Python利用pandas与imgkit将Excel转换为图片
本文介绍一种通过Python将Excel文件转换为图片的方法。核心思路是将Excel数据先转换为HTML格式,再利用imgkit库将HTML渲染为图片。代码展示了如何使用pandas处理多Sheet并生成HTML,以及如何调用imgkit完成最终的图片转换,适用于需要批量导出Excel报表为图片的场景。
实现该功能的核心逻辑是:
Excel -> Html -> Image
具体实现代码如下:
# -*- coding:utf-8 -*-
__author__ = 'YangXin'
import sys
import pandas as pd
import codecs
import imgkit
reload(sys)
sys.setdefaultencoding('utf-8')
# ReportImage -> report convert include multiple sheets into pictures
class ReportImage:
def __init__(self):
pass
# excel_html -> convert excel include multiple sheets into multiple html file
# excel_file -> file
# html_path -> path
@staticmethod
def excel_html(excel_file, html_path):
html_list = []
excel_obj = pd.ExcelFile(excel_file)
sheet_list = excel_obj.sheet_names
index = 0
for i in sheet_list:
html_file = html_path + i + ".html"
excel_data = excel_obj.parse(excel_obj.sheet_names[index])
with codecs.open(html_file, 'w', 'utf-8') as html:
html.write(excel_data.to_html(header=True, index=True))
html_list.append(html_file)
index += 1
return html_list
# html_image -> convert htmls into pictures file
# html_list -> list
# image_path -> path
@staticmethod
def html_image(html_list, image_path):
index = 0
for i in html_list:
img_obj = image_path + str(index) + ".png"
with open(i, 'r') as html_file:
imgkit.from_file(html_file, img_obj, options={"encoding":"UTF-8"})
index += 1
if __name__ == '__main__':
html_list = ReportImage.excel_html("/xxx.xlsx", "/yyy/")
ReportImage.html_image(html_list, "/zzz/")
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