From b125e66b0de981a47b39b0dc5e9e8237b4957181 Mon Sep 17 00:00:00 2001 From: Marc Wouts Date: Thu, 21 Apr 2022 11:54:23 +0200 Subject: [PATCH] Change ipynb notebook --- examples/notebooks/06_matplotlib.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/notebooks/06_matplotlib.ipynb b/examples/notebooks/06_matplotlib.ipynb index 97bb8e4..21c631c 100644 --- a/examples/notebooks/06_matplotlib.ipynb +++ b/examples/notebooks/06_matplotlib.ipynb @@ -20,7 +20,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -33,7 +33,7 @@ ], "source": [ "fig, ax = plt.subplots() # Create a figure containing a single axes.\n", - "ax.plot([1, 2, 3, 4], [1, 4, 2, 3]); # Plot some data on the axes." + "ax.plot([1, 2, 3, 4], [1, 3, 2, 4]); # Plot some data on the axes." ] }, {