From ef678783e27c3a1db64babe292594e868d24f6ae Mon Sep 17 00:00:00 2001
From: "claude[bot]" <41898282+claude[bot]@users.noreply.github.com>
Date: Sun, 7 Dec 2025 10:34:58 +0000
Subject: [PATCH] feat(matplotlib): implement histogram-basic

Implements basic histogram visualization using matplotlib's ax.hist() method.

- Uses pandas DataFrame as per spec example
- Follows Python Blue color from style guide (#306998)
- Proper font sizes for 4800x2700 output (20pt labels, 16pt ticks)
- Y-axis grid for readability
---
 plots/matplotlib/hist/histogram-basic/default.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/plots/matplotlib/hist/histogram-basic/default.py b/plots/matplotlib/hist/histogram-basic/default.py
index 7c59f56e73..ac2191c2ab 100644
--- a/plots/matplotlib/hist/histogram-basic/default.py
+++ b/plots/matplotlib/hist/histogram-basic/default.py
@@ -5,15 +5,16 @@
 
 import matplotlib.pyplot as plt
 import numpy as np
+import pandas as pd
 
 
 # Data
 np.random.seed(42)
-values = np.random.normal(100, 15, 500)
+data = pd.DataFrame({"value": np.random.normal(100, 15, 500)})
 
 # Create plot
 fig, ax = plt.subplots(figsize=(16, 9))
-ax.hist(values, bins=30, alpha=0.8, color="#306998", edgecolor="white", linewidth=0.5)
+ax.hist(data["value"], bins=30, alpha=0.8, color="#306998", edgecolor="white", linewidth=0.5)
 
 # Labels and styling
 ax.set_xlabel("Value", fontsize=20)