def test_replace_value02(self):
r = bz_array(bcolz.carray([1,2,2]))
r.replace_value(2,'a')
def test_isnan03(self):
r = bz_array(bcolz.carray([1,2,None]))
assert_array_equal(r.isnan().carray, [False, False, False])
def test_isnotnan04(self):
r = bz_array(bcolz.carray([]))
assert_array_equal(r.isnotnan().carray, [])
def test_max06(self):
self.assertTrue(np.isnan(bz_array([6, 4, np.nan, 4, 6, 9]).max(skipna=False)))
def test_init01(self):
return bz_array(None)
def test_max02(self):
self.assertTrue(np.isnan(bz_array([]).max(skipna=False)))
def test_max04(self):
assert_close(bz_array([6, 4, 7, 4, 6, 9]).max(skipna=False), 9)
def test_sum04(self):
assert_close(bz_array([6, 4, 7, 4, 6, 9]).sum(skipna=False), 36.0)
def test_sum05(self):
assert_close(bz_array([6, 4, np.nan, 4, 6, 9]).sum(skipna=True), 30.0)
def test_sum02(self):
assert_close(bz_array([]).sum(skipna=False), 0.0)
def test_sum03(self):
assert_close(bz_array([6, 4, 7, 4, 6, 9]).sum(skipna=True), 36.0)
def test_sum01(self):
assert_close(bz_array([]).sum(skipna=True), 0.0)
def test_replace_list02(self):
r = bz_array(bcolz.carray([1,2,2]))
r.replace_list([1,2], [2,'a'])
def test_replace_list01(self):
r = bz_array(bcolz.carray([1,2,2]))
r.replace_list([1,2], [2,3])
assert_array_equal(r.carray, [2,3,3])
def test_min05(self):
assert_close(bz_array([6, 4, np.nan, 4, 6, 9]).min(skipna=True), 4)
def test_sum07(self):
assert_close(bz_array([np.nan, np.nan]).sum(skipna=True), 0.0)
def test_min07(self):
self.assertTrue(np.isnan(bz_array([np.nan, np.nan]).min(skipna=True)))
def test_sum08(self):
self.assertTrue(np.isnan(bz_array([np.nan, np.nan]).sum(skipna=False)))
def test_max03(self):
assert_close(bz_array([6, 4, 7, 4, 6, 9]).max(skipna=True), 9)
def test_mean03(self):
assert_close(bz_array([6, 4, 7, 4, 6, 9]).mean(skipna=True), 6.0)
def test_max05(self):
assert_close(bz_array([6, 4, np.nan, 4, 6, 9]).max(skipna=True), 9)
def test_mean04(self):
assert_close(bz_array([6, 4, 7, 4, 6, 9]).mean(skipna=False), 6.0)
def test_max08(self):
self.assertTrue(np.isnan(bz_array([np.nan, np.nan]).max(skipna=False)))
def test_min01(self):
self.assertTrue(np.isnan(bz_array([]).min(skipna=True)))
def test_init02(self):
return bz_array(np.array([]))
def test_min03(self):
assert_close(bz_array([6, 4, 7, 4, 6, 9]).min(skipna=True), 4)
def test_isnotnan02(self):
r = bz_array(bcolz.carray([1,np.NaN,2]))
assert_array_equal(r.isnotnan().carray, [True, False, True])
def test_min04(self):
assert_close(bz_array([6, 4, 7, 4, 6, 9]).min(skipna=False), 4)
def test_isnotnan03(self):
r = bz_array(bcolz.carray([1,2,None]))
assert_array_equal(r.isnotnan().carray, [True, True, True])
def test_replace_value01(self):
r = bz_array(bcolz.carray([1,2,2]))
r.replace_value(2,3)
assert_array_equal(r.carray, [1,3,3])
