danh
/
pywafo
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

pep8

Browse Source
master
Per.Andreas.Brodtkorb 11 years ago
parent 30b461ea80
commit 4d4ff96376
1 changed files with 31 additions and 28 deletions
Show Stats Download Patch File Download Diff File

59
pywafo/src/wafo/stats/tests/test_binned_statistic.py
Unescape Escape View File

@ -19,7 +19,7 @@ class TestBinnedStatistic(object):
x = self.x
v = self.v
count1, edges1, bc = binned_statistic(x, v, 'count', bins=10)
count1, edges1, _bc = binned_statistic(x, v, 'count', bins=10)
count2, edges2 = np.histogram(x, bins=10)
assert_array_almost_equal(count1, count2)
@ -29,7 +29,7 @@ class TestBinnedStatistic(object):
x = self.x
v = self.v
sum1, edges1, bc = binned_statistic(x, v, 'sum', bins=10)
sum1, edges1, _bc = binned_statistic(x, v, 'sum', bins=10)
sum2, edges2 = np.histogram(x, bins=10, weights=v)
assert_array_almost_equal(sum1, sum2)
@ -39,8 +39,8 @@ class TestBinnedStatistic(object):
x = self.x
v = self.v
stat1, edges1, bc = binned_statistic(x, v, 'mean', bins=10)
stat2, edges2, bc = binned_statistic(x, v, np.mean, bins=10)
stat1, edges1, _bc = binned_statistic(x, v, 'mean', bins=10)
stat2, edges2, _bc = binned_statistic(x, v, np.mean, bins=10)
assert_array_almost_equal(stat1, stat2)
assert_array_almost_equal(edges1, edges2)
@ -49,8 +49,8 @@ class TestBinnedStatistic(object):
x = self.x
v = self.v
stat1, edges1, bc = binned_statistic(x, v, 'std', bins=10)
stat2, edges2, bc = binned_statistic(x, v, np.std, bins=10)
stat1, edges1, _bc = binned_statistic(x, v, 'std', bins=10)
stat2, edges2, _bc = binned_statistic(x, v, np.std, bins=10)
assert_array_almost_equal(stat1, stat2)
assert_array_almost_equal(edges1, edges2)
@ -59,8 +59,8 @@ class TestBinnedStatistic(object):
x = self.x
v = self.v
stat1, edges1, bc = binned_statistic(x, v, 'median', bins=10)
stat2, edges2, bc = binned_statistic(x, v, np.median, bins=10)
stat1, edges1, _bc = binned_statistic(x, v, 'median', bins=10)
stat2, edges2, _bc = binned_statistic(x, v, np.median, bins=10)
assert_array_almost_equal(stat1, stat2)
assert_array_almost_equal(edges1, edges2)
@ -69,7 +69,7 @@ class TestBinnedStatistic(object):
x = self.x[:20]
v = self.v[:20]
count1, edges1, bc = binned_statistic(x, v, 'count', bins=3)
count1, _edges1, bc = binned_statistic(x, v, 'count', bins=3)
bc2 = np.array([3, 2, 1, 3, 2, 3, 3, 3, 3, 1, 1, 3, 3, 1, 2, 3, 1,
1, 2, 1])
@ -86,7 +86,7 @@ class TestBinnedStatistic(object):
mean, bins, _ = binned_statistic(x[:15], data[:15])
mean_range, bins_range, _ = binned_statistic(x, data, range=[(0, 14)])
mean_range2, bins_range2, _ = binned_statistic(x, data, range=(0, 14))
mean_range2, bins_range2, _ = binned_statistic(x, data, range=[(0, 14)])
assert_array_almost_equal(mean, mean_range)
assert_array_almost_equal(bins, bins_range)
@ -98,7 +98,8 @@ class TestBinnedStatistic(object):
y = self.y
v = self.v
count1, binx1, biny1, bc = binned_statistic_2d(x, y, v, 'count', bins=5)
count1, binx1, biny1, _bc = binned_statistic_2d(x, y, v, 'count',
bins=5)
count2, binx2, biny2 = np.histogram2d(x, y, bins=5)
assert_array_almost_equal(count1, count2)
@ -110,7 +111,7 @@ class TestBinnedStatistic(object):
y = self.y
v = self.v
sum1, binx1, biny1, bc = binned_statistic_2d(x, y, v, 'sum', bins=5)
sum1, binx1, biny1, _bc = binned_statistic_2d(x, y, v, 'sum', bins=5)
sum2, binx2, biny2 = np.histogram2d(x, y, bins=5, weights=v)
assert_array_almost_equal(sum1, sum2)
@ -122,8 +123,8 @@ class TestBinnedStatistic(object):
y = self.y
v = self.v
stat1, binx1, biny1, bc = binned_statistic_2d(x, y, v, 'mean', bins=5)
stat2, binx2, biny2, bc = binned_statistic_2d(x, y, v, np.mean, bins=5)
