这个pdf是我从excel转换而来,我的本意是要将excel表格中的图表导出来储存在本地。用python怎么做到?
时间: 2024-11-20 11:38:16 浏览: 23
要将Excel表格中的图表导出并保存为PDF文件,可以使用Python中的`openpyxl`和`matplotlib`库来实现。以下是一个示例代码,展示了如何读取Excel文件中的数据,绘制图表,并将其保存为PDF文件:
1. 安装所需的库(如果尚未安装):
```bash
pip install openpyxl matplotlib
```
2. 编写Python脚本:
```python
import openpyxl
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
# 打开Excel文件
workbook = openpyxl.load_workbook('your_excel_file.xlsx')
sheet = workbook.active
# 读取数据
data = []
for row in sheet.iter_rows(min_row=2, values_only=True):
data.append(row)
# 提取列数据
focus = [row[0] for row in data]
t_lu = [row[1] for row in data]
s_ld = [row[2] for row in data]
s_ru = [row[3] for row in data]
t_rd = [row[4] for row in data]
s_avg = [row[5] for row in data]
t_avg = [row[6] for row in data]
st_avg = [row[7] for row in data]
# 创建图表
fig, ax = plt.subplots()
ax.plot(focus, t_lu, label='T_LU', marker='o')
ax.plot(focus, s_ld, label='S_LD', marker='x')
ax.plot(focus, s_ru, label='S_RU', marker='s')
ax.plot(focus, t_rd, label='T_RD', marker='^')
ax.plot(focus, s_avg, label='S_avg', linestyle='--')
ax.plot(focus, t_avg, label='T_avg', linestyle=':')
ax.plot(focus, st_avg, label='(S+T)_avg', linestyle='-.')
ax.set_xlabel('Focus')
ax.set_ylabel('MTF')
ax.set_title('MTF vs Focus')
ax.legend()
# 保存图表为PDF文件
with PdfPages('Focus-MTF.pdf') as pdf:
pdf.savefig(fig)
plt.close()
```
在这个示例中:
- `openpyxl` 用于读取Excel文件中的数据。
- `matplotlib` 用于绘制图表。
- `PdfPages` 用于将图表保存为PDF文件。
请确保将 `'your_excel_file.xlsx'` 替换为你的实际Excel文件路径。运行此脚本后,你会在当前目录下找到一个名为 `Focus-MTF.pdf` 的文件,其中包含了从Excel数据生成的图表。
阅读全文
相关推荐

















