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Copy file name to clipboardExpand all lines: src/doc/ndarray_for_numpy_users/mod.rs
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//! ------|-----------|------
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//! `a[:] = 3.` | [`a.fill(3.)`][.fill()] | set all array elements to the same scalar value
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//! `a[:] = b` | [`a.assign(&b)`][.assign()] | copy the data from array `b` into array `a`
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//! `np.concatenate((a,b), axis=1)` | [`concatenate![Axis(1), a, b]`][concatenate!] or [`concatenate(Axis(1), &[a.view(), b.view()])`][concatenate()] | concatenate arrays `a` and `b` along axis 1
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//! `np.stack((a,b), axis=1)` | [`stack![Axis(1), a, b]`][stack!] or [`stack(Axis(1), vec![a.view(), b.view()])`][stack()] | stack arrays `a` and `b` along axis 1
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//! `np.concatenate((a,b), axis=1)` | [`stack![Axis(1), a, b]`][stack!] or [`stack(Axis(1), &[a.view(), b.view()])`][stack()] | concatenate arrays `a` and `b` along axis 1
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//! `np.stack((a,b), axis=1)` | [`stack_new_axis![Axis(1), a, b]`][stack_new_axis!] or [`stack_new_axis(Axis(1), vec![a.view(), b.view()])`][stack_new_axis()] | stack arrays `a` and `b` along axis 1
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//! `a[:,np.newaxis]` or `np.expand_dims(a, axis=1)` | [`a.insert_axis(Axis(1))`][.insert_axis()] | create an array from `a`, inserting a new axis 1
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//! `a.transpose()` or `a.T` | [`a.t()`][.t()] or [`a.reversed_axes()`][.reversed_axes()] | transpose of array `a` (view for `.t()` or by-move for `.reversed_axes()`)
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//! `np.diag(a)` | [`a.diag()`][.diag()] | view the diagonal of `a`
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