stat1, binx1, biny1, _b = binned_statistic_2d(x, y, v, 'mean', bins=5)
stat2, binx2, biny2, _b = binned_statistic_2d(x, y, v, np.mean, bins=5)
assert_array_almost_equal(stat1, stat2)
assert_array_almost_equal(binx1, binx2)
@ -134,8 +135,8 @@ class TestBinnedStatistic(object):
y = self.y
v = self.v
stat1, binx1, biny1, bc = binned_statistic_2d(x, y, v, 'std', bins=5)
stat2, binx2, biny2, bc = binned_statistic_2d(x, y, v, np.std, bins=5)
stat1, binx1, biny1, _bc = binned_statistic_2d(x, y, v, 'std', bins=5)
stat2, binx2, biny2, _bc = binned_statistic_2d(x, y, v, np.std, bins=5)
assert_array_almost_equal(stat1, stat2)
assert_array_almost_equal(binx1, binx2)
@ -146,8 +147,9 @@ class TestBinnedStatistic(object):
y = self.y
v = self.v
stat1, binx1, biny1, bc = binned_statistic_2d(x, y, v, 'median', bins=5)
stat2, binx2, biny2, bc = binned_statistic_2d(x, y, v, np.median, bins=5)
stat1, binx1, biny1, _ = binned_statistic_2d(x, y, v, 'median', bins=5)
stat2, binx2, biny2, _ = binned_statistic_2d(x, y, v, np.median,
bins=5)
assert_array_almost_equal(stat1, stat2)
assert_array_almost_equal(binx1, binx2)
@ -158,7 +160,8 @@ class TestBinnedStatistic(object):
y = self.y[:20]
v = self.v[:20]
count1, binx1, biny1, bc = binned_statistic_2d(x, y, v, 'count', bins=3)
count1, _binx1, _biny1, bc = binned_statistic_2d(x, y, v, 'count',
bins=3)
bc2 = np.array([17, 11, 6, 16, 11, 17, 18, 17, 17, 7, 6, 18, 16,
6, 11, 16, 6, 6, 11, 8])
@ -172,7 +175,7 @@ class TestBinnedStatistic(object):
X = self.X
v = self.v
count1, edges1, bc = binned_statistic_dd(X, v, 'count', bins=3)
count1, edges1, _bc = binned_statistic_dd(X, v, 'count', bins=3)
count2, edges2 = np.histogramdd(X, bins=3)
assert_array_almost_equal(count1, count2)
@ -182,7 +185,7 @@ class TestBinnedStatistic(object):
X = self.X
v = self.v
sum1, edges1, bc = binned_statistic_dd(X, v, 'sum', bins=3)
sum1, edges1, _bc = binned_statistic_dd(X, v, 'sum', bins=3)
sum2, edges2 = np.histogramdd(X, bins=3, weights=v)
assert_array_almost_equal(sum1, sum2)
@ -192,8 +195,8 @@ class TestBinnedStatistic(object):
X = self.X
v = self.v
stat1, edges1, bc = binned_statistic_dd(X, v, 'mean', bins=3)
stat2, edges2, bc = binned_statistic_dd(X, v, np.mean, bins=3)
stat1, edges1, _bc = binned_statistic_dd(X, v, 'mean', bins=3)
stat2, edges2, _bc = binned_statistic_dd(X, v, np.mean, bins=3)
assert_array_almost_equal(stat1, stat2)
assert_array_almost_equal(edges1, edges2)
@ -202,8 +205,8 @@ class TestBinnedStatistic(object):
X = self.X
v = self.v
stat1, edges1, bc = binned_statistic_dd(X, v, 'std', bins=3)
stat2, edges2, bc = binned_statistic_dd(X, v, np.std, bins=3)
stat1, edges1, _bc = binned_statistic_dd(X, v, 'std', bins=3)
stat2, edges2, _bc = binned_statistic_dd(X, v, np.std, bins=3)
assert_array_almost_equal(stat1, stat2)
assert_array_almost_equal(edges1, edges2)
@ -212,8 +215,8 @@ class TestBinnedStatistic(object):
X = self.X
v = self.v
stat1, edges1, bc = binned_statistic_dd(X, v, 'median', bins=3)
stat2, edges2, bc = binned_statistic_dd(X, v, np.median, bins=3)
stat1, edges1, _bc = binned_statistic_dd(X, v, 'median', bins=3)
stat2, edges2, _bc = binned_statistic_dd(X, v, np.median, bins=3)
assert_array_almost_equal(stat1, stat2)
assert_array_almost_equal(edges1, edges2)
@ -222,7 +225,7 @@ class TestBinnedStatistic(object):
X = self.X[:20]
v = self.v[:20]
count1, edges1, bc = binned_statistic_dd(X, v, 'count', bins=3)
count1, _edges1, bc = binned_statistic_dd(X, v, 'count', bins=3)
bc2 = np.array([63, 33, 86, 83, 88, 67, 57, 33, 42, 41, 82, 83, 92,
32, 36, 91, 43, 87, 81, 81])

Write Preview
Loading…
Cancel
Save