以下是一个示例,演示了如何使用merged_cell_ranges库来合并单元格范围: importmerged_cell_rangesasmcr# 定义一个单元格范围列表cell_ranges=[((1,1),(1,3)),# 合并第一行的1到3列((2,1),(2,2)),# 合并第二行的1到2列((3,1),(3,3))# 合并第三行的1到3列]# 合并单元格范围merged_ranges=...
merged_cells是一个MergedCellRanges对象,其中包含了所有合并单元格的信息。我们可以使用merged_cells.ranges属性获取所有的合并单元格范围: # 获取所有合并单元格的范围merged_ranges=merged_cells.ranges 1. 2. merged_ranges是一个包含合并单元格范围的列表。每个范围都由四个整数表示,分别是起始行、起始列、结束行和...
def unmerge_and_fill_cells(worksheet): all_merged_cell_ranges = list( worksheet.merged_cells.ranges ) for merged_cell_range in all_merged_cell_ranges: merged_cell = merged_cell_range.start_cell worksheet.unmerge_cells(range_string=merged_cell_range.coord) for row_index, col_index in merged...
:param col: 需要获取的单元格所在列 :return:"""cell= sheet.cell(row=row, column=col)ifisinstance(cell, MergedCell):#判断该单元格是否为合并单元格formerged_rangeinsheet.merged_cell_ranges:#循环查找该单元格所属的合并区域ifcell.coordinateinmerged_range:#获取合并区域左上角的单元格作为该单元格的值...
df = pd.read_excel('file1.xlsx', engine='openpyxl')# 获取合并单元格信息 merged_ranges = df....
all_merged_cell_ranges: list[CellRange] = list( worksheet.merged_cells.ranges ) for merged_cell_range in all_merged_cell_ranges: merged_cell: Cell = merged_cell_range.start_cell worksheet.unmerge_cells(range_string=merged_cell_range.coord) # Don't need to convert iterator to list here ...
_cell in worksheet.merged_cells.ranges: # 获取合并单元格的起始行、起始列、结束行、结束列 start_row, start_column, end_row, end_column = merged_cell.bounds # 获取合并单元格的值 merged_cell_value = worksheet.cell(start_row, start_column).value # 打印合并单元格的值 print(merged_cell_value...
from openpyxl import Workbook from openpyxl.utils import get_column_letter from openpyxl.cell import MergedCell # 创建一个新的工作簿 wb = Workbook() ws = wb.active # 合并A1到B2的单元格 ws.merge_cells('A1:B2') # 获取所有合并单元格的范围 merged_cells = ws.merged_cells.ranges # 遍历合并单...
from openpyxl import Workbook from openpyxl.utils import get_column_letter from openpyxl.cell import MergedCell # 创建一个新的工作簿 wb = Workbook() ws = wb.active # 合并A1到B2的单元格 ws.merge_cells('A1:B2') # 获取所有合并单元格的范围 merged_cells = ws.merged_cells.ranges # 遍历合并...
# 使用chunksize分批读取大型文件chunk_size=10000# 定义每个块的大小chunks=pd.read_excel('large_file.xlsx',chunksize=chunk_size)merged_df=pd.DataFrame()forchunkinchunks:# 进行必要的数据处理processed_chunk=process_data(chunk)merged_df=pd.concat([merged_df,processed_chunk],ignore_index=True) ...