帮我查查这段代码的错误
时间: 2024-02-11 14:04:04 浏览: 98
这段代码中存在一些错误,主要集中在以下几个地方:
1. 在 `get_gdp_statistics()` 方法中,变量 `year` 没有被定义。您需要在该方法中定义或传入 `year` 变量,以便计算 GDP 增长率。
2. 在 `add_selected_city()` 方法中,如果用户已经选择了 10 个城市,您需要在添加新城市之前检查选择的城市数,而不是在添加新城市后检查。
3. 在 `get_gdp_statistics()` 方法中,如果城市没有足够的 GDP 数据(至少需要 3 年),则在计算 GDP 增长率时会出现除以零的错误。
以下是修改后的代码,已经修复了上述错误:
```
import pandas as pd
import numpy as np
# 定义城市类
class City:
def __init__(self, name, province):
self.name = name
self.province = province
self.gdp_data = {}
def add_gdp_data(self, year, gdp):
self.gdp_data[year] = gdp
def get_gdp_data(self):
return self.gdp_data
def get_gdp_statistics(self, year):
gdp_values = list(self.gdp_data.values())
if len(gdp_values) < 3:
return None
min_gdp = min(gdp_values)
max_gdp = max(gdp_values)
avg_gdp = np.mean(gdp_values)
growth_rate = (self.gdp_data[year + 2] - self.gdp_data[year]) / self.gdp_data[year + 2]
return min_gdp, max_gdp, avg_gdp, growth_rate
# 定义用户类
class User:
def __init__(self, name, phone):
self.name = name
self.phone = phone
self.selected_cities = []
def add_selected_city(self, city):
if len(self.selected_cities) >= 10:
print("You have already selected 10 cities. Please remove a city before adding a new one.")
else:
self.selected_cities.append(city)
print(f"{city.name} added to your selected cities.")
def remove_selected_city(self, city):
if city in self.selected_cities:
self.selected_cities.remove(city)
print(f"{city.name} removed from your selected cities.")
else:
print(f"{city.name} is not in your selected cities.")
def get_selected_cities(self):
return self.selected_cities
# 创建城市实例
city1 = City("Shanghai", "Shanghai")
city2 = City("Beijing", "Beijing")
# 创建用户实例
user1 = User("Alice", "123456789")
# 添加城市到用户的选择列表中
user1.add_selected_city(city1)
user1.add_selected_city(city2)
# 获取用户选择的城市列表
print(user1.get_selected_cities())
# 从选择列表中删除一个城市
user1.remove_selected_city(city1)
# 获取用户选择的城市列表
print(user1.get_selected_cities())
# 在城市实例中添加GDP数据
city1.add_gdp_data(2020, 100)
city1.add_gdp_data(2019, 90)
city1.add_gdp_data(2018, 80)
# 获取城市GDP数据
print(city1.get_gdp_data())
# 获取城市GDP数据统计信息
gdp_stats = city1.get_gdp_statistics(2019)
if gdp_stats is not None:
min_gdp, max_gdp, avg_gdp, growth_rate = gdp_stats
print(f"min GDP: {min_gdp}, max GDP: {max_gdp}, avg GDP: {avg_gdp}, growth rate: {growth_rate}")
else:
print("Cannot calculate GDP statistics due to insufficient data.")
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