From 3840d71afe2737910e14f036ca41e0b9ff367c07 Mon Sep 17 00:00:00 2001
From: studentpiyush <piyusgour2011@gmail.com>
Date: Tue, 14 Oct 2025 09:00:35 +0530
Subject: [PATCH 1/2] Add pandas+matplotlib example
 (examples/library_examples/pandas_matplotlib)

---
 .../pandas_matplotlib/README.md               | 16 ++++++++
 .../pandas_matplotlib/example.py              | 40 +++++++++++++++++++
 2 files changed, 56 insertions(+)
 create mode 100644 examples/library_examples/pandas_matplotlib/README.md
 create mode 100644 examples/library_examples/pandas_matplotlib/example.py

diff --git a/examples/library_examples/pandas_matplotlib/README.md b/examples/library_examples/pandas_matplotlib/README.md
new file mode 100644
index 000000000000..02e165260d80
--- /dev/null
+++ b/examples/library_examples/pandas_matplotlib/README.md
@@ -0,0 +1,16 @@
+# Pandas + Matplotlib Example
+
+This example demonstrates a simple workflow using **pandas** and **matplotlib**:
+
+- Create a small dataset using pandas
+- Perform a simple data transformation (moving average)
+- Visualize the results with matplotlib (line chart)
+
+## Files
+
+- `example.py` — main script demonstrating the workflow
+
+## Requirements
+
+```bash
+pip install pandas matplotlib
diff --git a/examples/library_examples/pandas_matplotlib/example.py b/examples/library_examples/pandas_matplotlib/example.py
new file mode 100644
index 000000000000..7ec29a0b3660
--- /dev/null
+++ b/examples/library_examples/pandas_matplotlib/example.py
@@ -0,0 +1,40 @@
+"""
+Example: Using pandas and matplotlib together
+
+This script demonstrates how to:
+1. Create a DataFrame using pandas
+2. Perform a simple transformation
+3. Visualize the results using matplotlib
+
+Requirements:
+    pip install pandas matplotlib
+"""
+
+import pandas as pd
+import matplotlib.pyplot as plt
+
+# Step 1: Create a sample DataFrame
+data = {
+    "Month": ["Jan", "Feb", "Mar", "Apr", "May", "Jun"],
+    "Sales": [250, 300, 280, 350, 400, 380]
+}
+df = pd.DataFrame(data)
+
+# Step 2: Add a moving average column
+df["Moving_Avg"] = df["Sales"].rolling(window=2).mean()
+
+# Step 3: Plot the data
+plt.figure(figsize=(8, 5))
+plt.plot(df["Month"], df["Sales"], marker='o', label="Sales", color="blue")
+plt.plot(df["Month"], df["Moving_Avg"], marker='s', label="Moving Avg", linestyle="--", color="orange")
+
+plt.title("Monthly Sales with Moving Average")
+plt.xlabel("Month")
+plt.ylabel("Sales")
+plt.legend()
+plt.grid(True, linestyle="--", alpha=0.6)
+plt.tight_layout()
+plt.show()
+
+# Optional: Print the DataFrame for reference
+print(df)

From 29210854d5f49a30166c7a01f627b721892c312c Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 14 Oct 2025 04:20:24 +0000
Subject: [PATCH 2/2] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 .../library_examples/pandas_matplotlib/example.py   | 13 ++++++++++---
 1 file changed, 10 insertions(+), 3 deletions(-)

diff --git a/examples/library_examples/pandas_matplotlib/example.py b/examples/library_examples/pandas_matplotlib/example.py
index 7ec29a0b3660..2d04a692378b 100644
--- a/examples/library_examples/pandas_matplotlib/example.py
+++ b/examples/library_examples/pandas_matplotlib/example.py
@@ -16,7 +16,7 @@
 # Step 1: Create a sample DataFrame
 data = {
     "Month": ["Jan", "Feb", "Mar", "Apr", "May", "Jun"],
-    "Sales": [250, 300, 280, 350, 400, 380]
+    "Sales": [250, 300, 280, 350, 400, 380],
 }
 df = pd.DataFrame(data)
 
@@ -25,8 +25,15 @@
 
 # Step 3: Plot the data
 plt.figure(figsize=(8, 5))
-plt.plot(df["Month"], df["Sales"], marker='o', label="Sales", color="blue")
-plt.plot(df["Month"], df["Moving_Avg"], marker='s', label="Moving Avg", linestyle="--", color="orange")
+plt.plot(df["Month"], df["Sales"], marker="o", label="Sales", color="blue")
+plt.plot(
+    df["Month"],
+    df["Moving_Avg"],
+    marker="s",
+    label="Moving Avg",
+    linestyle="--",
+    color="orange",
+)
 
 plt.title("Monthly Sales with Moving Average")
 plt.xlabel("Month")