numba 加速 Python for循环

mei825423531

用numba来加速Python 循环执行不下去 ，求大神指点一二~

#代码
@nb.jit()
def nb1():
    for i in range(len(df1)):
        if df1.iloc[i]['首3邮编'] < '350':
            df1['落地点'].at[i] = 'JFK'
        elif df1.iloc[i]['首3邮编'] >= '790':
            df1['落地点'].at[i] = 'LAX'
        else:
            df1['落地点'].at[i] = 'ORD'


nb1()

# error
Compilation is falling back to object mode WITHOUT looplifting enabled because Function "nb1" failed type inference due to: Cannot determine Numba type of <class 'numba.core.dispatcher.LiftedLoop'>

File "面料克重2.py", line 67:
def nb1():
    for i in range(len(df1)):
    ^

  @nb.jit()


File "面料克重2.py", line 67:
def nb1():
    for i in range(len(df1)):
    ^

  warnings.warn(errors.NumbaDeprecationWarning(msg,

傻眼貓咪

@nb.jit?

z5560636

@nb.jit()

你这个是啥？ 装饰器的话，也没看到你引入包啊？ 是你自己在逗自己玩，还是别人在逗你玩？