Python cbook.is_numlike方法代碼示例

# 需要導入模塊: from matplotlib import cbook [as 別名]
# 或者: from matplotlib.cbook import is_numlike [as 別名]
def from_any(size, fraction_ref=None):
    """
    Creates Fixed unit when the first argument is a float, or a
    Fraction unit if that is a string that ends with %. The second
    argument is only meaningful when Fraction unit is created.::

      >>> a = Size.from_any(1.2) # => Size.Fixed(1.2)
      >>> Size.from_any("50%", a) # => Size.Fraction(0.5, a)

    """
    if cbook.is_numlike(size):
        return Fixed(size)
    elif cbook.is_string_like(size):
        if size[-1] == "%":
            return Fraction(float(size[:-1])/100., fraction_ref)

    raise ValueError("Unknown format") 

# 需要導入模塊: from matplotlib import cbook [as 別名]
# 或者: from matplotlib.cbook import is_numlike [as 別名]
def is_numlike(x):
        """
        The matplotlib datalim, autoscaling, locators etc work with
        scalars which are the units converted to floats given the
        current unit.  The converter may be passed these floats, or
        arrays of them, even when units are set.  Derived conversion
        interfaces may opt to pass plain-ol unitless numbers through
        the conversion interface and this is a helper function for
        them.
        """
        if iterable(x):
            for thisx in x:
                return is_numlike(thisx)
        else:
            return is_numlike(x) 

# 需要導入模塊: from matplotlib import cbook [as 別名]
# 或者: from matplotlib.cbook import is_numlike [as 別名]
def offset_line(y, yerr):
    """
    Offsets an array *y* by +/- an error and returns a tuple (y - err, y + err).

    The error term can be:

    * A scalar. In this case, the returned tuple is obvious.
    * A vector of the same length as *y*. The quantities y +/- err are computed
      component-wise.
    * A tuple of length 2. In this case, yerr[0] is the error below *y* and
      yerr[1] is error above *y*. For example::

        from pylab import *
        x = linspace(0, 2*pi, num=100, endpoint=True)
        y = sin(x)
        y_minus, y_plus = mlab.offset_line(y, 0.1)
        plot(x, y)
        fill_between(x, ym, y2=yp)
        show()

    """
    if cbook.is_numlike(yerr) or (cbook.iterable(yerr) and len(yerr) == len(y)):
        ymin = y - yerr
        ymax = y + yerr
    elif len(yerr) == 2:
        ymin, ymax = y - yerr[0], y + yerr[1]
    else:
        raise ValueError("yerr must be scalar, 1xN or 2xN")
    return ymin, ymax 

# 需要導入模塊: from matplotlib import cbook [as 別名]
# 或者: from matplotlib.cbook import is_numlike [as 別名]
def offset_line(y, yerr):
    """
    Offsets an array *y* by +/- an error and returns a tuple
    (y - err, y + err).

    The error term can be:

    * A scalar. In this case, the returned tuple is obvious.
    * A vector of the same length as *y*. The quantities y +/- err are computed
      component-wise.
    * A tuple of length 2. In this case, yerr[0] is the error below *y* and
      yerr[1] is error above *y*. For example::

        import numpy as np
        import matplotlib.pyplot as plt

        x = np.linspace(0, 2*np.pi, num=100, endpoint=True)
        y = np.sin(x)
        y_minus, y_plus = mlab.offset_line(y, 0.1)
        plt.plot(x, y)
        plt.fill_between(x, y_minus, y2=y_plus)
        plt.show()

    """
    if cbook.is_numlike(yerr) or (cbook.iterable(yerr) and
                                  len(yerr) == len(y)):
        ymin = y - yerr
        ymax = y + yerr
    elif len(yerr) == 2:
        ymin, ymax = y - yerr[0], y + yerr[1]
    else:
        raise ValueError("yerr must be scalar, 1xN or 2xN")
    return ymin, ymax 

# 需要導入模塊: from matplotlib import cbook [as 別名]
# 或者: from matplotlib.cbook import is_numlike [as 別名]
def is_numlike(x):
        """
        The Matplotlib datalim, autoscaling, locators etc work with
        scalars which are the units converted to floats given the
        current unit.  The converter may be passed these floats, or
        arrays of them, even when units are set.
        """
        if iterable(x):
            for thisx in x:
                return is_numlike(thisx)
        else:
            return is_numlike(x) 

# 需要導入模塊: from matplotlib import cbook [as 別名]
# 或者: from matplotlib.cbook import is_numlike [as 別名]
def offset_line(y, yerr):
    """
    Offsets an array *y* by +/- an error and returns a tuple
    (y - err, y + err).

    The error term can be:

    * A scalar. In this case, the returned tuple is obvious.
    * A vector of the same length as *y*. The quantities y +/- err are computed
      component-wise.
    * A tuple of length 2. In this case, yerr[0] is the error below *y* and
      yerr[1] is error above *y*. For example::

        from pylab import *
        x = linspace(0, 2*pi, num=100, endpoint=True)
        y = sin(x)
        y_minus, y_plus = mlab.offset_line(y, 0.1)
        plot(x, y)
        fill_between(x, ym, y2=yp)
        show()

    """
    if cbook.is_numlike(yerr) or (cbook.iterable(yerr) and
                                  len(yerr) == len(y)):
        ymin = y - yerr
        ymax = y + yerr
    elif len(yerr) == 2:
        ymin, ymax = y - yerr[0], y + yerr[1]
    else:
        raise ValueError("yerr must be scalar, 1xN or 2xN")
    return ymin, ymax