Python matplotlib.transforms.Affine2DBase() Examples

The following are 16 code examples of matplotlib.transforms.Affine2DBase(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module matplotlib.transforms , or try the search function .
Example #1
Source File: backend_svg.py    From Computable with MIT License 6 votes vote down vote up 
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 ''
Example #2
Source File: backend_svg.py    From matplotlib-4-abaqus with MIT License 6 votes vote down vote up 
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 ''
Example #3
Source File: backend_svg.py    From neural-network-animation with MIT License 6 votes vote down vote up 
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 ''
Example #4
Source File: backend_svg.py    From ImageFusion with MIT License 6 votes vote down vote up 
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 ''
Example #5
Source File: backend_svg.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
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 ''
Example #6
Source File: polar.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
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
Example #7
Source File: backend_svg.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
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 ''
Example #8
Source File: polar.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
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
Example #9
Source File: backend_svg.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
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 ''
Example #10
Source File: polar.py    From python3_ios with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
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
Example #11
Source File: backend_svg.py    From python3_ios with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
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 ''
Example #12
Source File: polar.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
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
Example #13
Source File: backend_svg.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
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 ''
Example #14
Source File: polar.py    From CogAlg with MIT License 5 votes vote down vote up 
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
Example #15
Source File: backend_svg.py    From CogAlg with MIT License 5 votes vote down vote up 
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 ''
Example #16
Source File: polar.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
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