From 66f74bce83d2b33ae3434241b63316c3812bc208 Mon Sep 17 00:00:00 2001
From: Britta Heymann <britta_hey@web.de>
Date: Wed, 4 Oct 2017 15:01:35 +0200
Subject: [PATCH] Darken color of delay distribution analysis
To make it easier to read the slides
---
toolkit/reportSummary/delayDistributionAnalysis.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/toolkit/reportSummary/delayDistributionAnalysis.py b/toolkit/reportSummary/delayDistributionAnalysis.py
index 035ea834..c5e403da 100644
--- a/toolkit/reportSummary/delayDistributionAnalysis.py
+++ b/toolkit/reportSummary/delayDistributionAnalysis.py
@@ -64,7 +64,7 @@ def main(analysisFileName, messageType, messagePrio, graphicFileName):
# Plot bar chart
plt.subplot(2,1,1)
plt.title('Delay distribution of delivered {} messages\nPriority {}'.format(messageType, messagePrio))
- plt.bar(bins, vals)
+ plt.bar(bins, vals, color='#003a80')
plt.ylabel('Percentage of messages')
plt.grid(True)
axes = plt.gca()
@@ -72,7 +72,7 @@ def main(analysisFileName, messageType, messagePrio, graphicFileName):
# Directly below, plot cumulative chart
plt.subplot(2,1,2)
- plt.plot(bins, [cumulative[bin] for bin in bins])
+ plt.plot(bins, [cumulative[bin] for bin in bins], color='#003a80')
plt.xlabel('Delay in minutes')
plt.ylabel('Cumulative percentage')
plt.grid(True)
--
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