From 9ecfd0914d9bb1880cc04a127063308d13e66838 Mon Sep 17 00:00:00 2001
From: Bhanu Teja Kasani <40614174+kasanitej@users.noreply.github.com>
Date: Sun, 31 Mar 2019 19:28:48 -0400
Subject: [PATCH 1/3] incorrect error bar colors when NaN values are present
 BUG:13799

---
 lib/matplotlib/axes/_axes.py | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 4630a7568818..4e254649a264 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -3211,6 +3211,19 @@ def errorbar(self, x, y, yerr=None, xerr=None,
 
         if not np.iterable(y):
             y = [y]
+        # The actual errorbar function works even if lengths of x and y
+        # dont matches with "ecolor" inorder to retain the same behavior
+        # the new change will only effect if lengths matches
+        if iterable(ecolor) and len(ecolor) == len(x) and len(ecolor) == len(y):
+            # To get np.nan indices in both x and y lists
+            nan_indices = list(np.where(np.isnan(x))[
+                               0]) + list(np.where(np.isnan(y))[0])
+            # To remove duplicates
+            nan_indices = list(set(nan_indices))
+            ecolor = np.array(ecolor)
+            # To delete colors corrresonding to np.nan in  x and y
+            ecolor = np.delete(ecolor, nan_indices)
+            ecolor = list(ecolor)
 
         if xerr is not None:
             if not np.iterable(xerr):

From 397fb95b4c795fec41012316d294dfaf4a2d0249 Mon Sep 17 00:00:00 2001
From: Bhanu Teja Kasani <40614174+kasanitej@users.noreply.github.com>
Date: Sun, 31 Mar 2019 20:52:16 -0400
Subject: [PATCH 2/3] incorrect error bar colors when NaN values are present
 BUG:13799

---
 lib/matplotlib/axes/_axes.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 4e254649a264..6a670b6d7c93 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -3214,7 +3214,7 @@ def errorbar(self, x, y, yerr=None, xerr=None,
         # The actual errorbar function works even if lengths of x and y
         # dont matches with "ecolor" inorder to retain the same behavior
         # the new change will only effect if lengths matches
-        if iterable(ecolor) and len(ecolor) == len(x) and len(ecolor) == len(y):
+        if np.iterable(ecolor) and len(ecolor) == len(x) and len(ecolor) == len(y):
             # To get np.nan indices in both x and y lists
             nan_indices = list(np.where(np.isnan(x))[
                                0]) + list(np.where(np.isnan(y))[0])

From efc418dff8d1f0eb5dc7f4abc4f7dabee1434774 Mon Sep 17 00:00:00 2001
From: Bhanu Teja Kasani <40614174+kasanitej@users.noreply.github.com>
Date: Sun, 31 Mar 2019 22:14:53 -0400
Subject: [PATCH 3/3] flake 8 changes

---
 lib/matplotlib/axes/_axes.py | 21 +++++++++++----------
 1 file changed, 11 insertions(+), 10 deletions(-)

diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 6a670b6d7c93..0462132e0141 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -3214,16 +3214,17 @@ def errorbar(self, x, y, yerr=None, xerr=None,
         # The actual errorbar function works even if lengths of x and y
         # dont matches with "ecolor" inorder to retain the same behavior
         # the new change will only effect if lengths matches
-        if np.iterable(ecolor) and len(ecolor) == len(x) and len(ecolor) == len(y):
-            # To get np.nan indices in both x and y lists
-            nan_indices = list(np.where(np.isnan(x))[
-                               0]) + list(np.where(np.isnan(y))[0])
-            # To remove duplicates
-            nan_indices = list(set(nan_indices))
-            ecolor = np.array(ecolor)
-            # To delete colors corrresonding to np.nan in  x and y
-            ecolor = np.delete(ecolor, nan_indices)
-            ecolor = list(ecolor)
+        if np.iterable(ecolor):
+            if len(ecolor) == len(x) and len(ecolor) == len(y):
+                # To get np.nan indices in both x and y lists
+                nan_indices = list(np.where(np.isnan(x))[
+                                   0]) + list(np.where(np.isnan(y))[0])
+                # To remove duplicates
+                nan_indices = list(set(nan_indices))
+                ecolor = np.array(ecolor)
+                # To delete colors corrresonding to np.nan in  x and y
+                ecolor = np.delete(ecolor, nan_indices)
+                ecolor = list(ecolor)
 
         if xerr is not None:
             if not np.iterable(xerr):