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Python使用XlsxWriter库操作Excel详解

作者：微软技术分享

XlsxWriter 是一个功能强大的 Python 模块,专门用于生成 Microsoft Excel 2007及以上版本的电子表格文件,本文主要为大家介绍了如何使用XlsxWriter库进行Excel基本操作,需要的可以参考下

在数据处理和报告生成的领域中，Excel 文件一直是广泛使用的标准格式。为了让 Python 开发者能够轻松创建和修改 Excel 文件，XlsxWriter 库应运而生。XlsxWriter 是一个功能强大的 Python 模块，专门用于生成 Microsoft Excel 2007及以上版本（.xlsx 格式）的电子表格文件。本文将对XlsxWriter进行概述，探讨其主要特点、用法和一些实际应用，并实现绘制各类图例（条形图，柱状图，饼状图）等。

主要特点

安装模块

要开始使用 XlsxWriter，首先需要安装该库。可以通过以下命令使用 pip 安装：

pip install XlsxWriter

XlsxWriter 提供了一个强大而灵活的工具，使得使用 Python 生成 Excel 文件变得简单而高效。无论是用于数据分析、报告生成还是其他领域，XlsxWriter 都为开发者提供了一种简单而可靠的方法，使他们能够充分利用 Excel 的强大功能。在掌握了基本用法后，开发者可以深入研究 XlsxWriter 的高级特性，以满足更复杂的需求。

单行输出函数

函数WriteSingleArticle()调用时传入文档名称，以及传入表头和数据，写出简单的单行记录。

import xlsxwriter

# 写出数据
def WriteSingleArticle(xls_name,header,data):
    workbook = xlsxwriter.Workbook(xls_name)
    worksheet = workbook.add_worksheet()

    # 定义表格样式
    head_style = workbook.add_format({"bold": True, "align": "center", "border": 1, "fg_color": "#D7E4BC"})
    worksheet.set_column("A1:D1", 15)

    # 写出表头
    worksheet.write_row("A1", header, head_style)
    for index in range(0, len(data)):
        worksheet.write_row("A{}".format(index + 2), data[index])

    workbook.close()
    return True

if __name__ == "__main__":
    headings = ["用户名", "密码", "地址"]
    data = [["admin","123456","192.168.1.1"],["admin","123456","192.168.1.1"]]

    ref = WriteSingleArticle("lyshark.xlsx",headings,data)
    print("写出状态: {}".format(ref))

输出效果如下所示；

多行表格输出函数

函数CreateTable(address,data,section)实现了输出一个列表格式的Table，只需传入列表序列即可。

先找到表格生成坐标与大小之间的比值关系，这是第一步，如下是简单的实现固定位置生成表格。

import xlsxwriter

# 设置表格sheet名称
workbook = xlsxwriter.Workbook('lyshark.xlsx')
worksheet = workbook.add_worksheet("系统磁盘统计")

# 设置头部标题IP地址列
merge_format = workbook.add_format({'bold': True,'border': 1,'align': 'center','valign': 'vcenter','fg_color': '#EEAEEE'})
worksheet.merge_range('A9:B12', '192.168.1.1', merge_format)

# 设置表格头部提示,并将前两个表头合并为1个
header = ["IP地址","IP地址","路径","总容量","剩余容量","利用率"]
merge_format1 = workbook.add_format({'bold': True,'border': 1,'align': 'center','valign': 'vcenter','fg_color': '#AEEEEE'})
worksheet.write_row("A8:B12",header,merge_format1)        # 显示表头
worksheet.merge_range('A8:B8',"IP地址",merge_format1)      # 合并表头(合并第一个元素)

# 写出路径列表
data1 = ["/etc/system/","/proc/","/sys","/var/lyshark"]
merge_format2 = workbook.add_format({'bold': True,'border': 1,'valign': 'vcenter','fg_color': '#D7E4BC','align': 'center'})
worksheet.write_column("C9",data1,merge_format2)
worksheet.set_column("C9:C9",30)

