python将图片写入excel


import json
import pandas as pd
from openpyxl import Workbook
from openpyxl.drawing.image import Image
excel_col_map={
1:"A",
2:"B",
3:"C",
4:"D",
5:"E",
6:"F",
7:"G"
}
def jsonfile_img2excel(json_file,excel_file,img_field):
'''
将json文件中的图片地址,写入到excel表格中
'''
data = pd.read_json(json_file, lines=True)
columns=list(data.columns) # 获取表头 ['name', 'img_path', 'age']
wb = Workbook()
ws = wb.active
# img_col_index = columns.index("img_path")+1
img_col_index = columns.index(img_field)+1
print(f"img_col_index={img_col_index}")# 图片在第几列 -》 2
column_letter= excel_col_map.get(img_col_index) # 第几列 2-》B
ws.append(columns) # excel加入表头

for _, row in data.iterrows():
print(list(row)) # ['deng', 'D:\\code\\yingdao_2\\excel\\1.jpg', 23]
ws.append(list(row))
img = Image(row[img_field])
img.width = 40
img.height = 40
# column_letter = 'C'
ws.column_dimensions[column_letter].width = img.width
print(f"max_row={ws.max_row},max_column={ws.max_column}")
cell = ws.cell(row=ws.max_row, column=img_col_index)
cell.value = None
ws.add_image(img, f'{column_letter}{ws.max_row}')
ws.row_dimensions[ws.max_row].height = 40
wb.save(excel_file)


def img2excel(excel_path,headers,data_list,img_field,img_width=40,img_height=40):
'''
excel_path : 保存的excel文件路径
headers : 表头
data_list : 二维数据列表
img_field: 表头中图片路径的字段名
img_width: 图片宽
img_height: 图片高
'''
wb = Workbook()
ws = wb.active
# 1.添加表头
ws.append(headers) # 获取表头 ['name', 'img_path', 'age']
# 2. 图片路径字段名 img_field='img_path' ,图片存哪列
img_col_index = headers.index(img_field) + 1
# 3. 获取图片所在列的名称 ,比如第2列--》 B列
img_column_letter = excel_col_map.get(img_col_index) # 第几列 2-》B
# 4.将数据写入excel
for data in data_list:
# data 表示一行数据 => ['deng', 'D:\\code\\yingdao_2\\excel\\1.jpg', 23]
ws.append(data)
# 获取图片
img = Image(data.get(img_field))
# 设置图片大小
img.width = img_width
img.height = img_height
# 图片所在列的宽度
ws.column_dimensions[img_column_letter].width = img_width
# 图片所在行的高度
ws.row_dimensions[ws.max_row].height = img_height
print(f"max_row={ws.max_row},max_column={ws.max_column}")
# 定位到图片需要存放的单元格
cell = ws.cell(row=ws.max_row, column=img_col_index)
cell.value = None
ws.add_image(img, f'{img_column_letter}{ws.max_row}')
wb.save(excel_path)

if __name__ == '__main__':
dic={"name":"deng","img_path":r"D:\code\yingdao_2\excel\1.jpg","age":23}
f = open("1.json",'w',encoding="utf-8")
f.write(json.dumps(dic,ensure_ascii=False)+"\n")
f.write(json.dumps(dic,ensure_ascii=False)+"\n")
f.write(json.dumps(dic,ensure_ascii=False)+"\n")
f.flush()
f.close()
json_file="1.json"
excel_file="1.xlsx"
img_field="img_path"
jsonfile_img2excel(json_file,excel_file,img_field)
 

 

posted @ 2023-12-08 08:29  冰底熊  阅读(461)  评论(0编辑  收藏  举报