How to use 'numpy array slicing' in Python
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154 def test_RaggedArray_slicing(self): 155 src = np.array(range(60)) 156 a = ra.RaggedArray(array=src, lengths=[10, 20, 30]) 157 158 assert_array_equal(a[:].flatten(), src) 159 assert_array_equal(a[0:2].flatten(), src[0:30]) 160 assert_array_equal(a[1:].flatten(), src[10:]) 161 162 assert_array_equal(a[:, 0:5].flatten(), np.concatenate((src[0:5], 163 src[10:15], 164 src[30:35]))) 165 166 assert_is(type(a[[0, 1]]), type(a)) 167 assert_is(type(a[0]), type(src)) 168 assert_is(type(a[[0]]), type(a)) 169 170 assert_array_equal(a[0, 5:10], src[5:10]) 171 assert_array_equal(a[-1, 5:10], src[35:40]) 172 173 assert_array_equal(a[2, 10:15:2], src[40:45:2]) 174 assert_array_equal(a[0, ::-1], src[9::-1])