# 写出总容量
data2 = ["1024 GB","2048 GB","111 GB","1111 GB"]
merge_format3 = workbook.add_format({'bold': True,'border': 1,'valign': 'vcenter','fg_color': '#D7E4BC','align': 'center'})
worksheet.write_column("D9",data2,merge_format3)
worksheet.set_column("D9:D9",20)

# 写出剩余容量
data3 = ["1024 GB","2048 GB","111 GB","22 GB"]
merge_format4 = workbook.add_format({'bold': True,'border': 1,'valign': 'vcenter','fg_color': '#D7E4BC','align': 'center'})
worksheet.write_column("E9",data3,merge_format4)
worksheet.set_column("E9:E9",20)

# 写出利用率
data4= ["10%","50%","20%","33%"]
merge_format5 = workbook.add_format({'bold': True,'border': 1,'valign': 'vcenter','fg_color': '#D7E4BC','align': 'center'})
worksheet.write_column("F9",data4,merge_format5)
worksheet.set_column("F9:F9",20)

workbook.close()

输出效果如下所示；

继续封装如上代码，将其封装为CreateTable(address,data,section)函数，用户传入表头地址，数据集，以及从第几行开始写数据，则自动生成表单。

import xlsxwriter

workbook = xlsxwriter.Workbook('lyshark.xlsx')
worksheet = workbook.add_worksheet("统计表")

# 创建表结构
def CreateTable(address,data,section):
    # --------------------------------------------------------------------
    # 计算表头列表长度
    header_count = len(data[1])
    print("不带表头的列表长度: {}".format(header_count))

    merge_format1 = workbook.add_format({'bold': True, 'border': 1, 'align': 'center', 'valign': 'vcenter', 'fg_color': '#AEEEEE'})
    # 根据表格列长度 计算出表格大小
    header_range = f"A{section}:B{section+header_count}"
    print("表头总长度 header_range = {}".format(header_range))
    # 写出表头到文件
    worksheet.write_row(header_range, data[0], merge_format1)

    # --------------------------------------------------------------------
    # 计算合并表头偏移,并合并
    header_merge_range = f"A{section}:B{section}"
    print("合并表头偏移 header_merge_range = {}".format(header_merge_range))

    # 合并表头(合并第一个元素)
    header_table = data[0][0]
    worksheet.merge_range(header_merge_range, header_table, merge_format1)
    # worksheet.merge_range(header_merge_range, "IP地址", merge_format1)

    # --------------------------------------------------------------------
    # 计算出表头 所占总单元格大小
    remove_header_count = len(data) - 1
    print("除去表头的列表长度: {}".format(remove_header_count))
    # 此处自己调整列长度
    address_merge_range = f"A{section+1}:B{section  + len(data[0][1])}"
    print("所占总单元格大小 address_merge_range = {} => {}".format(len(data[0][1]),address_merge_range))

    merge_format = workbook.add_format({'bold': True, 'border': 1, 'align': 'center', 'valign': 'vcenter', 'fg_color': '#EEAEEE'})

    # 写出单元格合并大小
    worksheet.merge_range(address_merge_range, address , merge_format)

    # --------------------------------------------------------------------
    # 循环填充数据
    merge_format_index = workbook.add_format(
        {'bold': True, 'border': 1, 'valign': 'vcenter', 'fg_color': '#D7E4BC', 'align': 'center'})

    letter_list = ['C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O',
                   'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']

    # 循环填充数据 最大字段长度为24
    for index in range(0, remove_header_count):
        index_range = f"{letter_list[index]}{section+1}"
        worksheet.write_column(index_range, data[index+1], merge_format_index)

        index_range = f"{letter_list[index]}{section+1}:{letter_list[index]}{section+1}"
        worksheet.set_column(index_range, 30)

