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.title（一）¶

返回字符串或unicode的逐元素标题区分大小写的版本。

标题大小写单词以大写字母开头，所有其余的大写字母均为小写字母。

按元素调用str.title。

对于8位字符串，此方法与语言环境有关。

参量

一个array_like，{STR，unicode的}

输入数组。

退货

出ndarray

str或unicode的输出数组，取决于输入类型

也可以看看

str.title

例子

>>> c=np.array(['a1b c','1b ca','b ca1','ca1b'],'S5'); c
array(['a1b c', '1b ca', 'b ca1', 'ca1b'],
    dtype='|S5')
>>> np.char.title(c)
array(['A1B C', '1B Ca', 'B Ca1', 'Ca1B'],
    dtype='|S5')