简化代码 total_obj_num_distance_dict = {10: 0, 20: 0, 50: 0, 100: 0, 'nocare': 0} tolerance_num_point = {0.015: 0, 0.03: 0, 0.07: 0, 0.15: 0, 1000: 0} tolerance_num_vanish_point = {0.015: 0, 0.03: 0, 0.07: 0, 0.15: 0, 1000: 0} tolerance_num_via_box = {0.015: 0, 0.03: 0, 0.07: 0, 0.15: 0, 1000: 0} tolerance_num_combine = {0.015: 0, 0.03: 0, 0.07: 0, 0.15: 0, 1000: 0} distance_error_sum_point = {0.015: 0, 0.03: 0, 0.07: 0, 0.15: 0, 1000: 0} distance_error_sum_vanish_point = {0.015: 0, 0.03: 0, 0.07: 0, 0.15: 0, 1000: 0} distance_error_sum_via_box = {0.015: 0, 0.03: 0, 0.07: 0, 0.15: 0, 1000: 0} distance_error_sum_combine = {0.015: 0, 0.03: 0, 0.07: 0, 0.15: 0, 1000: 0}
时间: 2024-04-23 14:27:59 浏览: 15
可以使用字典推导式来简化代码,将相似的字典合并为一个字典。具体代码如下所示:
```python
total_obj_num_distance_dict = {10: 0, 20: 0, 50: 0, 100: 0, 'nocare': 0}
tolerance_dict = {0.015: 0, 0.03: 0, 0.07: 0, 0.15: 0, 1000: 0}
tolerance_num_point = tolerance_dict.copy()
tolerance_num_vanish_point = tolerance_dict.copy()
tolerance_num_via_box = tolerance_dict.copy()
tolerance_num_combine = tolerance_dict.copy()
distance_error_sum_point = tolerance_dict.copy()
distance_error_sum_vanish_point = tolerance_dict.copy()
distance_error_sum_via_box = tolerance_dict.copy()
distance_error_sum_combine = tolerance_dict.copy()
```
以上代码使用 `tolerance_dict.copy()` 来复制 `tolerance_dict` 字典中的键值对,以初始化其他字典。这样可以避免重复的定义和初始化步骤,并减少了代码的冗余。
相关问题
total_obj_num_distance_dict = {10: 0, 20: 0, 50: 0, 100: 0, 'nocare': 0} tolerance_num_point = {0.015: 0, 0.03: 0, 0.07: 0, 0.10: 0, 1000: 0} tolerance_num_vanish_point = {0.015: 0, 0.03: 0, 0.07: 0, 0.10: 0, 1000: 0} tolerance_num_via_box = {0.015: 0, 0.03: 0, 0.07: 0, 0.10: 0, 1000: 0} tolerance_num_combine = {0.015: 0, 0.03: 0, 0.07: 0, 0.10: 0, 1000: 0} distance_error_sum_point = {0.015: 0, 0.03: 0, 0.07: 0, 0.10: 0, 1000: 0} distance_error_sum_vanish_point = {0.015: 0, 0.03: 0, 0.07: 0, 0.10: 0, 1000: 0} distance_error_sum_via_box = {0.015: 0, 0.03: 0, 0.07: 0, 0.10: 0, 1000: 0} distance_error_sum_combine = {0.015: 0, 0.03: 0, 0.07: 0, 0.10: 0, 1000: 0}整理代码
可以使用字典的 `items()` 方法来遍历字典的键值对,然后按照需要的格式整理代码。以下是一个示例代码:
```python
def format_dict_code(dictionary):
code = ""
for key, value in dictionary.items():
code += f"{key}: {value}, "
code = "{" + code.rstrip(", ") + "}"
return code
total_obj_num_distance_dict_code = format_dict_code(total_obj_num_distance_dict)
tolerance_num_point_code = format_dict_code(tolerance_num_point)
tolerance_num_vanish_point_code = format_dict_code(tolerance_num_vanish_point)
tolerance_num_via_box_code = format_dict_code(tolerance_num_via_box)
tolerance_num_combine_code = format_dict_code(tolerance_num_combine)
distance_error_sum_point_code = format_dict_code(distance_error_sum_point)
distance_error_sum_vanish_point_code = format_dict_code(distance_error_sum_vanish_point)
distance_error_sum_via_box_code = format_dict_code(distance_error_sum_via_box)
distance_error_sum_combine_code = format_dict_code(distance_error_sum_combine)
print(f"total_obj_num_distance_dict = {total_obj_num_distance_dict_code}")
print(f"tolerance_num_point = {tolerance_num_point_code}")
print(f"tolerance_num_vanish_point = {tolerance_num_vanish_point_code}")
print(f"tolerance_num_via_box = {tolerance_num_via_box_code}")
print(f"tolerance_num_combine = {tolerance_num_combine_code}")
print(f"distance_error_sum_point = {distance_error_sum_point_code}")
print(f"distance_error_sum_vanish_point = {distance_error_sum_vanish_point_code}")
print(f"distance_error_sum_via_box = {distance_error_sum_via_box_code}")
print(f"distance_error_sum_combine = {distance_error_sum_combine_code}")
```
这段代码将会输出整理好的代码,你可以根据需要将其复制到你的程序中。
good_obj = { "o_platform": "苏宁易购" }
这是一个Python字典,key是"o_platform",value是"苏宁易购"。你可以使用以下代码创建和访问这个字典:
```
# 创建字典
good_obj = {"o_platform": "苏宁易购"}
# 访问字典中的值
print(good_obj["o_platform"])
# 输出为:"苏宁易购"
```
字典是Python中非常有用的数据类型,它可以用来存储键值对,可以通过键来访问值。