    """
        #  不使用循环逐条填充
        merge_format2 = workbook.add_format( {'bold': True, 'border': 1, 'valign': 'vcenter', 'fg_color': '#D7E4BC', 'align': 'center'})

        index_range = "C{}".format(section+1)
        worksheet.write_column(index_range, data[1], merge_format2)
        index_range = "C{}:C{}".format(section+1,section+1)
        worksheet.set_column(index_range, 30)

        index_range = "D{}".format(section+1)
        worksheet.write_column(index_range, data[2], merge_format2)
        index_range = "D{}:D{}".format(section+1,section+1)
        worksheet.set_column(index_range, 30)

        index_range = "E{}".format(section+1)
        worksheet.write_column(index_range, data[2], merge_format2)
        index_range = "E{}:E{}".format(section+1,section+1)
        worksheet.set_column(index_range, 30)
    """
    # 返回计算后的表格的下两个单元的实际偏移位置
    return section + remove_header_count + 3

# 测试恒矩阵
def Test():
    val = \
    [
        ["测试地址", "测试地址","磁盘路径", "总容量", "剩余容量"],
        ["/etc/system/", "/proc/", "/sys", "/user"],
        ["1024 GB", "2048 GB", "12 GB","98 GB"],
        ["1345 GB", "1124 GB", "341 GB", "55 GB"]
    ]

    ref = CreateTable("192.168.1.1",val,1)
    print("返回下一个表格索引: {}".format(ref))

    ref = CreateTable("192.168.1.1",val,ref)
    print("返回下一个表格索引: {}".format(ref))

    workbook.close()

# 测试竖矩阵
def Test2():

    header = ["测试地址", "测试地址","磁盘路径", "总容量", "剩余容量"]

    val = \
    [
        ["/etc/system/", "1024 GB", "256 GB"],
        ["/etc/passwd/", "104 GB", "345GB"],
        ["/etc/username/", "12 GB", "56 GB"],
        ["/etc/lyshark/", "12 GB", "56 GB"]
    ]

    # 横向矩阵转竖向矩阵
    ref_xor = list ( map(list,zip(*val)) )

    # 追加头部
    ref_xor.insert(0, header)
    print(ref_xor)

    ref = CreateTable("192.168.1.1",ref_xor,1)
    print("返回下一个表格索引: {}".format(ref))

    workbook.close()

if __name__ == "__main__":
    Test2()

输出效果如下所示；

柱状图输出函数

简单实现CreateChart(headings,data)柱状图生成函数，通过传入头部标题和数据集列表即可完成表单生成。

import xlsxwriter

workbook = xlsxwriter.Workbook('lyshark.xlsx')
worksheet = workbook.add_worksheet("统计表")

def CreateChart(headings,data):
    # 定义表格样式
    head_style = workbook.add_format({"bold": True, "align": "center", "font": 13})

    # 逐条写入数据
    worksheet.write_row("A1", headings, head_style)
    for i in range(0, len(data)):
        worksheet.write_row("A{}".format(i + 2), data[i])

    # 添加柱状图
    chart = workbook.add_chart({"type": "column"})
    chart.add_series({
        "name": "=统计表!$B$1",              # 图例项
        "categories": "=统计表!$A$2:$A$10",  # X轴Item名称
        "values": "=统计表!$B$2:$B$10"       # X轴Item值
    })
    chart.add_series({
        "name": "=统计表!$C$1",
        "categories": "=统计表!$A$2:$A$10",
        "values": "=统计表!$C$2:$C$10"
    })
    chart.add_series({
        "name": "=统计表!$D$1",
        "categories": "=统计表!$A$2:$A$10",
        "values": "=统计表!$D$2:$D$10"
    })

    # 添加柱状图标题
    chart.set_title({"name": "性能统计柱状图"})
    chart.set_style(12)

    # 在G2处绘制
    worksheet.insert_chart("G2", chart)
    workbook.close()

if __name__ == "__main__":
    headings = ["主机地址", "CPU利用率", "内存利用率", "交换分区"]
    data = [["192.168.1.100", 88, 36, 66], ["192.168.1.200", 98, 89, 66], ["192.168.1.220", 88, 100, 32]]

