From d5921871f73d34207262b7cb87779813f8333a4c Mon Sep 17 00:00:00 2001
From: Paul Gauthier <aider@paulg.org>
Date: Thu, 29 Jun 2023 18:50:59 -0700
Subject: [PATCH] aider: Sort DataFrame by "model" and "edit_format" and plot a
 horizontal bar graph of the average "pass_rate_1" for each model.

# Context:
USER: in `show_stats` plot a horizontal bar graph. sort on "model" and "edit_format". group the bars by model. plot the pass_rate_1 for each model/edit_format.
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. Import the matplotlib library at the top of the file.
2. In the `show_stats` function, after creating the DataFrame `df`, sort it based on "model" and "edit_format".
3. Group the DataFrame by "model" and plot a bar graph for "pass_rate_1".

Here are the changes:

```python
benchmark/benchmark.py
<<<<<<< ORIGINAL
import pandas as pd
=======
import pandas as pd
import matplotlib.pyplot as plt
>>>>>>> UPDATED
```

```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)

    print(df)

    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")["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")
>>>>>>> UPDATED
```

Please note that this will create a bar graph with the average of "pass_rate_1" for each model. If you want to plot "pass_rate_1" for each "edit_format" within each model, we would need to modify the grouping and plotting code.
---
 benchmark/benchmark.py | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/benchmark/benchmark.py b/benchmark/benchmark.py
index c2dd0980d..f0797f3d4 100755
--- a/benchmark/benchmark.py
+++ b/benchmark/benchmark.py
@@ -17,6 +17,7 @@ from typing import List
 import git
 import lox
 import pandas as pd
+import matplotlib.pyplot as plt
 import prompts
 import typer
 from rich.console import Console
@@ -40,8 +41,15 @@ def show_stats(dirnames):
         rows.append(vars(row))
 
     df = pd.DataFrame.from_records(rows)
+    df.sort_values(by=["model", "edit_format"], inplace=True)
 
-    print(df)
+    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")