From f86947c07bd4f2c04ce508dba76f88d4ea8e4bac Mon Sep 17 00:00:00 2001
From: Qian Zhang <88585542+QianZhang19@users.noreply.github.com>
Date: Tue, 18 Mar 2025 14:11:23 +0000
Subject: [PATCH] Backport PR #29767: Add description to logit_demo.py script
---
galleries/examples/scales/logit_demo.py | 14 ++++++++++++++
1 file changed, 14 insertions(+)
diff --git a/galleries/examples/scales/logit_demo.py b/galleries/examples/scales/logit_demo.py
index 22a56433ccd7..e8d42fc35711 100644
--- a/galleries/examples/scales/logit_demo.py
+++ b/galleries/examples/scales/logit_demo.py
@@ -4,6 +4,20 @@
===========
Examples of plots with logit axes.
+
+This example visualises how ``set_yscale("logit")`` works on probability plots
+by generating three distributions: normal, laplacian, and cauchy in one plot.
+
+The advantage of logit scale is that it effectively spreads out values close to 0 and 1.
+
+In a linear scale plot, probability values near 0 and 1 appear compressed,
+making it difficult to see differences in those regions.
+
+In a logit scale plot, the transformation expands these regions,
+making the graph cleaner and easier to compare across different probability values.
+
+This makes the logit scale especially useful when visalising probabilities in logistic
+regression, classification models, and cumulative distribution functions.
"""
import math
pFad - Phonifier reborn
Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.
Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.
Alternative Proxies:
Alternative Proxy
pFad Proxy
pFad v3 Proxy
pFad v4 Proxy