    # 循环添加模拟数据
    for i in range(1, 100):
        s = ["192.168.1.{}".format(i), i, i, i]
        data.append(s)

    CreateChart(headings,data)

输出效果如下所示；

条形图输出函数

封装CreateChart(headings,data)函数实现输出条形图，并将前十的数据绘成图展示在右侧。

import xlsxwriter

workbook = xlsxwriter.Workbook('lyshark.xlsx')
worksheet = workbook.add_worksheet("统计表")

def CreateChart(headings,data):
    # 定义表格样式
    head_style = workbook.add_format({"bold": True, "align": "center", "fg_color": "#D7E4BC"})
    worksheet.set_column("A1:D1", 15)

    # 逐条写入数据
    worksheet.write_row("A1", headings, head_style)
    for i in range(0, len(data)):
        worksheet.write_row("A{}".format(i + 2), data[i])

    # 添加条形图，显示前十个元素
    chart = workbook.add_chart({"type": "line"})
    chart.add_series({
        "name": "=统计表!$B$1",              # 图例项
        "categories": "=统计表!$A$2:$A$10",  # X轴Item名称
        "values": "=统计表!$B$2:$B$10"       # X轴Item值
    })
    chart.add_series({
        "name": "=统计表!$C$1",
        "categories": "=统计表!$A$2:$A$10",
        "values": "=统计表!$C$2:$C$10"
    })
    chart.add_series({
        "name": "=统计表!$D$1",
        "categories": "=统计表!$A$2:$A$10",
        "values": "=统计表!$D$2:$D$10"
    })

    # 添加柱状图标题
    chart.set_title({"name": "负载统计条形图"})
    # chart.set_style(8)

    chart.set_size({'width': 1000, 'height': 500})
    chart.set_legend({'position': 'top'})

    # 在F2处绘制
    worksheet.insert_chart("F2", chart)
    workbook.close()

if __name__ == "__main__":
    headings = ["获取时间", "1分钟负载", "5分钟负载", "15分钟负载"]
    data = [["12:01", 0.05, 0.7, 0.006], ["12:02", 0.5, 0.08, 0.06], ["12:03", 0.7, 1, 2.1]]
    CreateChart(headings,data)

输出效果如下所示；

饼状图输出函数

函数CreateChart(headings,data)用于生成饼状图，实现对主机以及主机数量的图形化展示。

import xlsxwriter

workbook = xlsxwriter.Workbook('lyshark.xlsx')
worksheet = workbook.add_worksheet("统计表")

def CreateChart(headings,data):
    # 定义表格样式
    head_style = workbook.add_format({"bold": True, "align": "center", "fg_color": "#D7E4BC"})
    worksheet.set_column("A1:D1", 15)

    # 逐条写入数据
    worksheet.write_row("A1", headings, head_style)
    for i in range(0, len(data)):
        worksheet.write_row("A{}".format(i + 2), data[i])

    # 添加条形图，显示前十个元素
    chart = workbook.add_chart({"type": "pie"})
    chart.add_series({
        "name": "=统计表!$B$1",             # 图例项
        "categories": "=统计表!$A$2:$A$4",  # X轴 Item名称
        "values": "=统计表!$B$2:$B$4"       # X轴Item值
    })

    # 添加饼状图
    chart.set_title({"name": "系统版本分布"})
    chart.set_size({'width': 600, 'height': 300})
    chart.set_legend({'position': 'right'})

    # 在D2处绘制
    worksheet.insert_chart("D2", chart)
    workbook.close()

if __name__ == "__main__":
    headings = ["系统版本", "数量"]
    data = [["Suse", 30], ["Centos", 25], ["AIX", 15]]
    CreateChart(headings,data)

输出效果如下所示；

实现绘图类

通过调用xlsxwriter第三方库,实现绘制各类通用图形,并保存为XLS文档格式.

