Python xlsx 导出格式化

前言

Python 文件导出最简单方法是 pandas中的 to_excel。如何生成具有一定简单格式的文本？个人感觉 xlsxwriter 无论是文档还是使用方法个人感觉都很赞。

目标

• 适用web文件流导出
• 适用脚本化导出
• 具备和pandas结合

代码

实现

1. 支持 pandas DataFrame 、tuple或者list（根据行或者列）写入
2. 大文件推荐保存到本地后读取，web小文件推荐文件流方式。个人感觉web文件保存到本地后通过静态文件方式很low。

from io import BytesIO
import xlsxwriter
from typing import Union

import pandas as pd
import os


class Style:
    """ 格式类 """

    def __init__(self,
                 title_style: dict = None,
                 content_style: dict = None,
                 sheet_name: str = 'Sheet1'
                 ):
        local_title_style = {
            'font': '仿宋',
            'align': 'center',
            'valign': 'center',
            'bold': True,
            'border': None,
            'font_size': 12
        }
        self.title_style = local_title_style if not title_style else title_style
        local_content_style = {
            'font': '仿宋',
            'align': 'center',
            'valign': 'center'
        }
        self.content_style = local_content_style if not content_style else content_style

        self.sheet_name = sheet_name

    def cell_format(self, wb):
        return wb.add_format(self.title_style), wb.add_format(self.content_style)


class DTBase(Style):
    """
    行写入或者列写入数据
    """

    def __init__(self,
                 columns: Union[tuple, list],  # 表头
                 content_w_row: int = 1,  # 预留表头位置 默认从第二行开始写入
                 column_width: int = None,  # 设置列宽 默认不设置
                 is_w_col: bool = True,  # 是否列写入数据 # 默认列
                 data: Union[tuple, list] = None,  # 数据
                 *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.content_w_row = content_w_row
        self.column_width = column_width
        self.is_w_col = is_w_col

        self.data = data
        self.columns = columns

    def write_column(self, ws, data, content_format):
        """列写入"""
        for index, item in enumerate(data):
            ws.write_column(self.content_w_row, index, item, cell_format=content_format)

    def write_row(self, ws, data, content_format):
        """行写入"""
        for index, item in enumerate(data):
            ws.write_row(self.content_w_row + index, 0, item, cell_format=content_format)

    def set_column(self, ws, col_i):
        """设置列宽"""
        ws.set_column(0, col_i, self.column_width)

    def worksheet(self, wb):
        ws = wb.add_worksheet(self.sheet_name)
        # 生成 样式
        columns_format, content_format = self.cell_format(wb)

        # 写入 头
        ws.write_row(0, 0, self.columns, cell_format=columns_format)
        # 写入 内容
        if self.is_w_col:
            self.write_column(ws, self.data, content_format)
        else:
            self.write_row(ws, self.data, content_format)

        if self.column_width:
            self.set_column(ws, len(self.columns) - 1)


class DTFile(DTBase):
    """生成文件"""

    def __init__(self,
                 file_name: str,
                 path: str,
                 *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.file_path = os.path.join(path, file_name)

    def write(self):
        with xlsxwriter.Workbook(self.file_path, {'in_memory': True}) as wb:
            self.worksheet(wb)


class DTBytesIO(DTBase):
    """ 文件流 """

    def write(self):
        output = BytesIO()
        with xlsxwriter.Workbook(output) as wb:
            self.worksheet(wb)
        return output.getvalue()


class PDBase(Style):
    """pandas to excel 修改样式 """

    def __init__(self,
                 df: pd.DataFrame,
                 columns: Union[list, tuple] = None,
                 *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.df = df
        self.columns = columns

    def set_style(self, writer):
        workbook = writer.book
        worksheet = writer.sheets[self.sheet_name]
        # 生成样式
        columns_format, content_format = self.cell_format(workbook)
        # 设置样式
        worksheet.set_column(0, len(self.df) - 1, None, content_format)
        columns = self.df.columns.values if not self.columns else self.columns
        for col_num, value in enumerate(columns):
            worksheet.write(0, col_num, value, columns_format)


class PDFile(PDBase):
    """ DataFrame 生成文件 """

    def __init__(self,
                 file_name: str,
                 path: str,
                 *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.file_path = os.path.join(path, file_name)

    def write(self):
        writer = pd.ExcelWriter(self.file_path, engine='xlsxwriter')
        self.df.to_excel(writer, index=False, header=False, sheet_name=self.sheet_name)
        self.set_style(writer)
        writer.save()


class PDBytes(PDBase):
    """ DataFrame 文件流 """

    def writer(self):
        output = BytesIO()
        writer = pd.ExcelWriter(output, engine='xlsxwriter')
        self.df.to_excel(writer, index=False, header=False, sheet_name=self.sheet_name)
        self.set_style(writer)
        writer.save()
        return output.getvalue()


if __name__ == '__main__':
    # d = (('a', 'b', 'c', 'd'), ('e', 'f', 'g', 'h'), ('j', 'k', 'l', 'm'))
    #
    # t = ('A', 'B', 'C')
    # obj = WorkBookLocalFile(data=d, title=t, path=p, write_col=False, column_width=20)
    # obj.write()
    pass

requirements.txt

numpy==1.23.4
pandas==1.5.1
python-dateutil==2.8.2
pytz==2022.5
six==1.16.0
XlsxWriter==3.0.3

未来

• 目前只支持一个sheet创建，下个版本考虑支持多个sheet导出，为每个sheet导出不同格式。
• 目前只支持简单样式设置。后期准备加入更多的内容

​​gitee​​

未完待续...