Create Metrics by Step Panel

Author: chasefortier

panels/MetricsByStep/MetricsByStep.py

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+from comet_ml import API, ui
+import pandas as pd
+import streamlit as st
+import plotly.express as px
+
+# Get available metrics
+api = API()
+
+experiment_keys = api.get_panel_experiment_keys()
+all_metric_names = api.get_panel_metrics_names()
+
+all_metrics = st.sidebar.toggle("All Metrics", value=1, help="Display chart for all metrics logged to the project.")
+
+if not all_metrics:
+    metric_names = st.sidebar.multiselect("Metrics:", all_metric_names, help= "Metrics to display.")
+else:
+    metric_names = all_metric_names
+
+if metric_names:
+    metrics_df = api.get_metrics_df(
+        experiment_keys, metrics=metric_names, interpolate=False
+    )
+    
+    # Get min and max step and generate step slider
+    step_max = metrics_df['step'].max()
+    step_min = metrics_df['step'].min()
+    
+    slider = st.sidebar.slider("Step:", int(step_min), int(step_max))
+    
+    # Filter to data for the selected step
+    step_data = metrics_df.loc[metrics_df['step'] == slider].copy()
+    
+    # OPTIONAL: if experiment_key is the index, reset it so it's a column
+    if 'experiment_key' not in step_data.columns:
+        step_data = step_data.reset_index().rename(columns={'index': 'experiment_key'})
+    
+    # Plot a bar chart for each metric
+    for metric in metric_names:
+        # Skip metrics that might not be present
+        if metric not in step_data.columns:
+            continue
+    
+        metric_df = step_data[['experiment_name', metric]].copy()
+    
+        fig = px.bar(
+            metric_df,
+            x='experiment_name',
+            y=metric,
+            title=f"{metric} at step {slider}",
+            labels={
+                'experiment_name': 'Experiment',
+                metric: metric,
+            }
+        )
+    
+        st.plotly_chart(fig, use_container_width=True)

panels/MetricsByStep/README.md

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+### CompareMaxAccuracyOverTime
+
+The `MetricsByStep` panel is used to compare the value of your metrics at a specific step across all of your experiments using bar charts.
+
+
+<table>
+<tr>
+<td>
+<img src="https://raw.githubusercontent.com/comet-ml/comet-examples/refs/heads/master/panels/MetricsByStep/metrics-by-step-panel.png" 
+     style="max-width: 300px; max-height: 300px;">
+</img>
+</td>
+</tr>
+</table>
+
+#### Python Panel
+
+To include this panel from the github repo, use this code in a Custom Python Panel:
+
+```
+%include https://raw.githubusercontent.com/comet-ml/comet-examples/refs/heads/master/panels/MetricsByStep/MetricsByStep.py
+```
+
+Or, you can simply [copy the code](https://raw.githubusercontent.com/comet-ml/comet-examples/refs/heads/master/panels/MetricsByStep/MetricsByStep.py) into a custom Python Panel.
+
+
+