import xlsxwriter

class DrawChart():
    def __init__(self,workbook):
        self.workbook = xlsxwriter.Workbook(workbook)

    # 排序函数,以第三列为条件排列
    def cpu_takeSecond(self,elem):
        return int(elem[3])
    def mem_taskSecond(self,elem):
        return int(elem[1])

    # 封装统计主机磁盘使用情况
    def CreateDiskTable(self,worksheet,address,data,section):
        # 添加统计名称 例如: 磁盘统计
        worksheet = self.workbook.add_worksheet(worksheet)
        merge_format = self.workbook.add_format(
            {'bold': True, 'border': 1, 'align': 'center', 'valign': 'vcenter', 'fg_color': '#EEAEEE'})

        header_count = len(data[1])
        merge_format1 = self.workbook.add_format(
            {'bold': True, 'border': 1, 'align': 'center', 'valign': 'vcenter', 'fg_color': '#AEEEEE'})

        # 根据磁盘路径计算出表格大小
        header_range = "A{}:B{}".format(section,section+header_count)
        worksheet.write_row(header_range, data[0], merge_format1)  # 显示表头

        # 计算合并表头偏移
        header_merge_range = "A{}:B{}".format(section,section)
        worksheet.merge_range(header_merge_range, "巡检IP地址", merge_format1)  # 合并表头(合并第一个元素)

        # 计算出地址所占总单元格大小
        address_merge_range = "A{}:B{}".format(section+1,section+header_count)
        worksheet.merge_range(address_merge_range, address , merge_format)  #需要计算出来，根据传入分区数量

        # 通过计算得到磁盘路径所对应到表中的位置
        merge_format2 = self.workbook.add_format(
            {'bold': True, 'border': 1, 'valign': 'vcenter', 'fg_color': '#D7E4BC'})

        index_range = "C{}".format(section+1)
        worksheet.write_column(index_range, data[1], merge_format2)
        index_range = "C{}:C{}".format(section+1,section+1)
        worksheet.set_column(index_range, 30)

        # 计算出总容量对应到表中的位置
        merge_format3 = self.workbook.add_format(
            {'bold': True, 'border': 1, 'valign': 'vcenter', 'fg_color': '#D7E4BC', 'align': 'center'})

        index_range = "D{}".format(section + 1)
        worksheet.write_column(index_range, data[2], merge_format3)

        index_range = "D{}:D{}".format(section + 1, section + 1)
        worksheet.set_column(index_range, 20)

        # 计算出剩余容量对应到表中的位置
        merge_format4 = self.workbook.add_format(
            {'bold': True, 'border': 1, 'valign': 'vcenter', 'fg_color': '#D7E4BC', 'align': 'center'})
        index_range = "E{}".format(section + 1)
        worksheet.write_column(index_range, data[3], merge_format4)
        index_range = "E{}:E{}".format(section + 1, section + 1)
        worksheet.set_column(index_range, 20)

        # 计算出利用率对应到表中的位置
        merge_format5 = self.workbook.add_format(
            {'bold': True, 'border': 1, 'valign': 'vcenter', 'fg_color': '#D7E4BC', 'align': 'center'})

        index_range = "F{}".format(section + 1)
        worksheet.write_column(index_range, data[4], merge_format5)
        index_range = "F{}:F{}".format(section + 1, section + 1)
        worksheet.set_column(index_range, 20)

        # 返回计算后的表格的下两个单元的实际偏移位置
        return section + header_count + 3

    # 创建CPU利用率百分比,并统计前十
    def CreateCpuUsedTable(self,worksheet,header,data):
        worksheet = self.workbook.add_worksheet(worksheet)

        # 设置头部颜色,并写入头部数据
        head_style = self.workbook.add_format({"bold": True, "align": "center", "fg_color": "#D7E4BC"})
        worksheet.write_row("A1", header, head_style)

