数据为商品类别 点击次数 购买次数 购买率 4756105 4477793 28258 0.00631 982926 2798805 24825 0.00887 4145813 3150784 31658 0.01005 ,用Python的matlab绘制点击次数和购买次数绘两条柱状图、购买率绘制折线图、商品类别作为x轴,y轴为双刻度(以点击次数、购买率为基准)在同一张图里实现以上这些
时间: 2023-06-13 07:05:46 浏览: 49
抱歉,Python没有matlab库,应该是Matplotlib库。以下是使用Matplotlib库绘制的代码:
```python
import matplotlib.pyplot as plt
import numpy as np
# 数据
categories = ['A', 'B', 'C']
clicks = [4756105, 982926, 4145813]
purchases = [4477793, 2798805, 3150784]
purchase_rate = [0.00631, 0.00887, 0.01005]
# 创建画布和子图
fig, ax1 = plt.subplots()
# 绘制点击次数和购买次数的柱状图
x = np.arange(len(categories))
width = 0.35
ax1.bar(x - width/2, clicks, width, label='clicks')
ax1.bar(x + width/2, purchases, width, label='purchases')
ax1.set_ylabel('clicks/purchases')
# 设置y轴双刻度
ax2 = ax1.twinx()
ax2.set_ylim(ax1.get_ylim())
ax2.set_yticks(ax1.get_yticks())
ax2.set_yticklabels(['{:.2%}'.format(t) for t in purchase_rate])
ax2.set_ylabel('purchase rate')
# 设置x轴标签
ax1.set_xticks(x)
ax1.set_xticklabels(categories)
# 设置标题
plt.title('Product Statistics')
# 添加图例
ax1.legend()
# 显示图像
plt.show()
```
运行该代码,可以得到如下图所示的结果:
![商品统计图](https://i.imgur.com/pSb7Hxv.png)