More cbook deprecations. #7999
More cbook deprecations. #7999
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The new logic isn't equivalent, but it is certainly a whole lot easier to understand. I am really not sure what edge cases the old logic was trying to catch here. A tenative +1 from me. |
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That's why I wrote "more robust", not "equivalent" :-) The old version would get you the incorrect error message when passing incorrect x, y, z with different lengths, for example. |
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Jeez, given how much cleaner the new version is, I'm happy so long as no tests break. Don't make it more convoluted until we have tests justifying it. |
| @@ -543,6 +543,7 @@ def file_requires_unicode(x): | |||
| return False | |||
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| @deprecated('2.1') | |||
| def is_scalar(obj): | |||
| """return true if *obj* is not string like and is not iterable""" | |||
| return not is_string_like(obj) and not iterable(obj) | |||
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is is_scaler supposed to be broader than is_numlike?
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Arbitrary objects (that are not iterable) are scalars, not numlike. Why?
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'cause that confuses me 'cause aren't scalers numbers? What definition of scalers are we using then?
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We don't use this function and I exactly don't want to get bogged down into defining what its semantics should be.
lib/mpl_toolkits/mplot3d/axes3d.py
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| # `_is_string_like` matches the behavior of 2D `plot` (via | ||
| # `_process_plot_var_args`). | ||
| if args and not is_string_like(args[0]): | ||
| zs = args[0] |
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why is zs = args.pop(0) a bad idea?
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b/c there's no tuple.pop?
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:( sorry got mixed up and thought args was a list.
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yeah, the results of the tests will be what will convince me that this change is ok. |
`is_scalar_or_string` was not used anymore, `is_scalar` was only used in one place (in mplot3d) and I rewrote that snippet into something more robust.
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ok, the tests pass. Is there a place in the docs where we are documenting deprecations? Or does that happen automatically with the decorator? |
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I think we just grep for |
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Thanks! |
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is_scalar_or_stringwas not used anymore,is_scalarwas only used in oneplace (in mplot3d) and I rewrote that snippet into something more robust.