.zip b/dev/_downloads/b0ce6fe6dbc2489bffa0c57abe9b950d/plot_extract_regions_dictlearning_maps.zip
diff --git a/dev/_downloads/b387fe754858f9f5253f7a5c357cc0b3/plot_compare_mean_image.zip b/dev/_downloads/b387fe754858f9f5253f7a5c357cc0b3/plot_compare_mean_image.zip
diff --git a/dev/_downloads/b661e1273b0710920dee982421e3395c/plot_inverse_covariance_connectome.zip b/dev/_downloads/b661e1273b0710920dee982421e3395c/plot_inverse_covariance_connectome.zip
diff --git a/dev/_downloads/bd7c9f13913c54f2c639812df2883116/plot_surf_atlas.zip b/dev/_downloads/bd7c9f13913c54f2c639812df2883116/plot_surf_atlas.zip
diff --git a/dev/_downloads/bea33831d73dc5d54aa039e7e203bd4c/plot_thresholding.zip b/dev/_downloads/bea33831d73dc5d54aa039e7e203bd4c/plot_thresholding.zip
diff --git a/dev/_downloads/c12576c8ab832e318ee59dc25754620a/plot_nifti_labels_simple.zip b/dev/_downloads/c12576c8ab832e318ee59dc25754620a/plot_nifti_labels_simple.zip
diff --git a/dev/_downloads/c2dbdcbf62c03dcec47eef5bfe82b8a3/plot_demo_plotting.zip b/dev/_downloads/c2dbdcbf62c03dcec47eef5bfe82b8a3/plot_demo_plotting.zip
diff --git a/dev/_downloads/c3e5d9800ce64d6b0efa511d212f7ff9/plot_group_level_connectivity.zip b/dev/_downloads/c3e5d9800ce64d6b0efa511d212f7ff9/plot_group_level_connectivity.zip
diff --git a/dev/_downloads/c4808d211b76a92e9f25f308c9cc9778/plot_localizer_surface_analysis.zip b/dev/_downloads/c4808d211b76a92e9f25f308c9cc9778/plot_localizer_surface_analysis.zip
diff --git a/dev/_downloads/cb064f9ac4369c8f91e970b8f1ae7965/plot_sphere_based_connectome.py b/dev/_downloads/cb064f9ac4369c8f91e970b8f1ae7965/plot_sphere_based_connectome.py
@@ -225,11 +225,7 @@
 # %%
 # in which situation the graphical lasso **sparse inverse covariance**
 # estimator captures well the covariance **structure**.
-try:
-    from sklearn.covariance import GraphicalLassoCV
-except ImportError:
-    # for Scitkit-Learn < v0.20.0
-    from sklearn.covariance import GraphLassoCV as GraphicalLassoCV
+from sklearn.covariance import GraphicalLassoCV
 
 covariance_estimator = GraphicalLassoCV(cv=3, verbose=1)
 

