Python NDArray示例

示例#1

def array(arg, dtype=None):
    """Create N-dimensional array from data
    
       Example:
          array([1, 2, 3])
          array([ [1, 2], [3, 4]])
    """
    if dtype is None:
        return ndarray(NDArray.create(arg))
    return ndarray(NDArray.create(arg, dtype))

示例#2

文件： ndarray.py 项目： Crisam/cs-studio

def array(arg, dtype=None):
    """Create N-dimensional array from data
    
       Example:
          array([1, 2, 3])
          array([ [1, 2], [3, 4]])
    """
    if dtype is None:
        return ndarray(NDArray.create(arg))
    return ndarray(NDArray.create(arg, dtype))

示例#3

文件： ndarray.py 项目： ISISComputingGroup/CSStudio_3_3

def array(arg, dtype=None):
    """Create N-dimensional array from data
    
       Example:
          array([1, 2, 3])
          array([ [1, 2], [3, 4]])
    """
    if dtype is None:
        if isinstance(arg, ndarray):
            return ndarray(arg.nda.clone())
        else:
            return ndarray(NDArray.create(arg))
    return ndarray(NDArray.create(arg, dtype))

示例#4

文件： ndarray.py 项目： ATNF/cs-studio

def array(arg, dtype=None):
    """Create N-dimensional array from data
    
       Example:
          array([1, 2, 3])
          array([ [1, 2], [3, 4]])
    """
    if dtype is None:
        if isinstance(arg, ndarray):
            return ndarray(arg.nda.clone())
        else:
            return ndarray(NDArray.create(arg))
    return ndarray(NDArray.create(arg, dtype))