import seaborn as sns # 处理数据 x = ['ny', 'nyc', 'bronx', 'manhatten', 'staten_island','brooklyn','queens'] y = h_ny_income_median,h_nyc_income_median,h_bronx_income_median,h_manhatten_income_median,h_staten_island_income_median,h_brooklyn_income_median,h_queens_income_median fig, ax = plt.subplots(figsize=(10, 5)) sns.set(style='whitegrid') sns.barplot(x=x, y=y) ax.set_xlabel('Median household income') ax.set_ylabel('Median household income in') ax.set_title('5班509利进腾') sns.despine(left=True, bottom=True) 将该代码修改正确
时间: 2023-11-22 21:52:53 浏览: 96
20174490125曾靖 第一次作业_Python数据处理_
以下是修改后的代码:
```python
import seaborn as sns
import matplotlib.pyplot as plt
x = ['ny', 'nyc', 'bronx', 'manhattan', 'staten_island','brooklyn','queens']
y = [h_ny_income_median, h_nyc_income_median, h_bronx_income_median, h_manhattan_income_median, h_staten_island_income_median, h_brooklyn_income_median, h_queens_income_median]
fig, ax = plt.subplots(figsize=(10, 5))
sns.set_style('whitegrid')
sns.barplot(x=x, y=y)
ax.set_xlabel('Boroughs')
ax.set_ylabel('Median household income in USD')
ax.set_title('Median Household Income in NYC Boroughs')
sns.despine(left=True, bottom=True)
```
修改内容:
1. 导入了 matplotlib.pyplot 库
2. 将变量名中的 `manhatten` 修改为正确的 `manhattan`
3. 在 `sns.set_style` 函数中传入了参数 `'whitegrid'`,以设置白色网格样式
4. 在 `ax.set_xlabel` 函数中传入了参数 `'Boroughs'`,以设置 x 轴标签
5. 在 `ax.set_ylabel` 函数中传入了参数 `'Median household income in USD'`,以设置 y 轴标签
6. 在 `ax.set_title` 函数中传入了参数 `'Median Household Income in NYC Boroughs'`,以设置图表标题
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