一般处理数据使用的是pandas和numpy库,但是填充单元格颜色需要在excel中,使用的是openpyxl库,所以不能直接达到我们的需求,需要进行两个库的链接使用 先说下openpyxl填充色 pandas是直接读取数据,但是openpyxl则不是 必须要sheet处于active状态,而且必须进行sheet选择才可以读取数据
import openpyxl
from openpyxl import load_workbook
wb = load_work(filename='test.xlsx')
work = wb[wb.sheetnames[0]]
openpyxl填充色说明 调用openpyxl中PatternFill 纯色填充使用solid
import openpyxl
from openpyxl.styles import PatternFill
fill = PatternFill('solid',fgColor='FFFF00')
d4 = work['D4']
d4.fill = fill
面临一个问题,我们需要创建Excel的列,比如’A’,‘B’,'C’等等  使用python产生26个英文字母.并进行组合
import math
import string
def cycle_letter(arr,level):
import string
list1 = string.ascii_uppercase
tempArr = []
letterArr = [i for i in list1]
arrNum = len(arr)
if(level==0 or arrNum==0):
return letterArr
for index in range(arrNum):
for letter in letterArr:
tempArr.append(arr[index]+letter)
return tempArr
def reduce_excel_col_name(num):
tempVal = 1
level = 1
while(tempVal):
tempVal = num/(math.pow(26, level))
if(tempVal>1):
level += 1
else:
break
excelArr = []
tempArr = []
for index in range(level):
tempArr = cycle_letter(tempArr,index)
for numIndex in range(len(tempArr)):
if(len(excelArr)<num):
excelArr.append(tempArr[numIndex])
else:
return excelArr
return excelArr
可以填充数字,产生所需要的excel列 例:产生31个  案例: 这个是我们的数据  现在需要把所有大于50(不包含50)的数字,进行黄色标注
import math
import string
import openpyxl
import pandas as pd
from openpyxl import load_workbook
def cycle_letter(arr,level):
list1 = string.ascii_uppercase
tempArr = []
letterArr = [i for i in list1]
arrNum = len(arr)
if(level==0 or arrNum==0):
return letterArr
for index in range(arrNum):
for letter in letterArr:
tempArr.append(arr[index]+letter)
return tempArr
def reduce_excel_col_name(num):
tempVal = 1
level = 1
while(tempVal):
tempVal = num/(math.pow(26, level))
if(tempVal>1):
level += 1
else:
break
excelArr = []
tempArr = []
for index in range(level):
tempArr = cycle_letter(tempArr,index)
for numIndex in range(len(tempArr)):
if(len(excelArr)<num):
excelArr.append(tempArr[numIndex])
else:
return excelArr
return excelArr
charter_list = reduce_excel_col_name(10)
a = []
b = []
for i in range(len(data.values)):
for y in data.values[i]:
if y > 50:
a.append(i)
a.append(data.values[i].tolist().index(y))
b.append(a)
a = []
for i in b:
i[1] = charter_list[i[1]]
for i in b:
i[0] = i[0]+2
list_color_all = [x[1]+str(x[0]) for x in b]
wb = load_workbook(filename='excel_col.xlsx')
work = wb[wb.sheetnames[0]]
fill = PatternFill("solid", fgColor='FFFF00')
for i in list_color_all:
work[i].fill = fill
wb.close()
wb.save('excel_col.xlsx')
运行截图     
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