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
•          numpy.char.add
•          numpy.char.multiply
•          numpy.char.mod
•          numpy.char.capitalize
•          numpy.char.center
•          numpy.char.decode
•          numpy.char.encode
•          numpy.char.expandtabs
•          numpy.char.join
•          numpy.char.ljust
•          numpy.char.lower
•          numpy.char.lstrip
•          numpy.char.partition
•          numpy.char.replace
•          numpy.char.rjust
•          numpy.char.rpartition
•          numpy.char.rsplit
•          numpy.char.rstrip
•          numpy.char.split
•          numpy.char.splitlines
•          numpy.char.strip
•          numpy.char.swapcase
•          numpy.char.title
•          numpy.char.translate
•          numpy.char.upper
•          numpy.char.zfill
•          numpy.char.equal
•          numpy.char.not_equal
•          numpy.char.greater_equal
•          numpy.char.less_equal
•          numpy.char.greater
•          numpy.char.less
•          numpy.char.compare_chararrays
•          numpy.char.count
•          numpy.char.endswith
•          numpy.char.find
•          numpy.char.index
•          numpy.char.isalpha
•          numpy.char.isalnum
•          numpy.char.isdecimal
•          numpy.char.isdigit
•          numpy.char.islower
•          numpy.char.isnumeric
•          numpy.char.isspace
•          numpy.char.istitle
•          numpy.char.isupper
•          numpy.char.rfind
•          numpy.char.rindex
•          numpy.char.startswith
•          numpy.char.str_len
•          numpy.char.array
•          numpy.char.asarray
•          numpy.char.chararray
•    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
•    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

numpy.char.compare_chararrays（a，b，cmp_op，rstrip ）¶

使用cmp_op指定的比较运算符对两个字符串数组执行逐元素比较。

参量

a，b array_like

要比较的数组。

cmp_op {“ <”，“ <=”，“ ==”，“> =”，“>”，“！=”}

比较类型。

rstrip 布尔

如果为True，则在比较之前删除字符串末尾的空格。

退货

出ndarray

布尔类型的输出数组，其形状与a和b相同。

加薪

ValueError

如果cmp_op无效。

TypeError

如果a或b中的至少一个是非字符串数组

例子

>>> a = np.array(["a", "b", "cde"])
>>> b = np.array(["a", "a", "dec"])
>>> np.compare_chararrays(a, b, ">", True)
array([False,  True, False])