Python中不同类型的对象有不同的方法,那么如何查看某一类型对象的方法?我们可以使用help()函数
用法help() ,括号中写对象的类型。比如查看数据类型的方法:
help(int)
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| | Methods defined here:
|
| __abs__(...)
| x.__abs__() <==> abs(x)
|
| __add__(...)
| x.__add__(y) <==> x+y
|
| __and__(...)
| x.__and__(y) <==> x&y
|
| __cmp__(...)
| x.__cmp__(y) <==> cmp(x,y)
|
| __coerce__(...)
| x.__coerce__(y) <==> coerce(x, y)
|
| __div__(...)
| x.__div__(y) <==> x/y
|
| __divmod__(...)
| x.__divmod__(y) <==> divmod(x, y)
|
| __float__(...)
| x.__float__() <==> float(x)
|
| __floordiv__(...)
| x.__floordiv__(y) <==> x//y
|
| __format__(...)
|
| __getattribute__(...)
| x.__getattribute__('name') <==> x.name
|
| __getnewargs__(...)
|
| __hash__(...)
| x.__hash__() <==> hash(x)
|
| __hex__(...)
| x.__hex__() <==> hex(x)
|
| __index__(...)
| x[y:z] <==> x[y.__index__():z.__index__()]
|
| __int__(...)
| x.__int__() <==> int(x)
|
| __invert__(...)
| x.__invert__() <==> ~x
|
| __long__(...)
| x.__long__() <==> long(x)
|
| __lshift__(...)
| x.__lshift__(y) <==> x<<y
|
| __mod__(...)
| x.__mod__(y) <==> x%y
|
| __mul__(...)
| x.__mul__(y) <==> x*y
|
| __neg__(...)
| x.__neg__() <==> -x
|
| __nonzero__(...)
| x.__nonzero__() <==> x != 0
|
| __oct__(...)
| x.__oct__() <==> oct(x)
|
| __or__(...)
| x.__or__(y) <==> x|y
|
| __pos__(...)
| x.__pos__() <==> +x
|
| __pow__(...)
| x.__pow__(y[, z]) <==> pow(x, y[, z])
|
| __radd__(...)
| x.__radd__(y) <==> y+x
|
| __rand__(...)
| x.__rand__(y) <==> y&x
|
| __rdiv__(...)
| x.__rdiv__(y) <==> y/x
|
| __rdivmod__(...)
| x.__rdivmod__(y) <==> divmod(y, x)
|
| __repr__(...)
| x.__repr__() <==> repr(x)
|
| __rfloordiv__(...)
| x.__rfloordiv__(y) <==> y//x
|
| __rlshift__(...)
| x.__rlshift__(y) <==> y<<x
|
| __rmod__(...)
| x.__rmod__(y) <==> y%x
|
| __rmul__(...)
| x.__rmul__(y) <==> y*x
|
| __ror__(...)
| x.__ror__(y) <==> y|x
|
| __rpow__(...)
| y.__rpow__(x[, z]) <==> pow(x, y[, z])
|
| __rrshift__(...)
| x.__rrshift__(y) <==> y>>x
|
| __rshift__(...)
| x.__rshift__(y) <==> x>>y
|
| __rsub__(...)
| x.__rsub__(y) <==> y-x
|
| __rtruediv__(...)
| x.__rtruediv__(y) <==> y/x
|
| __rxor__(...)
| x.__rxor__(y) <==> y^x
|
| __str__(...)
| x.__str__() <==> str(x)
|
| __sub__(...)
| x.__sub__(y) <==> x-y
|
| __truediv__(...)
| x.__truediv__(y) <==> x/y
|
| __trunc__(...)
| Truncating an Integral returns itself.
|
| __xor__(...)
| x.__xor__(y) <==> x^y
|
| bit_length(...)
| int.bit_length() -> int
|
| Number of bits necessary to represent self in binary.
| >>> bin(37)
| '0b100101'
| >>> (37).bit_length()
| 6
|
|
像__add__(...)这种前后有两个下划线的都是python内置方法。 1
| x.__add__(y) <==> x+y 表示x.__add__(y) 和x+y是一样的
|
例如: 1
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| >>> x=1
>>> y=2
>>> x.__add__(y)
3
>>> x+y
3
|
|