From 0f149f38c2707c0877c19c5be09349344cbd3379 Mon Sep 17 00:00:00 2001
From: 2xB <31772910+2xB@users.noreply.github.com>
Date: Sun, 14 Oct 2018 18:49:03 +0200
Subject: [PATCH] No warning for arrays with zeros in logscale

NumPy evaluates log10(0) to -inf, so there is no reason to show the user a RuntimeWarning. Before, if visualizing data arrays containing zeros in logscale, a RuntimeWarning was shown.
---
 pyqtgraph/graphicsItems/PlotDataItem.py | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/pyqtgraph/graphicsItems/PlotDataItem.py b/pyqtgraph/graphicsItems/PlotDataItem.py
index 6797af64..d8a7aed5 100644
--- a/pyqtgraph/graphicsItems/PlotDataItem.py
+++ b/pyqtgraph/graphicsItems/PlotDataItem.py
@@ -514,11 +514,13 @@ class PlotDataItem(GraphicsObject):
                 # Ignore the first bin for fft data if we have a logx scale
                 if self.opts['logMode'][0]:
                     x=x[1:]
-                    y=y[1:]                
-            if self.opts['logMode'][0]:
-                x = np.log10(x)
-            if self.opts['logMode'][1]:
-                y = np.log10(y)
+                    y=y[1:]
+                    
+            with np.errstate(divide='ignore'):
+                if self.opts['logMode'][0]:
+                    x = np.log10(x)
+                if self.opts['logMode'][1]:
+                    y = np.log10(y)
                     
             ds = self.opts['downsample']
             if not isinstance(ds, int):