From 37e7fe2563ad126135e65e35350819cceac0caa2 Mon Sep 17 00:00:00 2001
From: ibah <ibah@o2.pl>
Date: Tue, 29 Nov 2016 13:09:51 +0100
Subject: [PATCH 1/2] generalizing the solution to the 'extract rows with
 unequal values' exercise

---
 100 Numpy exercises.ipynb | 4 +---
 100 Numpy exercises.md    | 4 +---
 2 files changed, 2 insertions(+), 6 deletions(-)

diff --git a/100 Numpy exercises.ipynb b/100 Numpy exercises.ipynb
index 7affa60..f736fd2 100644
--- a/100 Numpy exercises.ipynb	
+++ b/100 Numpy exercises.ipynb	
@@ -2149,9 +2149,7 @@
     "# Author: Robert Kern\n",
     "\n",
     "Z = np.random.randint(0,5,(10,3))\n",
-    "E = np.logical_and.reduce(Z[:,1:] == Z[:,:-1], axis=1)\n",
-    "U = Z[~E]\n",
-    "print(Z)\n",
+    "U = Z[Z.max(axis=1) != Z.min(axis=1),:]\n",
     "print(U)"
    ]
   },
diff --git a/100 Numpy exercises.md b/100 Numpy exercises.md
index cefbc41..6a833c3 100644
--- a/100 Numpy exercises.md	
+++ b/100 Numpy exercises.md	
@@ -1108,9 +1108,7 @@ print(rows)
 # Author: Robert Kern
 
 Z = np.random.randint(0,5,(10,3))
-E = np.logical_and.reduce(Z[:,1:] == Z[:,:-1], axis=1)
-U = Z[~E]
-print(Z)
+U = Z[Z.max(axis=1) != Z.min(axis=1),:]
 print(U)
 ```
 

From 946647cb400154b1651fad2b1da1bea873290750 Mon Sep 17 00:00:00 2001
From: ibah <ibah@o2.pl>
Date: Thu, 1 Dec 2016 13:42:52 +0100
Subject: [PATCH 2/2] Adding an alternative solution to the 'extract rows with
 unequal values' exercise

---
 100 Numpy exercises.ipynb | 6 ++++++
 100 Numpy exercises.md    | 6 ++++++
 2 files changed, 12 insertions(+)

diff --git a/100 Numpy exercises.ipynb b/100 Numpy exercises.ipynb
index f736fd2..c24372a 100644
--- a/100 Numpy exercises.ipynb	
+++ b/100 Numpy exercises.ipynb	
@@ -2149,6 +2149,12 @@
     "# Author: Robert Kern\n",
     "\n",
     "Z = np.random.randint(0,5,(10,3))\n",
+    "print(Z)\n",
+    "# solution for arrays of all dtypes (including string arrays and record arrays)\n",
+    "E = np.all(Z[:,1:] == Z[:,:-1], axis=1)\n",
+    "U = Z[~E]\n",
+    "print(U)\n",
+    "# soluiton for numerical arrays only, will work for any number of columns in Z\n",
     "U = Z[Z.max(axis=1) != Z.min(axis=1),:]\n",
     "print(U)"
    ]
diff --git a/100 Numpy exercises.md b/100 Numpy exercises.md
index 6a833c3..359e69a 100644
--- a/100 Numpy exercises.md	
+++ b/100 Numpy exercises.md	
@@ -1108,6 +1108,12 @@ print(rows)
 # Author: Robert Kern
 
 Z = np.random.randint(0,5,(10,3))
+print(Z)
+# solution for arrays of all dtypes (including string arrays and record arrays)
+E = np.all(Z[:,1:] == Z[:,:-1], axis=1)
+U = Z[~E]
+print(U)
+# soluiton for numerical arrays only, will work for any number of columns in Z
 U = Z[Z.max(axis=1) != Z.min(axis=1),:]
 print(U)
 ```