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Fix sample app histogram sample-application

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Improve graph labels and align histogram bars on x-axis labels
Add n= value to show it's not a static image.

Tracked-On: #8025

Signed-off-by: David B. Kinder <david.b.kinder@intel.com>
This commit is contained in:
David B. Kinder 2022-08-19 22:45:33 -07:00 committed by acrnsi-robot
parent 03905be20f
commit 11985014f0
1 changed files with 7 additions and 6 deletions
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13
misc/sample_application/uservm/histapp.py
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@ -40,17 +40,18 @@ def create_hist():
web_sem.release() web_sem.release()
#Transform the data into an array that matplotlib can understand #Transform the data into an array that matplotlib can understand
dataset = transform_data(data) count, dataset = transform_data(data)
#Clear the figure and recreate from the new data #Clear the figure and recreate from the new data
plt.clf() plt.clf()
#Setup the figure and save it #Setup the figure and save it
figure = plt.hist(dataset) bins=np.arange(min(dataset),max(dataset)+2)-0.5
figure = plt.hist(dataset,bins,rwidth=0.5)
plt.title("Latency percentages") plt.title("ACRN Sample Application cyclictest display (unoptimized)")
plt.xlabel("Latency Value (us)") plt.xlabel("Latency Value (microseconds)")
plt.ylabel("Frequency") plt.ylabel("Count Percentage " + f"{count:,}")
plt.savefig("hist.png") plt.savefig("hist.png")
return figure return figure
@ -77,7 +78,7 @@ def transform_data(data_string):
for i in range(0, int(len(data_percentages) / 2)): for i in range(0, int(len(data_percentages) / 2)):
transformed_data_values += ([int(data_percentages[i*2])] * int(data_percentages[i*2 + 1])) transformed_data_values += ([int(data_percentages[i*2])] * int(data_percentages[i*2 + 1]))
return transformed_data_values return int(total_count), transformed_data_values
if __name__ == '__main__': if __name__ == '__main__':