diff --git a/examples/frameworks/keras/jupyter.ipynb b/examples/frameworks/keras/jupyter.ipynb
index 6724049a..b12f52ce 100644
--- a/examples/frameworks/keras/jupyter.ipynb
+++ b/examples/frameworks/keras/jupyter.ipynb
@@ -121,7 +121,7 @@
     "\n",
     "x = np.linspace(0, task_params['sin_max_value'], task_params['sin_steps'])\n",
     "y = np.sin(x)\n",
-    "plt.plot(x, y, 'o', color='black')\n",
+    "plt.plot(x, y, 'o', color='pink')\n",
     "plt.title('Sinus Dots')\n",
     "plt.show()\n",
     "\n",
diff --git a/examples/frameworks/keras/legacy/jupyter.ipynb b/examples/frameworks/keras/legacy/jupyter.ipynb
index b8722d6e..4391a4a2 100644
--- a/examples/frameworks/keras/legacy/jupyter.ipynb
+++ b/examples/frameworks/keras/legacy/jupyter.ipynb
@@ -127,7 +127,7 @@
     "\n",
     "x = np.linspace(0, task_params['sin_max_value'], task_params['sin_steps'])\n",
     "y = np.sin(x)\n",
-    "plt.plot(x, y, 'o', color='black')\n",
+    "plt.plot(x, y, 'o', color='pink')\n",
     "plt.title('Sinus Dots')\n",
     "plt.show()\n",
     "\n",
diff --git a/examples/frameworks/matplotlib/jupyter_matplotlib_example.ipynb b/examples/frameworks/matplotlib/jupyter_matplotlib_example.ipynb
index 09ddfcd2..78388aa7 100644
--- a/examples/frameworks/matplotlib/jupyter_matplotlib_example.ipynb
+++ b/examples/frameworks/matplotlib/jupyter_matplotlib_example.ipynb
@@ -118,7 +118,7 @@
     "# create another plot - with a name\n",
     "x = np.linspace(0, 10, 30)\n",
     "y = np.sin(x)\n",
-    "plt.plot(x, y, 'o', color='black')\n",
+    "plt.plot(x, y, 'o', color='pink')\n",
     "plt.show()"
    ]
   },
diff --git a/examples/frameworks/matplotlib/matplotlib_example.py b/examples/frameworks/matplotlib/matplotlib_example.py
index ebc6cedb..3f741f2e 100644
--- a/examples/frameworks/matplotlib/matplotlib_example.py
+++ b/examples/frameworks/matplotlib/matplotlib_example.py
@@ -28,7 +28,7 @@ plt.show()
 # Create another plot - with a name
 x = np.linspace(0, 10, 30)
 y = np.sin(x)
-plt.plot(x, y, 'o', color='black')
+plt.plot(x, y, 'o', color='pink')
 # Plot will be reported automatically
 plt.show()