From b26c57e56afcaee5608fd73dfeec244a3a9d6948 Mon Sep 17 00:00:00 2001 From: Dimitri Papadopoulos <3234522+DimitriPapadopoulos@users.noreply.github.com> Date: Tue, 15 Apr 2025 10:52:29 +0200 Subject: [PATCH 1/2] =?UTF-8?q?MNT=20`%i`=20=E2=86=92=20`%d`?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit While the format specification mini-language still supports `%i` for backwards compatibility, it has been dropped from documentation. --- examples/linear_model/plot_sparse_logistic_regression_mnist.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/linear_model/plot_sparse_logistic_regression_mnist.py b/examples/linear_model/plot_sparse_logistic_regression_mnist.py index 22e4e9cd48e60..14f56be1391f6 100644 --- a/examples/linear_model/plot_sparse_logistic_regression_mnist.py +++ b/examples/linear_model/plot_sparse_logistic_regression_mnist.py @@ -75,7 +75,7 @@ ) l1_plot.set_xticks(()) l1_plot.set_yticks(()) - l1_plot.set_xlabel("Class %i" % i) + l1_plot.set_xlabel("Class %d" % i) plt.suptitle("Classification vector for...") run_time = time.time() - t0 From bb0d6e7b161f6eec7fab1ce23c10a0b4164d6ebd Mon Sep 17 00:00:00 2001 From: Dimitri Papadopoulos Orfanos <3234522+DimitriPapadopoulos@users.noreply.github.com> Date: Tue, 15 Apr 2025 18:55:47 +0200 Subject: [PATCH 2/2] MNT use f-string MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: Jérémie du Boisberranger --- examples/linear_model/plot_sparse_logistic_regression_mnist.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/linear_model/plot_sparse_logistic_regression_mnist.py b/examples/linear_model/plot_sparse_logistic_regression_mnist.py index 14f56be1391f6..e4a44e989b565 100644 --- a/examples/linear_model/plot_sparse_logistic_regression_mnist.py +++ b/examples/linear_model/plot_sparse_logistic_regression_mnist.py @@ -75,7 +75,7 @@ ) l1_plot.set_xticks(()) l1_plot.set_yticks(()) - l1_plot.set_xlabel("Class %d" % i) + l1_plot.set_xlabel(f"Class {i}") plt.suptitle("Classification vector for...") run_time = time.time() - t0