本文整理匯總了Python中matplotlib.transforms.Affine2DBase方法的典型用法代碼示例。如果您正苦於以下問題：Python transforms.Affine2DBase方法的具體用法？Python transforms.Affine2DBase怎麽用？Python transforms.Affine2DBase使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類matplotlib.transforms的用法示例。
在下文中一共展示了transforms.Affine2DBase方法的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: generate_transform
# 需要導入模塊: from matplotlib import transforms [as 別名]
# 或者: from matplotlib.transforms import Affine2DBase [as 別名]
def generate_transform(transform_list=[]):
if len(transform_list):
output = io.StringIO()
for type, value in transform_list:
if type == u'scale' and (value == (1.0,) or value == (1.0, 1.0)):
continue
if type == u'translate' and value == (0.0, 0.0):
continue
if type == u'rotate' and value == (0.0,):
continue
if type == u'matrix' and isinstance(value, Affine2DBase):
value = value.to_values()
output.write(u'%s(%s)' % (type, ' '.join(str(x) for x in value)))
return output.getvalue()
return '' 示例2: generate_transform
# 需要導入模塊: from matplotlib import transforms [as 別名]
# 或者: from matplotlib.transforms import Affine2DBase [as 別名]
def generate_transform(transform_list=[]):
if len(transform_list):
output = io.StringIO()
for type, value in transform_list:
if type == 'scale' and (value == (1.0,) or value == (1.0, 1.0)):
continue
if type == 'translate' and value == (0.0, 0.0):
continue
if type == 'rotate' and value == (0.0,):
continue
if type == 'matrix' and isinstance(value, Affine2DBase):
value = value.to_values()
output.write('%s(%s)' % (type, ' '.join(str(x) for x in value)))
return output.getvalue()
return '' 示例3: generate_transform
# 需要導入模塊: from matplotlib import transforms [as 別名]
# 或者: from matplotlib.transforms import Affine2DBase [as 別名]
def generate_transform(transform_list=[]):
if len(transform_list):
output = io.StringIO()
for type, value in transform_list:
if type == 'scale' and (value == (1.0,) or value == (1.0, 1.0)):
continue
if type == 'translate' and value == (0.0, 0.0):
continue
if type == 'rotate' and value == (0.0,):
continue
if type == 'matrix' and isinstance(value, Affine2DBase):
value = value.to_values()
output.write('%s(%s)' % (
type, ' '.join(short_float_fmt(x) for x in value)))
return output.getvalue()
return '' 示例4: __init__
# 需要導入模塊: from matplotlib import transforms [as 別名]
# 或者: from matplotlib.transforms import Affine2DBase [as 別名]
def __init__(self, scale_transform, limits):
"""
*limits* is the view limit of the data. The only part of
its bounds that is used is the y limits (for the radius limits).
The theta range is handled by the non-affine transform.
"""
mtransforms.Affine2DBase.__init__(self)
self._scale_transform = scale_transform
self._limits = limits
self.set_children(scale_transform, limits)
self._mtx = None 示例5: generate_transform
# 需要導入模塊: from matplotlib import transforms [as 別名]
# 或者: from matplotlib.transforms import Affine2DBase [as 別名]
def generate_transform(transform_list=[]):
if len(transform_list):
output = io.StringIO()
for type, value in transform_list:
if (type == 'scale' and (value == (1,) or value == (1, 1))
or type == 'translate' and value == (0, 0)
or type == 'rotate' and value == (0,)):
continue
if type == 'matrix' and isinstance(value, Affine2DBase):
value = value.to_values()
output.write('%s(%s)' % (
type, ' '.join(short_float_fmt(x) for x in value)))
return output.getvalue()
return ''