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More cbook deprecations.#7999

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2 changes: 2 additions & 0 deletionslib/matplotlib/cbook/__init__.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -543,6 +543,7 @@ def file_requires_unicode(x):
return False


@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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isis_scaler supposed to be broader thanis_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.

Expand DownExpand Up@@ -582,6 +583,7 @@ def to_filehandle(fname, flag='rU', return_opened=False):
return fh


@deprecated('2.1')
def is_scalar_or_string(val):
"""Return whether the given object is a scalar or string like."""
return is_string_like(val) or not iterable(val)
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38 changes: 12 additions & 26 deletionslib/mpl_toolkits/mplot3d/axes3d.py
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Expand Up@@ -1503,39 +1503,25 @@ def plot(self, xs, ys, *args, **kwargs):
Other arguments are passed on to
:func:`~matplotlib.axes.Axes.plot`
'''
# FIXME: This argument parsing might be better handled
# when we set later versions of python for
# minimum requirements. Currently at 2.4.
# Note that some of the reason for the current difficulty
# is caused by the fact that we want to insert a new
# (semi-optional) positional argument 'Z' right before
# many other traditional positional arguments occur
# such as the color, linestyle and/or marker.
had_data = self.has_data()
zs = kwargs.pop('zs', 0)
zdir = kwargs.pop('zdir', 'z')

argsi = 0
# First argument is array of zs
if args and cbook.iterable(args[0]) and len(xs) == len(args[0]):
# So, we know that it is an array with
# first dimension the same as xs.
# Next, check to see if the data contained
# therein (if any) is scalar (and not another array).
if len(args[0]) == 0 or cbook.is_scalar(args[0][0]):
zs = args[argsi]
argsi += 1

# First argument is z value
elif args and cbook.is_scalar(args[0]):
zs = args[argsi]
argsi += 1
# `zs` can be passed positionally or as keyword; checking with
# `_is_string_like` matches the behavior of 2D `plot` (via
# `_process_plot_var_args`).
if args and not cbook.is_string_like(args[0]):
zs = args[0]
args = args[1:]
if 'zs' in kwargs:
raise TypeError("plot() for multiple values for argument 'z'")
else:
zs = kwargs.pop('zs', 0)
zdir = kwargs.pop('zdir', 'z')

# Match length
if not cbook.iterable(zs):
zs = np.ones(len(xs)) * zs

lines = Axes.plot(self, xs, ys, *args[argsi:], **kwargs)
lines = Axes.plot(self, xs, ys, *args, **kwargs)
for line in lines:
art3d.line_2d_to_3d(line, zs=zs, zdir=zdir)

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