Python-使用XlsxWriter模块在Excel工作表中绘制面积图
面积图表示一个或多个量随时间的变化。通过绘制随时间变化的一系列数据点，将这些数据点与线段连接，然后用颜色或阴影填充线和x轴之间的区域来完成。
示例
# import xlsxwriter module
import xlsxwriter
# Workbook() takes one, non-optional, argument which is the filename #that we want to create.
workbook = xlsxwriter.Workbook('chart_area.xlsx')
# The workbook object is then used to add new worksheet via the #add_worksheet() method.
worksheet = workbook.add_worksheet()
# Create a new Format object to formats cells in worksheets using #add_format() method .
# here we create bold format object .
bold = workbook.add_format({'bold': 1})
# create a data list .
headings = ['Number', 'Batch 1', 'Batch 2']
data = [
[2, 3, 4, 5, 6, 7],
[80, 80, 100, 60, 50, 100],
[60, 50, 60, 20, 10, 20],
]
# Write a row of data starting from 'A1' with bold format .
worksheet.write_row('A1', headings, bold)
# Write a column of data starting from
worksheet.write_column('A2', data[0])
worksheet.write_column('B2', data[1])
worksheet.write_column('C2', data[2])
# Create a chart object that can be added to a worksheet using #add_chart() method.
# here we create a area chart object .
chart1 = workbook.add_chart({'type': 'area'})
# Add a data series to a chart using add_series method.
# Configure the first series.
# = Sheet1 !$A$1 is equivalent to ['Sheet1', 0, 0].
chart1.add_series({
'name': '= Sheet1 !$B$1',
'categories': '= Sheet1 !$A$2:$A$7',
'values': '= Sheet1 !$B$2:$B$7',
})
#Configure a second series.Note use of alternative syntax to define #ranges.[sheetname, first_row, first_col, last_row, last_col].
chart1.add_series({
'name': ['Sheet1', 0, 2],
'categories': ['Sheet1', 1, 0, 6, 0],
'values': ['Sheet1', 1, 2, 6, 2],
})
# Add a chart title
chart1.set_title ({'name': 'Results of data analysis'})
# Add x-axis label
chart1.set_x_axis({'name': 'Test number'})
# Add y-axis label
chart1.set_y_axis({'name': 'Data length (mm)'})
# Set an Excel chart style.
chart1.set_style(11)
#add chart to the worksheet the top-left corner of a chart is #anchored to cell E2 .
worksheet.insert_chart('E2', chart1)
# Finally, close the Excel file via the close() method.
workbook.close()