Refactor examples

examples/frameworks/matplotlib/matplotlib_example.py

@@ -0,0 +1,46 @@
+# TRAINS - Example of Matplotlib and Seaborn integration and reporting
+#
+import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+from trains import Task
+
+
+task = Task.init(project_name='examples', task_name='Matplotlib example')
+
+# create plot
+N = 50
+x = np.random.rand(N)
+y = np.random.rand(N)
+colors = np.random.rand(N)
+area = (30 * np.random.rand(N))**2  # 0 to 15 point radii
+plt.scatter(x, y, s=area, c=colors, alpha=0.5)
+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.show()
+
+# create image plot
+m = np.eye(256, 256, dtype=np.uint8)
+plt.imshow(m)
+plt.show()
+
+# create image plot - with a name
+m = np.eye(256, 256, dtype=np.uint8)
+plt.imshow(m)
+plt.title('Image Title')
+plt.show()
+
+sns.set(style="darkgrid")
+# Load an example dataset with long-form data
+fmri = sns.load_dataset("fmri")
+# Plot the responses for different events and regions
+sns.lineplot(x="timepoint", y="signal",
+             hue="region", style="event",
+             data=fmri)
+plt.show()
+
+print('This is a Matplotlib & Seaborn example')