        # 设置头部列宽
        worksheet.set_column("A1:D1", 15)

        # 排序,统计第三列数据，将最大的放在最前面，以此向下
        data.sort(key=self.cpu_takeSecond, reverse=True)

        # 将数据批量添加到表格中
        for x in range(0,len(data)):
            worksheet.write_row("A{}".format(x + 2), data[x])

        # --------------------------------------------------------------
        # 添加柱状图(开始绘图)
        chart = self.workbook.add_chart({"type": "column"})
        chart.add_series({
            "name": "=CPU利用率!$B$1",              # 图例项(也就是CPU内核态)
            "categories": "=CPU利用率!$A$2:$A$10",  # X轴 Item名称
            "values": "=CPU利用率!$B$2:$B$10"       # X轴Item值
        })
        chart.add_series({
            "name": "=CPU利用率!$C$1",
            "categories": "=CPU利用率!$A$2:$A$10",
            "values": "=CPU利用率!$C$2:$C$10"
        })
        chart.add_series({
            "name": "=CPU利用率!$D$1",
            "categories": "=CPU利用率!$A$2:$A$10",
            "values": "=CPU利用率!$D$2:$D$10"
        })

        # 添加柱状图标题
        chart.set_title({"name": "CPU 性能统计柱状图"})
        # chart.set_style(8)

        chart.set_x_axis({
            'major_gridlines': {
                'visible': True,
                'line': {'width': 1.25, 'dash_type': 'dash'}
            },
        })

        chart.set_size({'width': 900, 'height': 500})
        chart.set_legend({'position': 'top'})
        chart.set_table({'show_keys': True})

        # 在F2处绘制
        worksheet.insert_chart("F2", chart)

    # 内存利用率统计
    def CreateMemoryTable(self, worksheet, header, data):
        worksheet = self.workbook.add_worksheet(worksheet)

        # 设置头部颜色,并写入头部数据
        head_style = self.workbook.add_format({"bold": True, "align": "center", "fg_color": "#D7E4BC"})
        worksheet.write_row("A1", header, head_style)

        # 设置头部列宽
        worksheet.set_column("A1:D1", 15)

        # 排序,统计第三列数据，将最大的放在最前面，以此向下
        data.sort(key=self.mem_taskSecond, reverse=True)

        # 将数据批量添加到表格中
        for x in range(0,len(data)):
            worksheet.write_row("A{}".format(x + 2), data[x])

        # --------------------------------------------------------------
        # 添加柱状图(横向图)
        chart = self.workbook.add_chart({"type": "bar"})
        chart.add_series({
            "name": "=内存利用率!$B$1",
            "categories": "=内存利用率!$A$2:$A$10",
            "values": "=内存利用率!$B$2:$B$10"
        })
        chart.add_series({
            "name": "=内存利用率!$C$1",
            "categories": "=内存利用率!$A$2:$A$10",
            "values": "=内存利用率!$C$2:$C$10"
        })
        # 添加柱状图标题
        chart.set_title({"name": "内存利用率统计图"})
        chart.set_x_axis({
            'major_gridlines': {
                'visible': True,
                'line': {'width': 1.25, 'dash_type': 'dash'}
            },
        })
        chart.set_size({'width': 900, 'height': 400})
        chart.set_legend({'position': 'top'})
        # 在F2处绘制
        worksheet.insert_chart("F2", chart)

    # --------------------------------------------------------------
    # 统计CPU Load 负载情况 注意: 只能指定单独的主机
    def CreateCpuLoadAvgTable(self, address,worksheet, header, data):
        worksheet = self.workbook.add_worksheet(worksheet)

        # 设置头部颜色,并写入头部数据
        head_style = self.workbook.add_format({"bold": True, "align": "center", "fg_color": "#D7E4BC"})
        worksheet.write_row("A1", header, head_style)

