Python - 使用 XlsxWriter 模块在 Excel 表格中绘制面积图
面积图表示一个或多个数量随时间变化的情况。通过绘制一系列随时间变化的数据点,用线段连接这些数据点,然后用颜色或阴影填充线与 x 轴之间的面积,就可以绘制出来。
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()
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