diff --git a/dev/_downloads/cbf864c02ea58bf659a2107a80acc575/plot_nifti_simple.zip b/dev/_downloads/cbf864c02ea58bf659a2107a80acc575/plot_nifti_simple.zip
diff --git a/dev/_downloads/d240b0576090ac29991a19243c699313/plot_haxby_searchlight.zip b/dev/_downloads/d240b0576090ac29991a19243c699313/plot_haxby_searchlight.zip
diff --git a/dev/_downloads/d67c320e54f8f0ca7efbace63496680e/plot_simulated_connectome.zip b/dev/_downloads/d67c320e54f8f0ca7efbace63496680e/plot_simulated_connectome.zip
diff --git a/dev/_downloads/d7963643e1525b2d2ed82c66856277b5/plot_localizer_mass_univariate_methods.zip b/dev/_downloads/d7963643e1525b2d2ed82c66856277b5/plot_localizer_mass_univariate_methods.zip
diff --git a/dev/_downloads/d8819acdc678cb07acd5acddd83e9bb1/plot_prob_atlas.zip b/dev/_downloads/d8819acdc678cb07acd5acddd83e9bb1/plot_prob_atlas.zip
diff --git a/dev/_downloads/d8d9e58b29a236e3e22803ef8164df20/plot_sphere_based_connectome.zip b/dev/_downloads/d8d9e58b29a236e3e22803ef8164df20/plot_sphere_based_connectome.zip
diff --git a/dev/_downloads/da266338d4a7e0f03f333f5af6d3bbac/plot_surf_atlas_experimental.zip b/dev/_downloads/da266338d4a7e0f03f333f5af6d3bbac/plot_surf_atlas_experimental.zip
diff --git a/dev/_downloads/dda8dc20f55415d1fb2d905db4661f87/plot_adhd_dmn.zip b/dev/_downloads/dda8dc20f55415d1fb2d905db4661f87/plot_adhd_dmn.zip
diff --git a/dev/_downloads/e8d0fec113f297f663796493a179d89f/plot_surface_bids_analysis.zip b/dev/_downloads/e8d0fec113f297f663796493a179d89f/plot_surface_bids_analysis.zip
diff --git a/dev/_downloads/eb173a3a75ae72eb6bfd3d63625d0f10/plot_haxby_multiclass.zip b/dev/_downloads/eb173a3a75ae72eb6bfd3d63625d0f10/plot_haxby_multiclass.zip
diff --git a/dev/_downloads/ec9ec7cc0c1ea84207d4b1895aa51c35/plot_atlas.zip b/dev/_downloads/ec9ec7cc0c1ea84207d4b1895aa51c35/plot_atlas.zip
diff --git a/dev/_downloads/ef891579a60b1bdf68937149b8c6c6e9/plot_negate_image.zip b/dev/_downloads/ef891579a60b1bdf68937149b8c6c6e9/plot_negate_image.zip
diff --git a/dev/_downloads/f395544c92d89d41f165c66b83663359/plot_localizer_simple_analysis.zip b/dev/_downloads/f395544c92d89d41f165c66b83663359/plot_localizer_simple_analysis.zip
diff --git a/dev/_downloads/f50b3205028cf5c0f8e176b94f00db09/plot_roi_extraction.zip b/dev/_downloads/f50b3205028cf5c0f8e176b94f00db09/plot_roi_extraction.zip
diff --git a/dev/_downloads/fea3af77ca714bc79a6ef19a9de3e2bd/plot_haxby_searchlight_surface.zip b/dev/_downloads/fea3af77ca714bc79a6ef19a9de3e2bd/plot_haxby_searchlight_surface.zip
diff --git a/dev/_downloads/ff1c3f1839b56e730a233c58d5a283c9/plot_haxby_different_estimators.zip b/dev/_downloads/ff1c3f1839b56e730a233c58d5a283c9/plot_haxby_different_estimators.zip
diff --git a/dev/_images/sphx_glr_plot_advanced_decoding_scikit_001.png b/dev/_images/sphx_glr_plot_advanced_decoding_scikit_001.png
diff --git a/dev/_images/sphx_glr_plot_advanced_decoding_scikit_thumb.png b/dev/_images/sphx_glr_plot_advanced_decoding_scikit_thumb.png
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diff --git a/dev/_images/sphx_glr_plot_bids_analysis_001.png b/dev/_images/sphx_glr_plot_bids_analysis_001.png
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diff --git a/dev/_images/sphx_glr_plot_bids_analysis_thumb.png b/dev/_images/sphx_glr_plot_bids_analysis_thumb.png
diff --git a/dev/_images/sphx_glr_plot_bids_features_007.png b/dev/_images/sphx_glr_plot_bids_features_007.png
diff --git a/dev/_images/sphx_glr_plot_design_matrix_001.png b/dev/_images/sphx_glr_plot_design_matrix_001.png
