NumPy NumPy参考

• 数组对象
• 常数
• 通用功能（ufunc）
• 例行程序
•    数组创建例程
•    数组操作例程
•    Binary operations
•    String operations
•    C-Types Foreign Function Interface (numpy.ctypeslib)
•    Datetime Support Functions
•    Data type routines
•    Optionally Scipy-accelerated routines (numpy.dual)
•    Mathematical functions with automatic domain (numpy.emath)
•    Floating point error handling
•    Discrete Fourier Transform (numpy.fft)
•    Financial functions
•    Functional programming
•    NumPy-specific help functions
•    Indexing routines
•       numpy.c_
•       numpy.r_
•       numpy.s_
•       numpy.nonzero
•       numpy.where
•       numpy.indices
•       numpy.ix_
•       numpy.ravel_multi_index
•       numpy.unravel_index
•       numpy.diag_indices
•       numpy.diag_indices_from
•       numpy.mask_indices
•       numpy.tril_indices
•       numpy.tril_indices_from
•       numpy.triu_indices
•       numpy.triu_indices_from
•       numpy.take
•       numpy.take_along_axis
•       numpy.choose
•       numpy.compress
•       numpy.diagonal
•       numpy.select
•       numpy.lib.stride_tricks.as_strided
•       numpy.place
•       numpy.put
•       numpy.put_along_axis
•       numpy.putmask
•       numpy.fill_diagonal
•       numpy.nditer
•             numpy.nditer.close
•             numpy.nditer.copy
•             numpy.nditer.debug_print
•             numpy.nditer.enable_external_loop
•             numpy.nditer.iternext
•             numpy.nditer.remove_axis
•             numpy.nditer.remove_multi_index
•             numpy.nditer.reset
•       numpy.ndindex
•       numpy.nested_iters
•       numpy.flatiter
•       numpy.lib.Arrayterator
•    输入输出
•    线性代数（numpy.linalg）
•    逻辑功能
•    Mathematical functions
•    Matrix library (numpy.matlib)
•    Miscellaneous routines
•    Padding Arrays
•    Polynomials
•    Random sampling (numpy.random)
•    Set routines
•    Sorting, searching, and counting
•    Statistics
•    Test Support (numpy.testing)
•    Window functions
• Packaging (numpy.distutils)
• NumPy Distutils - Users Guide
• NumPy C-API
• NumPy内部
• NumPy和SWIG

方法

nditer.debug_print（）¶

打印nditer实例的当前状态并将调试信息输出到stdout。