tft每日頭條

 > 職場

 > python讀取excel數據并繪制圖表

python讀取excel數據并繪制圖表

職場 更新时间:2024-11-29 02:43:18
安裝XlsxWriter模塊:

pip install XlsxWriter

python讀取excel數據并繪制圖表(一日一技:Python使用XlsxWriter模塊在Excel工作表中繪制柱形圖)1

pip install XlsxWriter顯示已經安裝好,所以不用重複安裝

代碼1:繪制簡單的柱形圖。

要在Excel工作表上繪制簡單的柱形圖,請使用add_chart()方法和工作簿對象的“ column”關鍵字參數類型。

上代碼:

# import xlsxwriter module import xlsxwriter # Workbook() takes one, non-optional, argument # which is the filename that we want to create. workbook = xlsxwriter.Workbook('chart_column.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 # 'A2', 'B2', 'C2' respectively . 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 column chart object . chart1 = workbook.add_chart({'type': 'column'}) # Add a data series to a chart # using add_series method. # Configure the first series. # = Sheet1 !$A$1 is equivalent to ['Sheet1', 0, 0]. # note : spaces is not inserted in b / w # = and Sheet1, Sheet1 and ! # if space is inserted it throws warning. chart1.add_series({ 'name': '= Sheet1 !$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()


輸出為:

python讀取excel數據并繪制圖表(一日一技:Python使用XlsxWriter模塊在Excel工作表中繪制柱形圖)2


代碼2:繪制堆積柱形圖.

要在Excel工作表上繪制堆積柱形圖,請使用add_chart()方法,其類型為工作簿對象的“ column”和子類型“ stacked”關鍵字參數。

上代碼演示:

# import xlsxwriter module import xlsxwriter # Workbook() takes one, non-optional, argument # which is the filename that we want to create. workbook = xlsxwriter.Workbook('chart_column2.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 # 'A2', 'B2', 'C2' respectively . 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 stacked Column chart object . chart1 = workbook.add_chart({'type': 'column', 'subtype': 'stacked'}) # 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()

輸出結果:

python讀取excel數據并繪制圖表(一日一技:Python使用XlsxWriter模塊在Excel工作表中繪制柱形圖)3

代碼3:繪制堆積柱形圖百分比.

若要在Excel工作表上繪制“堆積百分比”圖表,請使用add_chart()方法,其類型為工作簿對象的“列”類型和子類型“ percent_stacked”關鍵字參數。

# import xlsxwriter module import xlsxwriter # Workbook() takes one, non-optional, argument # which is the filename that we want to create. workbook = xlsxwriter.Workbook('chart_column3.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 # 'A2', 'B2', 'C2' respectively . 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 percent stacked Column chart object . chart1 = workbook.add_chart({'type': 'column', 'subtype': 'percent_stacked'}) # 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()

輸出結果為:

python讀取excel數據并繪制圖表(一日一技:Python使用XlsxWriter模塊在Excel工作表中繪制柱形圖)4

祝學習愉快!

,

更多精彩资讯请关注tft每日頭條,我们将持续为您更新最新资讯!

查看全部

相关職場资讯推荐

热门職場资讯推荐

网友关注

Copyright 2023-2024 - www.tftnews.com All Rights Reserved