From b24864817c8807890752501a53803c494a19aa6a Mon Sep 17 00:00:00 2001
From: Richard Bryan <rabryan@lucidsci.com>
Date: Thu, 30 Jul 2015 14:00:07 -0400
Subject: [PATCH] use numpy.finfo instead of numpy.MachAr for speedup

numpy.MachAr is expensive to use just to determine
min/max float value; use numpy.finfo instead since
it caches this information.   This results in
significant performance gains when updating axes limits
frequently.
---
 lib/matplotlib/transforms.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/matplotlib/transforms.py b/lib/matplotlib/transforms.py
index 75fda8c1d230..3e1ba4a932ea 100644
--- a/lib/matplotlib/transforms.py
+++ b/lib/matplotlib/transforms.py
@@ -2738,7 +2738,7 @@ def nonsingular(vmin, vmax, expander=0.001, tiny=1e-15, increasing=True):
         swapped = True
 
     maxabsvalue = max(abs(vmin), abs(vmax))
-    if maxabsvalue < (1e6 / tiny) * np.MachAr(float).xmin:
+    if maxabsvalue < (1e6 / tiny) * np.finfo(float).min: 
         vmin = -expander
         vmax = expander