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This allows concatenation across multiple axes simultaneously, with a similar syntax to array creation, but where elements can themselves be arrays. For instance " } ] }, { "__type": "Code", "__tag": 4050, "value": ">>> A = np.eye(2) * 2\n>>> B = np.eye(3) * 3\n>>> np.block([\n... [A, np.zeros((2, 3))],\n... 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In particular " }, { "__type": "InlineCode", "__tag": 4051, "value": "np.gradient" }, { "__type": "Text", "__tag": 4046, "value": " can now take:" } ] }, { "__type": "BulletList", "__tag": 4053, "ordered": true, "start": 1, "children": [ { "__type": "ListItem", "__tag": 4054, "children": [ { "__type": "Paragraph", "__tag": 4045, "children": [ { "__type": "Text", "__tag": 4046, "value": "A single scalar to specify a sample distance for all dimensions." } ] } ] }, { "__type": "ListItem", "__tag": 4054, "children": [ { "__type": "Paragraph", "__tag": 4045, "children": [ { "__type": "Text", "__tag": 4046, "value": "N scalars to specify a constant sample distance for each dimension. i.e. " }, { "__type": "InlineCode", "__tag": 4051, "value": "dx" }, { "__type": "Text", "__tag": 4046, "value": ", " }, { "__type": "InlineCode", "__tag": 4051, "value": "dy" }, { "__type": "Text", "__tag": 4046, "value": ", " }, { "__type": "InlineCode", "__tag": 4051, "value": "dz" }, { "__type": "Text", "__tag": 4046, "value": ", ..." } ] } ] }, { "__type": "ListItem", "__tag": 4054, "children": [ { "__type": "Paragraph", "__tag": 4045, "children": [ { "__type": "Text", "__tag": 4046, "value": "N arrays to specify the coordinates of the values along each dimension of F. 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It is now disabled by default but can be enabled for test builds." } ] } ], "title": [ { "__type": "Text", "__tag": 4046, "value": "NumPy may be built with relaxed stride checking debugging" } ], "level": 2, "target": "tracemalloc" }, { "__type": "Section", "__tag": 4015, "children": [], "title": [ { "__type": "Text", "__tag": 4046, "value": "Improvements" } ], "level": 1, "target": null }, { "__type": "Section", "__tag": 4015, "children": [ { "__type": "Paragraph", "__tag": 4045, "children": [ { "__type": "Text", "__tag": 4046, "value": "Operations where ufunc input and output operands have memory overlap produced undefined results in previous NumPy versions, due to data dependency issues. 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