Python实现将Excel某范围单元格内容截图

# 解析单元格范围
start_col = openpyxl.utils.column_index_from_string(start_cell[0])
start_row = int(start_cell[1:])
end_col = openpyxl.utils.column_index_from_string(end_cell[0])
end_row = int(end_cell[1:])

# 提取数据
data = [[sheet.cell(row=i, column=j).value or "" for j in range(start_col, end_col + 1)]
       for i in range(start_row, end_row + 1)]

# 创建图形
fig, ax = plt.subplots()
ax.axis('tight')
ax.axis('off')
table = ax.table(cellText=data, loc='center', cellLoc='center')

# 保存图片
file_name = os.path.splitext(os.path.basename(file_path))[0]
output_path = os.path.join(output_folder, f"{file_name}.png")
plt.savefig(output_path, bbox_inches='tight', dpi=300)

import openpyxl
import matplotlib.pyplot as plt
from matplotlib import rcParams

# 设置字体为微软雅黑
rcParams['font.family'] = 'Microsoft YaHei'

# 读取Excel文件
wb = openpyxl.load_workbook(r"C:\Users\小庄的Y9000P\Desktop\数据1.xlsx")
sheet = wb.active

# 用户输入单元格范围
start_cell = "A1"
end_cell = "C3"

# 解析起始和结束单元格的行列
start_col = openpyxl.utils.column_index_from_string(start_cell[0])
start_row = int(start_cell[1:])
end_col = openpyxl.utils.column_index_from_string(end_cell[0])
end_row = int(end_cell[1:])

# 提取单元格内容
data = [[sheet.cell(row=i, column=j).value for j in range(start_col, end_col + 1)]
        for i in range(start_row, end_row + 1)]

# 创建图形和轴
fig, ax = plt.subplots()

# 隐藏轴
ax.axis('tight')
ax.axis('off')

# 创建表格
table = ax.table(cellText=data, loc='center', cellLoc='center')

# 设置字体大小
for (i, j), cell in table.get_celld().items():
    cell.set_fontsize(12)  # 设置字体大小为12
    cell.set_edgecolor('black')  # 设置边框颜色

# 保存为图片
plt.savefig('output.png', bbox_inches='tight', dpi=300)
plt.show()