How to use the hyperspy.misc.math_tools.isfloat function in hyperspy

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github hyperspy / hyperspy / hyperspy / axes.py View on Github external
def _axes_getter(self, y):
        if y in self._axes:
            return y
        if isinstance(y, basestring):
            axes = list(self._get_axes_in_natural_order())
            while axes:
                axis = axes.pop()
                if y == axis.name:
                    return axis
            raise ValueError("There is no DataAxis named %s" % y)
        elif (isfloat(y.real) and not y.real.is_integer() or
                isfloat(y.imag) and not y.imag.is_integer()):
            raise TypeError("axesmanager indices must be integers, "
                            "complex intergers or strings")
        if y.imag == 0:  # Natural order
            return self._get_axes_in_natural_order()[y]
        elif y.imag == 3:  # Array order
            # Array order
            return self._axes[int(y.real)]
        elif y.imag == 1:  # Navigation natural order
            #
            return self.navigation_axes[int(y.real)]
        elif y.imag == 2:  # Signal natural order
            return self.signal_axes[int(y.real)]
        else:
            raise IndexError("axesmanager imaginary part of complex indices "
                             "must be 0, 1 or 2")
github hyperspy / hyperspy / hyperspy / axes.py View on Github external
def _axes_getter(self, y):
        if y in self._axes:
            return y
        if isinstance(y, basestring):
            axes = list(self._get_axes_in_natural_order())
            while axes:
                axis = axes.pop()
                if y == axis.name:
                    return axis
            raise ValueError("There is no DataAxis named %s" % y)
        elif (isfloat(y.real) and not y.real.is_integer() or
                isfloat(y.imag) and not y.imag.is_integer()):
            raise TypeError("axesmanager indices must be integers, "
                            "complex intergers or strings")
        if y.imag == 0:  # Natural order
            return self._get_axes_in_natural_order()[y]
        elif y.imag == 3:  # Array order
            # Array order
            return self._axes[int(y.real)]
        elif y.imag == 1:  # Navigation natural order
            #
            return self.navigation_axes[int(y.real)]
        elif y.imag == 2:  # Signal natural order
            return self.signal_axes[int(y.real)]
        else:
            raise IndexError("axesmanager imaginary part of complex indices "
                             "must be 0, 1 or 2")
github hyperspy / hyperspy / hyperspy / axes.py View on Github external
----------
        slice_ : {float, int, slice}

        Returns
        -------
        my_slice : slice

        """
        v2i = self.value2index

        if isinstance(slice_, slice):
            start = slice_.start
            stop = slice_.stop
            step = slice_.step
        else:
            if isfloat(slice_):
                start = v2i(slice_)
            else:
                start = self._get_positive_index(slice_)
            stop = start + 1
            step = None

        if isfloat(step):
            step = int(round(step / self.scale))
        if isfloat(start):
            try:
                start = v2i(start)
            except ValueError:
                # The value is below the axis limits
                # we slice from the start.
                start = None
        if isfloat(stop):
github hyperspy / hyperspy / hyperspy / axes.py View on Github external
if isinstance(slice_, slice):
            start = slice_.start
            stop = slice_.stop
            step = slice_.step
        else:
            if isfloat(slice_):
                start = v2i(slice_)
            else:
                start = self._get_positive_index(slice_)
            stop = start + 1
            step = None

        if isfloat(step):
            step = int(round(step / self.scale))
        if isfloat(start):
            try:
                start = v2i(start)
            except ValueError:
                # The value is below the axis limits
                # we slice from the start.
                start = None
        if isfloat(stop):
            try:
                stop = v2i(stop)
            except ValueError:
                # The value is above the axes limits
                # we slice up to the end.
                stop = None

        if step == 0:
            raise ValueError("slice step cannot be zero")
github hyperspy / hyperspy / hyperspy / axes.py View on Github external
"""
        v2i = self.value2index

        if isinstance(slice_, slice):
            start = slice_.start
            stop = slice_.stop
            step = slice_.step
        else:
            if isfloat(slice_):
                start = v2i(slice_)
            else:
                start = self._get_positive_index(slice_)
            stop = start + 1
            step = None

        if isfloat(step):
            step = int(round(step / self.scale))
        if isfloat(start):
            try:
                start = v2i(start)
            except ValueError:
                # The value is below the axis limits
                # we slice from the start.
                start = None
        if isfloat(stop):
            try:
                stop = v2i(stop)
            except ValueError:
                # The value is above the axes limits
                # we slice up to the end.
                stop = None
github hyperspy / hyperspy / hyperspy / axes.py View on Github external
----------
        slice_ : {float, int, slice}

        Returns
        -------
        my_slice : slice

        """
        v2i = self.value2index

        if isinstance(slice_, slice):
            start = slice_.start
            stop = slice_.stop
            step = slice_.step
        else:
            if isfloat(slice_):
                start = v2i(slice_)
            else:
                start = self._get_positive_index(slice_)
            stop = start + 1
            step = None

        if isfloat(step):
            step = int(round(step / self.scale))
        if isfloat(start):
            try:
                start = v2i(start)
            except ValueError:
                if start > self.high_value:
                    # The start value is above the axis limit
                    raise IndexError(
                        "Start value above axis high bound for  axis %s."