def hist(self, fignum=1, subplot=111, **pltkeywords):
import matplotlib.pyplot as plt
import spacepy.toolbox as tb
bins = tb.binHisto(self.y)
fig = plt.figure(fignum)
ax = fig.add_subplot(111)
pp = ax.hist(self.y, bins[1], **pltkeywords)
ax.set_xlabel('Y')
ax.set_ylabel('Counts')
ax.set_title('Histogram')
return pp
def hist(self,fignum=1, subplot=111, **pltkeywords):
import matplotlib.pyplot as plt
import spacepy.toolbox as tb
bins = tb.binHisto(self.y)
fig=plt.figure(fignum)
ax = fig.add_subplot(111)
pp = ax.hist(self.y, bins[1], **pltkeywords)
ax.set_xlabel('Y')
ax.set_ylabel('Counts')
ax.set_title('Histogram')
return pp
def test_binHisto(self):
"""binHisto should return know answer for known input"""
input = list(range(0, 101))
real_ans = (21.47300748096567, 5.0)
ans = tb.binHisto(input)
self.assertEqual(ans, real_ans)
numpy.testing.assert_almost_equal(tb.binHisto([100]*10), (3.3333333333333335, 3.0))
numpy.testing.assert_almost_equal(tb.binHisto([100]), (1.0, 1.0))
realstdout = sys.stdout
output = StringIO.StringIO()
sys.stdout = output
numpy.testing.assert_almost_equal(tb.binHisto([100], verbose=True), (1.0, 1.0))
result = output.getvalue()
output.close()
self.assertEqual(result, "Used sqrt rule\n")
sys.stdout = realstdout
realstdout = sys.stdout
output = StringIO.StringIO()
sys.stdout = output
numpy.testing.assert_almost_equal(tb.binHisto([90, 100]*10, verbose=True), (7.3680629972807736, 1.0))
result = output.getvalue()
output.close()
self.assertEqual(result, "Used F-D rule\n")
sys.stdout = realstdout
def test_binHisto(self):
"""binHisto should return know answer for known input"""
input = list(range(0, 101))
real_ans = (21.47300748096567, 5.0)
ans = tb.binHisto(input)
self.assertEqual(ans, real_ans)
numpy.testing.assert_almost_equal(tb.binHisto([100]*10), (3.3333333333333335, 3.0))
numpy.testing.assert_almost_equal(tb.binHisto([100]), (1.0, 1.0))
realstdout = sys.stdout
output = StringIO.StringIO()
sys.stdout = output
numpy.testing.assert_almost_equal(tb.binHisto([100], verbose=True), (1.0, 1.0))
result = output.getvalue()
output.close()
self.assertEqual(result, "Used sqrt rule\n")
sys.stdout = realstdout
realstdout = sys.stdout
output = StringIO.StringIO()
sys.stdout = output
numpy.testing.assert_almost_equal(tb.binHisto([90, 100]*10, verbose=True), (7.3680629972807736, 1.0))
result = output.getvalue()
output.close()
self.assertEqual(result, "Used F-D rule\n")
sys.stdout = realstdout
]
lines.extend(tmp)
# get a list of all the codes:
codes = set([
re.search(r'INFO\ \-\ Command\:\ (.*)\ took.*seconds', v).groups()[0]
for v in lines
])
ans = {}
for code in codes:
ans[code] = []
# get all the times for those codes
for v in lines:
match = re.search(
r'INFO\ \-\ Command\:\ {0}\ took(.*)\ seconds'.format(code), v)
if match:
ans[code].append(float(match.groups()[0]))
print('Collected {0}'.format(code))
# make all the plots
for k in ans:
fig = plt.figure()
ax = fig.add_subplot(111)
ax.hist(ans[k], tb.binHisto(ans[k])[1])
ax.set_title(k)
ax.set_ylabel('Occurrences')
ax.set_xlabel('Execution Time [s]')
fig.savefig(k + '.png')
print('Plotted {0}'.format(k + '.png'))
