'Total Raised ($B)''Deal Terms'Investors Count‘ ’Portfolio Exits‘做这四列的热力图

抱歉，我无法在文本聊天中直接绘制热力图。但是，您可以使用Python中的Matplotlib库或使用Excel等电子表格软件来创建热力图。以下是用Matplotlib创建热力图的示例代码：

import matplotlib.pyplot as plt
import numpy as np

# 构建数据
total_raised = [2, 3, 4, 1, 5]
deal_terms = [3, 2, 5, 4, 1]
investors_count = [1, 2, 3, 4, 5]
portfolio_exits = [4, 1, 5, 2, 3]

data = np.array([total_raised, deal_terms, investors_count, portfolio_exits])

# 绘制热力图
fig, ax = plt.subplots()
im = ax.imshow(data, cmap='cool')

# 添加标签等
ax.set_xticks(np.arange(len(total_raised)))
ax.set_yticks(np.arange(len(['Total Raised ($B)', 'Deal Terms', 'Investors Count', 'Portfolio Exits'])))
ax.set_xticklabels(total_raised)
ax.set_yticklabels(['Total Raised ($B)', 'Deal Terms', 'Investors Count', 'Portfolio Exits'])
plt.setp(ax.get_xticklabels(), rotation=45, ha="right", rotation_mode="anchor")

# 在每个格子中添加数值
for i in range(len(total_raised)):
    for j in range(len(['Total Raised ($B)', 'Deal Terms', 'Investors Count', 'Portfolio Exits'])):
        text = ax.text(i, j, data[j, i], ha="center", va="center", color="w")

# 添加标题
ax.set_title("Heatmap of Investment Data")

# 显示图形
plt.show()

执行此代码将绘制出一个热力图，其中四列数据分别显示在每行中，颜色越深表示数据越大。您可以将数据替换为自己的数据，并根据需要进行调整。