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
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•          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
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•    线性代数（numpy.linalg）
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•    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.strip(a, chars=None)¶

For each element in a, return a copy with the leading and trailing characters removed.

Calls str.strip element-wise.

Parameters

aarray-like of str or unicode

charsstr or unicode, optional

The chars argument is a string specifying the set of characters to be removed. If omitted or None, the chars argument defaults to removing whitespace. The chars argument is not a prefix or suffix; rather, all combinations of its values are stripped.

Returns

outndarray

Output array of str or unicode, depending on input type

See also

str.strip

Examples

>>> c = np.array(['aAaAaA', '  aA  ', 'abBABba'])
>>> c
array(['aAaAaA', '  aA  ', 'abBABba'], dtype='<U7')
>>> np.char.strip(c)
array(['aAaAaA', 'aA', 'abBABba'], dtype='<U7')
>>> np.char.strip(c, 'a') # 'a' unstripped from c[1] because whitespace leads
array(['AaAaA', '  aA  ', 'bBABb'], dtype='<U7')
>>> np.char.strip(c, 'A') # 'A' unstripped from c[1] because (unprinted) ws trails
array(['aAaAa', '  aA  ', 'abBABba'], dtype='<U7')