我有以下代碼：import numpy as npclass circle(object): def __init__(self, radius=3, color='blue', data_type=np.float64): # default values self.radius = radius self.color = color self.data_type = data_type if self.data_type not in [np.float32, np.float64]: raise ValueError('data_type should be np.float32 or np.float64 only') def add_radius(self, r): self.radius = self.radius + np.ceil(r, dtype=self.data_type) return(self.radius) redcircle = circle(radius=10, color='red', data_type=np.float32)redcircle.add_radius(2.323) 當我運行代碼時，出現以下錯誤：---------------------------------------------------------------------------NameError Traceback (most recent call last)<ipython-input-39-27704fa7e57b> in <module>----> 1 class circle(object): 2 def __init__(self, radius=3, color='blue', data_type=np.float64): # default values 3 self.radius = radius 4 self.color = color 5 self.data_type = data_type<ipython-input-39-27704fa7e57b> in circle() 5 self.data_type = data_type 6 ----> 7 if self.data_type not in [np.float32, np.float64]: 8 raise ValueError('dtype should be np.float32 or np.float64 only') 9 NameError: name 'self' is not defined如何在類對象中指定參數，以便在指定的參數值不是類對象所接受的值dtype時引發錯誤？dtype如果有人知道的話，非常感謝。
1 回答
函數式編程
TA貢獻1807條經驗 獲得超9個贊
Python 的結構完全由縮進級別控制：
class circle(object):
def __init__(self, radius=3, color='blue', data_type=np.float64): # default values
self.radius = radius
self.color = color
self.data_type = data_type
# Python assumes this is the end of the __init__ function
# because this next line is at the next higher level
if self.data_type not in [np.float32, np.float64]:
raise ValueError('data_type should be np.float32 or np.float64 only')
# so the above is a fragment that will not run in __init__.
def add_radius(self, r):
self.radius = self.radius + np.ceil(r, dtype=self.data_type)
return(self.radius)
這是否回答你的問題？
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