标签：tar drawing cut 数字 font and ges text 第三方库
>>> from openpyxl import Workbook >>> from openpyxl.compat import range >>> from openpyxl.utils import get_column_letter >>> >>> wb = Workbook() >>> >>> dest_filename = ‘empty_book.xlsx‘ >>> >>> ws1 = wb.active >>> ws1.title = "range names" >>> >>> for row in range(1, 40): ... ws1.append(range(600)) >>> >>> ws2 = wb.create_sheet(title="Pi") >>> >>> ws2[‘F5‘] = 3.14 >>> >>> ws3 = wb.create_sheet(title="Data") >>> for row in range(10, 20): ... for col in range(27, 54): ... _ = ws3.cell(column=col, row=row, value="{0}".format(get_column_letter(col))) >>> print(ws3[‘AA10‘].value) AA >>> wb.save(filename = dest_filename)
>>> from openpyxl import load_workbook >>> wb = load_workbook(filename = ‘empty_book.xlsx‘) >>> sheet_ranges = wb[‘range names‘] >>> print(sheet_ranges[‘D18‘].value) 3
注意：在loadworkbook中有几个可以使用的标志
1.guess_types 在读取单元时启用或禁用（默认）类型推断
2.data_only 控制带有公式的单元格是否有公式（默认）或上次Excel读取表的值
3.keep_vba 控制任何可视的基本元素是否被保留（默认）。如果它们被保存了它们仍然是不可编辑的
注意：openpyxl目前没有在Excel文件中读取所有可能的项目，因此如果打开并保存相同的名称，那么图像和图表将从现有文件中丢失
>>> import datetime >>> from openpyxl import Workbook >>> wb = Workbook() >>> ws = wb.active >>> # 使用Python datetime设置日期 >>> ws[‘A1‘] = datetime.datetime(2010, 7, 21) >>> >>> ws[‘A1‘].number_format ‘yyyy-mm-dd h:mm:ss‘ >>> # 您可以在具体情况下启用类型推断 >>> wb.guess_types = True >>> # 使用字符串和%符号设置百分比 >>> ws[‘B1‘] = ‘3.14%‘ >>> wb.guess_types = False >>> ws[‘B1‘].value 0.031400000000000004 >>> >>> ws[‘B1‘].number_format ‘0%‘
>>> from openpyxl import Workbook >>> wb = Workbook() >>> ws = wb.active >>> # 添加一个简单的公式 >>> ws["A1"] = "=SUM(1, 1)" >>> wb.save("formula.xlsx")
注意：你必须使用英文名作为一个函数，函数参数必须用逗号隔开，而不是其他的标点符号，比如分号
openpyxl从来没有计算过公式但是可以检查公式的名称
>>> from openpyxl.utils import FORMULAE >>> "HEX2DEC" in FORMULAE True
>>> from openpyxl.workbook import Workbook >>> >>> wb = Workbook() >>> ws = wb.active >>> >>> ws.merge_cells(‘A2:D2‘) >>> ws.unmerge_cells(‘A2:D2‘) >>> >>> # 相当于 >>> ws.merge_cells(start_row=2, start_column=1, end_row=4, end_column=4) >>> ws.unmerge_cells(start_row=2, start_column=1, end_row=4, end_column=4)
>>> from openpyxl import Workbook >>> from openpyxl.drawing.image import Image >>> >>> wb = Workbook() >>> ws = wb.active >>> ws[‘A1‘] = ‘You should see three logos below‘
>>> # 制作一个图片 >>> img = Image(‘logo.png‘)
>>> # 在单元格旁边添加工作表和锚 >>> ws.add_image(img, ‘A1‘) >>> wb.save(‘logo.xlsx‘)
>>> import openpyxl >>> wb = openpyxl.Workbook() >>> ws = wb.create_sheet() >>> ws.column_dimensions.group(‘A‘,‘D‘, hidden=True) >>> wb.save(‘group.xlsx‘)
openpyxl已经为NumPy类型的浮点数、整数和布尔型提供了支持。使用pandas的时间戳类型支持DateTimes
openpyxl.utils.dataframe.dataframe_to_rows()函数提供了一个简单的方式来处理Pandas Dataframes
from openpyxl.utils.dataframe import dataframe_to_rows wb = Workbook() ws = wb.active for r in dataframe_to_rows(df, index=True, header=True): ws.append(r)
虽然pandas本身支持转换为Excel，但这为客户端代码提供了额外的灵活性，包括将dataframes直接传输到文件的能力。
将一个dataframe转换为高亮显示标题和索引的工作表
wb = Workbook() ws = wb.active for r in dataframe_to_rows(df, index=True, header=True): ws.append(r) for cell in ws[‘A‘] + ws[1]: cell.style = ‘Pandas‘ wb.save("pandas_openpyxl.xlsx")
或者，如果你只想转换数据你可以使用write-only模式
from openpyxl.cell.cell import WriteOnlyCell wb = Workbook(write_only=True) ws = wb.create_sheet() cell = WriteOnlyCell(ws) cell.style = ‘Pandas‘ def format_first_row(row, cell): for c in row: cell.value = c yield cell rows = dataframe_to_rows(df) first_row = format_first_row(next(rows), cell) ws.append(first_row) for row in rows: row = list(row) cell.value = row[0] row[0] = cell ws.append(row) wb.save("openpyxl_stream.xlsx")
这段代码和标准的工作簿同样适用
要将工作表转换为Dataframe，您可以使用values属性。如果工作表没有标题或索引，这很容易
df = DataFrame(ws.values)
如果工作表确实有标题或索引，比如由pandas创建的，那么就需要做更多的工作
data = ws.values cols = next(data)[1:] data = list(data) idx = [r[0] for r in data] data = (islice(r, 1, None) for r in data) df = DataFrame(data, index=idx, columns=cols)
标签：tar drawing cut 数字 font and ges text 第三方库
原文地址：https://www.cnblogs.com/Keys819/p/9315126.html