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diff --git a/dev/_images/sphx_glr_plot_first_level_details_024.png b/dev/_images/sphx_glr_plot_first_level_details_024.png
diff --git a/dev/_images/sphx_glr_plot_haxby_anova_svm_001.png b/dev/_images/sphx_glr_plot_haxby_anova_svm_001.png
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diff --git a/dev/_images/sphx_glr_plot_haxby_different_estimators_001.png b/dev/_images/sphx_glr_plot_haxby_different_estimators_001.png
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diff --git a/dev/_images/sphx_glr_plot_haxby_mass_univariate_002.png b/dev/_images/sphx_glr_plot_haxby_mass_univariate_002.png
diff --git a/dev/_images/sphx_glr_plot_haxby_searchlight_001.png b/dev/_images/sphx_glr_plot_haxby_searchlight_001.png
diff --git a/dev/_images/sphx_glr_plot_haxby_searchlight_thumb.png b/dev/_images/sphx_glr_plot_haxby_searchlight_thumb.png
diff --git a/dev/_images/sphx_glr_plot_haxby_stimuli_001.png b/dev/_images/sphx_glr_plot_haxby_stimuli_001.png
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diff --git a/dev/_images/sphx_glr_plot_ica_neurovault_001.png b/dev/_images/sphx_glr_plot_ica_neurovault_001.png
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diff --git a/dev/_images/sphx_glr_plot_neurovault_meta_analysis_001.png b/dev/_images/sphx_glr_plot_neurovault_meta_analysis_001.png
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diff --git a/dev/_images/sphx_glr_plot_oasis_005.png b/dev/_images/sphx_glr_plot_oasis_005.png
diff --git a/dev/_images/sphx_glr_plot_oasis_006.png b/dev/_images/sphx_glr_plot_oasis_006.png
diff --git a/dev/_images/sphx_glr_plot_oasis_vbm_004.png b/dev/_images/sphx_glr_plot_oasis_vbm_004.png
diff --git a/dev/_images/sphx_glr_plot_second_level_association_test_003.png b/dev/_images/sphx_glr_plot_second_level_association_test_003.png
diff --git a/dev/_images/sphx_glr_plot_second_level_one_sample_test_003.png b/dev/_images/sphx_glr_plot_second_level_one_sample_test_003.png
diff --git a/dev/_images/sphx_glr_plot_simulated_data_002.png b/dev/_images/sphx_glr_plot_simulated_data_002.png
diff --git a/dev/_images/sphx_glr_plot_simulated_data_003.png b/dev/_images/sphx_glr_plot_simulated_data_003.png
diff --git a/dev/_images/sphx_glr_plot_simulated_data_004.png b/dev/_images/sphx_glr_plot_simulated_data_004.png
diff --git a/dev/_images/sphx_glr_plot_simulated_data_006.png b/dev/_images/sphx_glr_plot_simulated_data_006.png
diff --git a/dev/_sources/auto_examples/00_tutorials/plot_3d_and_4d_niimg.rst.txt b/dev/_sources/auto_examples/00_tutorials/plot_3d_and_4d_niimg.rst.txt
@@ -127,7 +127,7 @@ statistical map:
  .. code-block:: none
 
 
-    <nilearn.plotting.displays._slicers.OrthoSlicer object at 0x7f78215716a0>
+    <nilearn.plotting.displays._slicers.OrthoSlicer object at 0x7f47f3e15b50>
 
 
 
@@ -156,7 +156,7 @@ Visualizing works better with a threshold
  .. code-block:: none
 
 
-    <nilearn.plotting.displays._slicers.OrthoSlicer object at 0x7f7821455190>
+    <nilearn.plotting.displays._slicers.OrthoSlicer object at 0x7f47f34d5400>
 
 
 
@@ -269,7 +269,7 @@ We can then plot it
  .. code-block:: none
 
 
-    <nilearn.plotting.displays._slicers.OrthoSlicer object at 0x7f78209c9e80>
+    <nilearn.plotting.displays._slicers.OrthoSlicer object at 0x7f47fb627470>
 
 
 
@@ -480,9 +480,9 @@ image.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 21.330 seconds)
+   **Total running time of the script:** (0 minutes 20.886 seconds)
 
-**Estimated memory usage:**  373 MB
+**Estimated memory usage:**  374 MB
 
 
 .. _sphx_glr_download_auto_examples_00_tutorials_plot_3d_and_4d_niimg.py: