Write blog post about the UHI implementation in ROOT

Author: siliataider

assets/images/blog/posts/2025-06-06-uhi-for-root/blog_uhi_th1.png

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+---
+ title: "Level Up Your Histogram Analysis Using ROOT’s UHI"
+ layout: archive
+ author: Silia Taider
+---
+
+What if you could intuitively manipulate your ROOT histograms, create stunning plots with your favorite Python libraries, and perform advanced operations--all with **Pythonic ease**? 
+
+Starting from **ROOT 6.36**, the Unified Histogram Interface (UHI) bridges the gap between ROOT's powerful features and Python's intuitive APIs, taking your data analysis workflow to the next level!
+
+## What is UHI?
+
+The [Unified Histogram Interface (UHI)](https://uhi.readthedocs.io/en/latest/index.html) is a modern API designed to standardize and simplify histogram operations in Python. 
+Fully implemented now in ROOT, UHI ensures that all ROOT histogram classes--derived from [TH1](https://root.cern/doc/master/classTH1.html)--can leverage a consistent **intuitive** interface for Python developers, enhanced with a powerful set of functionalities like **slicing**, **indexing**, as well as native integration with popular Python **plotting** libraries, making ROOT histograms more versatile than ever.
+
+## How about a quick demo?
+
+Let me show you how you can fill your histograms with [NymPy](https://numpy.org/) arrays directly:
+
+```python
+import matplotlib.pyplot as plt
+import mplhep as hep
+import numpy as np
+import ROOT
+
+h1 = ROOT.TH1F("h1", "", 40, -4, 4)
+h1[...] = np.random.uniform(0, 1, 40)
+hep.histplot(h1, label="h1", linewidth=2, yerr=False)
+plt.title("My histo")
+plt.show()
+```
+Et voilà! 
+<center>
+    <img
+    src="{{'/assets/images/blog/posts/2025-06-06-uhi-for-root/blog_uhi_th1.png' | relative_url}}"
+    style="width: 100%" />
+</center>
+
+You can also easily plot ROOT histograms with libraries like [Matplolib](https://matplotlib.org/) that don't directly support UHI yet (using a small trick--can you spot it?):
+
+```python
+h2 = ROOT.TH2D("h2", "h2", 10, 0, 1, 10, 0, 1)
+h2[...] = np.random.uniform(0, 1, (10, 10))
+
+plt.imshow(h2.values())
+plt.colorbar(label='Counts')
+plt.title("My 2D histo")
+plt.show()
+```
+<center>
+    <img
+    src="{{'/assets/images/blog/posts/2025-06-06-uhi-for-root/blog_uhi_th2.png' | relative_url}}"
+    style="width: 100%" />
+</center>
+
+## Ready to Level Up Your Histogram Analysis?
+With UHI, ROOT histograms now offer Python developers an intuitive, modern, and powerful API.
+Check out the [ROOT UHI documentation](https://root.cern/doc/master/group__uhi__docs.html) for more implementation details and examples!