我正在尝试使用python格式化excel表格,使用如下函数
def highlight_myrow_cells(sheetnumber, Sheetname ,dataFrame):
Pre_Out_df_ncol = dataFrame.shape[1]
RequiredCol_let = colnum_num_string(Pre_Out_df_ncol)
#identifying the rows that needs to be highlighted
arr = (dataFrame.select_dtypes(include=[bool])).eq(False).any(axis=1).values
ReqRows = np.arange(1, len(dataFrame) + 1)[arr].tolist()
#The ReqRows are a list of values something like [1,2,3,5,6,8,10]
print("Highlighting the Sheet " + Sheetname + " in the output workbook")
# Program is too slow over here---
for i in range(len(ReqRows)):
j = ReqRows[i] + 1
xlwb1.sheets(sheetnumber).Range('A' + str(j) + ":" + RequiredCol_let + str(j)).Interior.ColorIndex = 6
xlwb1.sheets(sheetnumber).Columns.AutoFit()
for i in range(1, Emergency_df.shape[1]):
j = i - 1
RequiredCol_let = colnum_num_string(i)
Required_Column_Name = (Emergency_df.columns[j])
DateChecker1 = contains_word(Required_Column_Name, "Date", "of Death", "Day of Work")
ResultChecker = Required_Column_Name.startswith("Result")
if ResultChecker == False:
if (DateChecker1 == True):
xlwb1.sheets(sheetnumber).Range(Required_Column_Name + ":" + Required_Column_Name).NumberFormat = "m/d/yyyy"
程序基于逻辑突出显示行时速度太慢
我从excel中了解到,如果突出显示使用一系列行,而不是使用一行接一行,则速度非常好
我不想用像stylewriter之类的外部库来实现这一点
既然不能使用线程,我就减少执行每个循环所需的时间。我所知道的方法如下:
这会加快循环的速度(尽管可能没有线程那么快)。希望这有助于解决您的问题
相关问题 更多 >
编程相关推荐