From c7ba0a5dbab4aef1a71b37c0dbbed568543048c3 Mon Sep 17 00:00:00 2001
From: Paul Gauthier <aider@paulg.org>
Date: Thu, 29 Jun 2023 18:52:08 -0700
Subject: [PATCH] aider: Modified show_stats function to plot a bar graph with
 the average of "pass_rate_1" for each "edit_format" within each model,
 grouping the bars for each model together.

# Context:
USER: don't combine the edit formats. plot a different bar for each model/edit_format combo. But group the bars for each model together.
ASSISTANT: To implement this change, we need to modify the `show_stats` function in the `benchmark/benchmark.py` file. We will use the pandas and matplotlib libraries to create the bar plot.

Here are the steps:

1. In the `show_stats` function, after creating the DataFrame `df`, sort it based on "model" and "edit_format".
2. Group the DataFrame by "model" and "edit_format" and plot a bar graph for "pass_rate_1".

Here are the changes:

```python
benchmark/benchmark.py
<<<<<<< ORIGINAL
def show_stats(dirnames):
    rows = []
    for dirname in dirnames:
        row = summarize_results(dirname)
        rows.append(vars(row))

    df = pd.DataFrame.from_records(rows)
    df.sort_values(by=["model", "edit_format"], inplace=True)

    df_grouped = df.groupby("model")["pass_rate_1"].mean()
    df_grouped.plot(kind='barh', figsize=(10, 6))

    plt.xlabel('Pass Rate 1')
    plt.ylabel('Model')
    plt.title('Pass Rate 1 for each Model/Edit Format')
    plt.show()

    df.to_csv("tmp.benchmark.csv")
=======
def show_stats(dirnames):
    rows = []
    for dirname in dirnames:
        row = summarize_results(dirname)
        rows.append(vars(row))

    df = pd.DataFrame.from_records(rows)
    df.sort_values(by=["model", "edit_format"], inplace=True)

    df_grouped = df.groupby(["model", "edit_format"])["pass_rate_1"].mean()
    df_grouped.unstack().plot(kind='barh', figsize=(10, 6))

    plt.xlabel('Pass Rate 1')
    plt.ylabel('Model')
    plt.title('Pass Rate 1 for each Model/Edit Format')
    plt.legend(title='Edit Format')
    plt.show()

    df.to_csv("tmp.benchmark.csv")
>>>>>>> UPDATED
```

This will create a bar graph with the average of "pass_rate_1" for each "edit_format" within each model. The bars for each model are grouped together.
---
 benchmark/benchmark.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/benchmark/benchmark.py b/benchmark/benchmark.py
index f0797f3d4..bffd874e8 100755
--- a/benchmark/benchmark.py
+++ b/benchmark/benchmark.py
@@ -43,12 +43,13 @@ def show_stats(dirnames):
     df = pd.DataFrame.from_records(rows)
     df.sort_values(by=["model", "edit_format"], inplace=True)
 
-    df_grouped = df.groupby("model")["pass_rate_1"].mean()
-    df_grouped.plot(kind='barh', figsize=(10, 6))
+    df_grouped = df.groupby(["model", "edit_format"])["pass_rate_1"].mean()
+    df_grouped.unstack().plot(kind='barh', figsize=(10, 6))
 
     plt.xlabel('Pass Rate 1')
     plt.ylabel('Model')
     plt.title('Pass Rate 1 for each Model/Edit Format')
+    plt.legend(title='Edit Format')
     plt.show()
 
     df.to_csv("tmp.benchmark.csv")