From 3c3ae7dfde6a003cfc9a4dc450f675d65769a2e4 Mon Sep 17 00:00:00 2001
From: shlff <shu.hu@anu.edu.au>
Date: Fri, 17 Nov 2023 17:41:10 +1100
Subject: [PATCH] [mle] update units and labels

---
 lectures/mle.md | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

diff --git a/lectures/mle.md b/lectures/mle.md
index a88fb4bb..963597da 100644
--- a/lectures/mle.md
+++ b/lectures/mle.md
@@ -4,7 +4,7 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.14.5
+    jupytext_version: 1.15.2
 kernelspec:
   display_name: Python 3 (ipykernel)
   language: python
@@ -102,8 +102,13 @@ Let's histogram this sample.
 
 ```{code-cell} ipython3
 fig, ax = plt.subplots()
-ax.set_xlim(-1,20)
-ax.hist(sample, density=True, bins=5_000, histtype='stepfilled', alpha=0.8)
+ax.set_xlim(-1, 20)
+density, edges = np.histogram(sample, bins=5000, density=True)
+prob = density * np.diff(edges)
+plt.stairs(prob, edges, fill=True, alpha=0.8, label=r"unit: $\$100,000$")
+plt.ylabel("prob")
+plt.xlabel("net wealth")
+plt.legend()
 plt.show()
 ```
 
@@ -502,7 +507,6 @@ ax.legend()
 plt.show()
 ```
 
-
 Clearly, this distribution is not a good fit for our data.
 
 ```{solution-end}