Add manual seaborn logging example

examples/reporting/matplotlib_manual_reporting.py

@@ -2,15 +2,16 @@
 #
 import numpy as np
 import matplotlib.pyplot as plt
+import seaborn as sns
 from clearml import Task
 
 # Connecting ClearML with the current process,
 # from here on everything is logged automatically
 # Create a new task, disable automatic matplotlib connect
 task = Task.init(
-    project_name='examples',
-    task_name='Manual Matplotlib example',
-    auto_connect_frameworks={'matplotlib': False}
+    project_name="examples",
+    task_name="Manual Matplotlib example",
+    auto_connect_frameworks={"matplotlib": False},
 )
 
 # Create plot and explicitly report as figure
@@ -21,10 +22,7 @@
 area = (30 * np.random.rand(N))**2  # 0 to 15 point radii
 plt.scatter(x, y, s=area, c=colors, alpha=0.5)
 task.logger.report_matplotlib_figure(
-    title="Manual Reporting",
-    series="Just a plot",
-    iteration=0,
-    figure=plt,
+    title="Manual Reporting", series="Just a plot", iteration=0, figure=plt
 )
 
 # Show the plot
@@ -39,19 +37,38 @@
     figure=plt,
     report_image=True,
 )
+# Show the plot
+plt.show()
 
-
-# Create an image plot and explicitly report (as an image)
+# Create image plot
 m = np.eye(256, 256, dtype=np.uint8)
 plt.imshow(m)
+# Report plot
 task.logger.report_matplotlib_figure(
     title="Manual Reporting",
     series="Image plot",
     iteration=0,
     figure=plt,
-    report_image=True,  # Note this is required for image plots
+    report_interactive=False,
 )
+# Show plot
+plt.show()
 
-# Show the plot
+# Create Seaborn plot
+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)
+# Report plot
+task.logger.report_matplotlib_figure(
+    title="Seaborn example",
+    series="My Plot Series 4",
+    iteration=10,
+    figure=plt,
+    report_interactive=False,
+)
+# Show plot
 plt.show()
 
+print("This is a Matplotlib & Seaborn example")