Python Numpy属性和方法

Python Numpy属性和方法,python,numpy,methods,jupyter-notebook,attributes,Python,Numpy,Methods,Jupyter Notebook,Attributes,我需要帮助修复代码中的错误。Numpy属性和方法。我用星号在每行代码的末尾添加了我得到的错误 a = np.arrange(10,dtype ='int16') v = a.view('int32') print(v) *模块“numpy”没有属性“arrange” import numpy as np arr = np.zeros((1,2,3), dtype = geek.complex128) a = arr.nbytes print(a) import numpy as np x =

我需要帮助修复代码中的错误。Numpy属性和方法。我用星号在每行代码的末尾添加了我得到的错误

a = np.arrange(10,dtype ='int16')
v = a.view('int32')
print(v)
*模块“numpy”没有属性“arrange”

import numpy as np
arr = np.zeros((1,2,3), dtype = geek.complex128)
a = arr.nbytes
print(a)
import numpy as np
x = np.array({[0,1],[2,3]],dtype=np.int32)
print(x.ctypes.data)
arr = np.arrange(5)
repetitions = 2
a = np.repeat(arr,repetitions)
print(a)
n= 10
m= 20
print(sum(10,20))
*未定义名称“极客”

import numpy as np
array = np.arrange(15).reshape(3,5)
print ("array : ", array.flat[2:6])
*模块“numpy”没有属性“arrange”

import numpy as np
arr = np.zeros((1,2,3), dtype = geek.complex128)
a = arr.nbytes
print(a)
import numpy as np
x = np.array({[0,1],[2,3]],dtype=np.int32)
print(x.ctypes.data)
arr = np.arrange(5)
repetitions = 2
a = np.repeat(arr,repetitions)
print(a)
n= 10
m= 20
print(sum(10,20))
*右括号“]”与左括号“{”不匹配,在我修复了括号后,错误是不可拆分列表

import numpy as np
x = np.dtype('12')
g = x.base
print(g)
*不理解数据类型

array = np.arrange(10).respace(5,2)
a = np.compress([0,1],array,axis=0)
print(a)
*模块“numpy”没有属性“arrange”

import numpy as np
arr = np.zeros((1,2,3), dtype = geek.complex128)
a = arr.nbytes
print(a)
import numpy as np
x = np.array({[0,1],[2,3]],dtype=np.int32)
print(x.ctypes.data)
arr = np.arrange(5)
repetitions = 2
a = np.repeat(arr,repetitions)
print(a)
n= 10
m= 20
print(sum(10,20))
*模块“numpy”没有属性“arrange”

import numpy as np
arr = np.zeros((1,2,3), dtype = geek.complex128)
a = arr.nbytes
print(a)
import numpy as np
x = np.array({[0,1],[2,3]],dtype=np.int32)
print(x.ctypes.data)
arr = np.arrange(5)
repetitions = 2
a = np.repeat(arr,repetitions)
print(a)
n= 10
m= 20
print(sum(10,20))
*“int”对象不可编辑

函数为np.arange。请阅读文档

什么是极客

为什么你认为np.dtype'12'可以工作?展示支持它的文档

({[0,1],[2,3]],dtype=np.int32)
{[的平衡显然是错误的。您没有显示更正,因此我无法对以下错误进行评论

Python函数将一个iterable(例如列表)作为参数。您给了它2个数字。再次阅读您的文档