        # 设置头部列宽
        worksheet.set_column("A1:D1", 15)

        # 将数据批量添加到表格中
        for x in range(0,len(data)):
            worksheet.write_row("A{}".format(x + 2), data[x])

        # 定义表格样式
        head_style = self.workbook.add_format({"bold": True, "align": "center", "fg_color": "#D7E4BC"})
        worksheet.set_column("A1:D1", 15)

        # 逐条写入数据
        worksheet.write_row("A1", header, head_style)
        for i in range(0, len(data)):
            worksheet.write_row("A{}".format(i + 2), data[i])

        # 添加条形图，显示前十个元素
        chart = self.workbook.add_chart({"type": "line"})
        chart.add_series({
            "name": "=CPU负载数据统计!$B$1",  # 图例项
            "categories": "=CPU负载数据统计!$A$2:$A$10",  # X轴 Item名称
            "values": "=CPU负载数据统计!$B$2:$B$10"  # X轴Item值
        })
        chart.add_series({
            "name": "=CPU负载数据统计!$C$1",  # 第一个线条（图例）
            "categories": "=CPU负载数据统计!$A$2:$A$10",
            "values": "=CPU负载数据统计!$C$2:$C$10"
        })
        chart.add_series({
            "name": "=CPU负载数据统计!$D$1",  # 第二个线条（图例）
            "categories": "=CPU负载数据统计!$A$2:$A$10",
            "values": "=CPU负载数据统计!$D$2:$D$10"
        })

        # 添加柱状图标题
        chart.set_title({"name": "统计地址: {}".format(address)})
        chart.set_size({'width': 900, 'height': 500})
        chart.set_legend({'position': 'top'})

        # 在F2处绘制
        worksheet.insert_chart("F2", chart)

    # 关闭并保存绘制结果
    def Save(self):
        self.workbook.close()

if __name__ == "__main__":
    work = DrawChart("lyshark.xlsx")
    # ------------------------------------------------------------------
    # 统计系统磁盘容量
    disk_val = [
        ["IP地址", "IP地址", "磁盘路径", "总容量", "剩余容量", "利用率"],
        ["/etc/system/", "/proc/", "/sys", "/abc/lyshark"],
        ["1024GG", "2048GB", "111GB", "1111GB"],
        ["1024GG", "2048GB", "111GB", "22GB"],
        ["10%", "50%", "20%", "33%"]
    ]
    ref = work.CreateDiskTable("磁盘分区统计","127.0.0.1",disk_val,3)
    print("下个表格开头位置: {}".format(ref))
    print("[+] 磁盘数据统计完成")

    # -------------------------------------------------------------------
    # 统计系统CPU负载情况
    header = ["主机地址", "CPU内核态", "CPU用户态", "总利用率"]
    cpu_val = [
        ["192.168.1.100", 88, 36, 100],
        ["192.168.1.200", 98, 89, 128],
        ["192.168.1.220", 88, 100, 190]
    ]
    ref = work.CreateCpuUsedTable("CPU利用率",header,cpu_val)
    print("[+] CPU利用率统计已完成")

    # -------------------------------------------------------------------
    # 统计系统内存利用率数据
    header = ["主机地址", "通用内存利用率", "交换内存利用率"]
    mem_val = [
        ["192.168.1.100", 25, 35],
        ["192.168.1.200", 44, 57],
        ["192.168.1.200", 24, 21],
        ["192.168.1.200", 78, 89]
    ]
    ref = work.CreateMemoryTable("内存利用率",header,mem_val)
    print("[+] 内存利用率统计已完成")

    # -------------------------------------------------------------------
    # 获取CPU LoadAvg负载情况
    header = ["拉取日期","1分钟负载","5分钟负载","15分钟负载"]
    cpu_avg_val = [
        ["12:11",0.1,0.2,1.3],
        ["12:12",1.4,3.3,6.9],
        ["12:13",2.6,3.2,6.9]
    ]
    ref = work.CreateCpuLoadAvgTable("127.0.0.1","CPU负载数据统计",header,cpu_avg_val)
    print("[+] CPU负载统计完成")
    work.Save()

输出效果如下所示；

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