改进这个代码使散点和折线在一张图上生成一张散点折线图：import matplotlib.pyplot as plt # 定义一个函数，用于将实际控制人性质分类为国有和非国有 def gov_or_not(x): gov_list = [1100, 2000, 2100, 2120] if x in gov_list: return '国有' else: return '非国有' # 将实际控制人性质进行分类 df['ownership'] = df['实际控制人性质'].apply(gov_or_not) # 按照企业性质和年份进行分组，计算LSR的均值 lsr_mean = df.groupby(['ownership', '年份'])['LSR'].mean().reset_index() # 分别绘制国有企业和非国有企业的散点图 plt.scatter(lsr_mean[lsr_mean['ownership'] == '国有']['年份'], lsr_mean[lsr_mean['ownership'] == '国有']['LSR'], label='国有企业') plt.scatter(lsr_mean[lsr_mean['ownership'] == '非国有']['年份'], lsr_mean[lsr_mean['ownership'] == '非国有']['LSR'], label='非国有企业') plt.xlabel('年份') plt.ylabel('LSR') plt.legend() plt.show() # 分别绘制国有企业和非国有企业的折线图 plt.plot(lsr_mean[lsr_mean['ownership'] == '国有']['年份'], lsr_mean[lsr_mean['ownership'] == '国有']['LSR'], label='国有企业') plt.plot(lsr_mean[lsr_mean['ownership'] == '非国有']['年份'], lsr_mean[lsr_mean['ownership'] == '非国有']['LSR'], label='非国有企业') plt.xlabel('年份') plt.ylabel('LSR') plt.legend() plt.show()

可以使用plt.plot()函数来绘制折线图，并将两个散点图的绘制代码合并到一起，如下所示：

import matplotlib.pyplot as plt

# 定义一个函数，用于将实际控制人性质分类为国有和非国有
def gov_or_not(x):
    gov_list = [1100, 2000, 2100, 2120]
    if x in gov_list:
        return '国有'
    else:
        return '非国有'

# 将实际控制人性质进行分类
df['ownership'] = df['实际控制人性质'].apply(gov_or_not)

# 按照企业性质和年份进行分组，计算LSR的均值
lsr_mean = df.groupby(['ownership', '年份'])['LSR'].mean().reset_index()

# 绘制散点图和折线图
plt.scatter(lsr_mean[lsr_mean['ownership'] == '国有']['年份'], 
            lsr_mean[lsr_mean['ownership'] == '国有']['LSR'], 
            label='国有企业')
plt.plot(lsr_mean[lsr_mean['ownership'] == '国有']['年份'], 
         lsr_mean[lsr_mean['ownership'] == '国有']['LSR'], 
         linestyle='-', color='blue')

plt.scatter(lsr_mean[lsr_mean['ownership'] == '非国有']['年份'], 
            lsr_mean[lsr_mean['ownership'] == '非国有']['LSR'], 
            label='非国有企业')
plt.plot(lsr_mean[lsr_mean['ownership'] == '非国有']['年份'], 
         lsr_mean[lsr_mean['ownership'] == '非国有']['LSR'], 
         linestyle='-', color='green')

plt.xlabel('年份')
plt.ylabel('LSR')
plt.legend()
plt.show()

这段代码将两个散点图和两个折线图绘制在同一张图中，其中折线图使用plt.plot()函数绘制，使用linestyle参数设置线条样式，使用color参数设置线条颜色。