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# SPDX-License-Identifier: GPL-2.0
#
# Copyright (C) 2019, VMware Inc, Tzvetomir Stoyanov <tz.stoyanov@gmail.com>
# Copyright (C) 2019, VMware Inc, Yordan Karadzhov <ykaradzhov@vmware.com>
import matplotlib.pyplot as plt
import matplotlib.lines as mlines
import numpy as np
import sys
def newline(p1, p2):
ax = plt.gca()
xmin, xmax = ax.get_xbound()
if(p2[0] == p1[0]):
xmin = xmax = p1[0]
ymin, ymax = ax.get_ybound()
else:
ymax = p1[1]+(p2[1]-p1[1])/(p2[0]-p1[0])*(xmax-p1[0])
ymin = p1[1]+(p2[1]-p1[1])/(p2[0]-p1[0])*(xmin-p1[0])
l = mlines.Line2D([xmin,xmax], [ymin,ymax], color='red')
ax.add_line(l)
return l
data = np.loadtxt(fname = sys.argv[1])
x = data[:, 0]
y = data[:, 1]
fig, ax = plt.subplots()
ax.set_xlabel('samples (t)')
ax.set_ylabel('clock offset')
ax.set_title("$\delta$=%i ns" % (max(y) - min(y)))
l = mlines.Line2D(x, y)
ax.add_line(l)
ax.set_xlim(min(x), max(x))
ax.set_ylim(min(y), max(y) )
print(min(y), max(y), max(y) - min(y))
# Tweak spacing to prevent clipping of ylabel
fig.tight_layout()
plt.show()
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