1.场景分析
遇到一个需要读取本地excel数据，处理后打入到数据库的场景，使用java比较重，python很好的解决了这类问题
2.重难点
本场景遇到的重难点在于：
- 需要根据表格内的背景颜色对数据进行筛选
- 读取非默认Sheet
- 总是出现Values must be of type <class ‘str’>问题，后来分析改用cell_fill.start_color.type来判断即可
3.问题解决
from openpyxl import load_workbook
filename = "metadata_comment_dir" # 读取excel
table="tablename"
workbook = load_workbook(filename)
worksheet = workbook.get_sheet_by_name("SheetName") # 读取Sheet
#总共有多少行
rows = worksheet.max_row
#总共多少行、多少列并分别赋值
# rows, cols = worksheet.max_row, worksheet.max_column
field_comment = {}
flag =0
for i in range(1, rows+1):flag=1ce1 = worksheet.cell(row=i, column=1)field_comment[table]=worksheet.cell(row=i, column=2).value# print(ce1.value)if flag==0:for j in range(i+2, rows):ce2 = worksheet.cell(row=j, column=1)if ce2.value != None:ce3 = worksheet.cell(row=j, column=3)cell_fill=ce2.fill# print(ce1.fill.start_color)# 值为：rgb=None, indexed=None, auto=None, theme=8, tint=0.8, type='theme'if "theme" == cell_fill.start_color.type:# 颜色使用背景颜色cell_color = cell_fill.start_color.themeelif "auto" == cell_fill.start_color.type:# 颜色使用自动颜色cell_color = 'Automatic'elif "indexed" == cell_fill.start_color.type:# 颜色使用索引颜色cell_color = cell_fill.start_color.indexedelse :# 颜色使用rgb颜色cell_color = cell_fill.start_color.rgbfield_comment[ce2.value]=ce3.valueprint(field_comment)else:print(field_comment)breakelif flag==1:print(field_comment)break
 和 strlen()区别?)
 双堆栈MSP/PSP科普)
