xlsxwriter - Excel 饼图的图例 - python

xlsxwriter - legend for Excel pie Chart - python

我有一个包含 6 个选项卡的 excel 文件(worksheets)。每个 worksheet 具有相同的结构并包含两列 - Col 1 包含品牌名称,Col 2 包含与每个品牌对应的值。对于 excel 文件中的每个 sheet,我想制作一个饼图来显示每个品牌的份额百分比。

可用于 运行 脚本的示例 xls 文件是 here

我写的代码很简单,可以生成图表。问题是图表的图例采用序列号名称而不是品牌名称。

import pandas as pd
import xlsxwriter as excel

       df = pd.read_excel("/Users/jack/Documents/python-pptx/filename", sheetname=None)


        workbook = excel.Workbook('/Users/jack/Documents/python-pptx/chart_pie.xlsx')

        for sheetname, data in df.iteritems():
            if len(data) > 0: 
                worksheet = workbook.add_worksheet(sheetname)
                chart = workbook.add_chart({'type': 'pie'})
                worksheet.write_column('A1', data['Brand'])
                worksheet.write_column('B1', data['Share_of_interactions'])
                chart.add_series({'categories': '='+sheetname+'!$A:$A$'+str(len(data)),
                                  'values':     '='+sheetname+'!$B:$B$'+str(len(data)),
                                  'name':       '='+sheetname+'!$A:$A$'+str(len(data))})

                ## insert chart into the worksheet
                worksheet.insert_chart('C3', chart)

                ## Close the workbook
        workbook.close()

这是图表的屏幕截图:

如果您注意到图表中的图例为 1、2、3 ..。 . 7.它实际上应该说的是品牌名称。如 xlsxwriter - http://xlsxwriter.readthedocs.io/chart.html 的文档中所述,我已将 name 参数添加到 chart.add_series 。任何帮助将非常感激。

在Excel和XlsxWriter中,饼图中数据点的名称来自"Categories"。这与名称来自系列名称的其他“2D”图表类型不同。这是因为饼图是单系列图表的特例。

无论如何,如果您将类别指向您想要的名称,它们就会显示出来。像这样:

import pandas as pd

# Some sample data to plot.
data = {'apples': 10, 'berries': 32, 'squash': 21, 'melons': 13, 'corn': 18}

# Create a Pandas dataframe from the data.
df = pd.DataFrame([data], index=['Farm'])

# Create a Pandas Excel writer using XlsxWriter as the engine.
excel_file = 'pie.xlsx'
sheet_name = 'Sheet1'

writer = pd.ExcelWriter(excel_file, engine='xlsxwriter')
df.to_excel(writer, sheet_name=sheet_name)

# Access the XlsxWriter workbook and worksheet objects from the dataframe.
workbook = writer.book
worksheet = writer.sheets[sheet_name]

# Create a chart object.
chart = workbook.add_chart({'type': 'pie'})

# Configure the chart from the dataframe data.
chart.add_series({
    'categories': ['Sheet1', 0, 1, 0, 5],
    'values':     ['Sheet1', 1, 1, 1, 5],
})

# Insert the chart into the worksheet.
worksheet.insert_chart('A4', chart)

# Close the Pandas Excel writer and output the Excel file.
writer.save()

另外,请注意类别和值使用列表而不是范围字符串。这种可选格式在处理可变数据时更容易,它可以处理任何 sheet 名称引用。

输出:

问题是您的 sheet 名字中有一个 space,例如 Sheet 1。您需要用单引号将其括起来:

df = pd.read_excel("/Users/julien/Downloads/SO_Example_Df.xlsx", sheetname=None)


workbook = excel.Workbook('/Users/julien/Downloads/SO_chart_pie.xlsx')

for sheetname, data in df.items():
    if len(data) > 0: 
        worksheet = workbook.add_worksheet(sheetname)
        chart = workbook.add_chart({'type': 'pie'})
        worksheet.write_column('A1', data['Brand'])
        worksheet.write_column('B1', data['Share_of_interactions'])
        # Here, add single quotes around the sheetname
        chart.add_series({'categories': "='"+sheetname+"'!$A:$A$"+str(len(data)),
                          'values':     "='"+sheetname+"'!$B:$B$"+str(len(data)),
                          'name':       'My pie chart'})

        ## insert chart into the worksheet
        worksheet.insert_chart('C3', chart)

## Close the workbook
workbook.close()