DOC: show users how to emulate R c function with iloc slicing and r_ #6499
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Nice comparison! |
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@jorisvandenbossche Thanks! I'll add that. |
| columns = named + np.arange(len(named), 100).tolist() | ||
| df = DataFrame(np.random.randn(100, 100), columns=columns) | ||
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| df.iloc[:, c(r_[:10], r_[24:30], 39, r_[49:100])] |
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Actually, I think you can just do: df.iloc[:, r_[:10, 24:30, 39, 49:100]]?
Another alternative (without the somewhat strange r_ function) is the very basic usage of range (but somewhat longer):
df.iloc[:, range(10) + range(24, 30), range(49, 100)]
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@jorisvandenbossche Awesome. I didn't know that.
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I also just discovered it now :-) So certainly check if it is the same.
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It is, just checked it. Here's the SO question that inspired this addition to the docs.
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@jorisvandenbossche Any more comments? |
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Nope, thanks! Maybe just check tomorrow the rendered dev doc to see if everything looks good |
DOC: show users how to emulate R c function with iloc slicing and r_
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FYI the docs builds almost immediately after it's merged |
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