added line six groups gif.

demo_testing/bar_chart_grouped.py

@@ -0,0 +1,19 @@
+import unify
+unify 
+import random
+random.seed(0)
+
+base_msg = "You are a helpful assistant."
+for tool_use in [True, False]:
+    for sys_msg in [
+        base_msg,
+        base_msg + " You can use tools.",
+        base_msg + " You can use tools and search the web."
+    ]:
+        for example_idx in range(10):
+            unify.log(
+                tool_use=tool_use,
+                sys_msg=sys_msg,
+                example_idx=example_idx,
+                score=random.uniform(0, 10)
+            )

demo_testing/derived_entry.py

@@ -5,10 +5,10 @@
 unify.activate("derived_entry", overwrite=True)
 
 for _ in range(20):
-    x = random.randint(0, 100)
-    y = random.randint(0, 100)
+    x = random.random()
+    y = random.random()
     unify.log(
-        x=x,
-        y=y,
+        x0=x,
+        x1=y,
         # length=(x**2 + y**2)**0.5
     )

demo_testing/line_graph_grouped.py

@@ -0,0 +1,28 @@
+import unify
+import random
+random.seed(0)
+unify.activate("line_graph_grouped", overwrite=True)
+
+model_speeds = {
+    "llama-3.1-8b-chat": 12,
+    "llama-3.1-70b-chat": 7,
+    "llama-3.1-405b-chat": 4
+}
+provider_speeds = {
+    "fireworks-ai": 10,
+    "together-ai": 9,
+    "aws-bedrock": 8
+}
+for i in range(25):
+    for model, model_speed in model_speeds.items():
+        for provider, provider_speed in provider_speeds.items():
+            unify.log(  
+                model=model,
+                provider=provider,
+                time=i,
+                speed=(
+                    model_speed + 
+                    provider_speed + 
+                    random.uniform(-2, 2)
+                )
+            )

interfaces/plots.mdx

@@ -131,23 +131,22 @@ and then limit the time horizon to the last 5 minutes, for example.
 
 <img class="dark-light" width="100%" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/refs/heads/main/img/externally_linked/line_group_stream_dark.gif"/>
 
-{/* ToDo: Add support for multi-grouping (https://app.clickup.com/t/86c1xw4bf) */}
-
-{/* As with scatter graphs, we can also group by multiple columns.
-Let's say we also want to group by provider.
+Similar to the derived "identity" column before,
+we can create a derived "endpoint" column to plot a unique line for each model + provider combination.
+Let's create some dummy data for this scenario:
 
 ```python
 model_speeds = {
-    "llama-3.1-70b": 10,
-    "llama-3.1-405b": 5,
-    "llama-3.1-8k": 1
+    "llama-3.1-8b-chat": 12,
+    "llama-3.1-70b-chat": 7,
+    "llama-3.1-405b-chat": 4
 }
 provider_speeds = {
     "fireworks-ai": 10,
     "together-ai": 9,
     "aws-bedrock": 8
 }
-for i in range(10):
+for i in range(25):
     for model, model_speed in model_speeds.items():
         for provider, provider_speed in provider_speeds.items():
             unify.log(  
@@ -157,14 +156,14 @@ for i in range(10):
                 speed=(
                     model_speed + 
                     provider_speed + 
-                    random.uniform(-5, 5)
+                    random.uniform(-2, 2)
                 )
             )
 ```
 
-We could then create a plot which represents each unique **endpoint**, by grouping by the model *and* provider.
+Let's then create the derived column and plot results for each unique **endpoint**.
 
-IMG */}
+<img class="dark-light" width="100%" src="https://raw.githubusercontent.com/unifyai/unifyai.github.io/refs/heads/main/img/externally_linked/line_six_groups_dark.gif"/>
 
 ## Bar Charts
 
@@ -198,10 +197,6 @@ to see how each of our experiments performed across the 10 examples.
 
 IMG
 
-If we want to see the extremes, we could also plot the *min* or *max* score, and add plots for these.
-
-IMG
-
 ## Histograms
 
 Finally, we can also plot histograms, which take a *single* numeric column,