Python 中的软件工程原理
Adam Spannbauer
Machine Learning Engineer at Eastman





"代码被阅读的次数远多于被编写的次数"
#define our data
my_dict ={
'a' : 10,
'b': 3,
'c' : 4,
'd': 7}
#import needed package
import numpy as np
#helper function
def DictToArray(d):
"""Convert dictionary values to numpy array"""
#extract values and convert
x=np.array(d.values())
return x
print(DictToArray(my_dict))
array([10, 4, 3, 7])
# Import needed package
import numpy as np
# Define our data
my_dict = {'a': 10, 'b': 3, 'c': 4, 'd': 7}
# Helper function
def dict_to_array(d):
"""Convert dictionary values to numpy array"""
# Extract values and convert
x = np.array(d.values())
return x
print(dict_to_array(my_dict))
array([10, 4, 3, 7])


datacamp@server:~$ pip install pycodestyle
datacamp@server:~$ pycodestyle dict_to_array.py
dict_to_array.py:5:9: E203 冒号前的空格
dict_to_array.py:6:14: E131 悬挂缩进的续行未对齐
dict_to_array.py:8:1: E265 块注释应以 '# ' 开头
dict_to_array.py:9:1: E402 顶层导入不在文件开头
dict_to_array.py:11:1: E302 预期 2 个空行,发现 0 个
dict_to_array.py:13:15: E111 缩进不是 4 的倍数

Python 中的软件工程原理