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📜  Python|使用 XlsxWriter 模块在 Excel 工作表中绘制柱形图

📅  最后修改于: 2022-05-13 01:55:03.669000             🧑  作者: Mango

Python|使用 XlsxWriter 模块在 Excel 工作表中绘制柱形图

先决条件:在 excel 文件上创建和写入。
XlsxWriter是一个Python库,使用它可以对 excel 文件执行多种操作,例如创建、写入、算术运算和绘图。让我们看看如何使用实时数据绘制不同类型的柱形图。
图表由至少一系列的一个或多个数据点组成。系列本身由对单元格范围的引用组成。
为了在 Excel 表上绘制图表,首先,创建特定图表类型的图表对象(即柱形图、堆积柱形图、百分比堆积柱形图等)。创建图表对象后,在其中插入数据,最后,将该图表对象添加到工作表对象中。
代码#1:绘制简单的柱形图。
要在 Excel 工作表上绘制简单的柱形图,请使用 add_chart() 方法和工作簿对象的类型“column”关键字参数。

Python3
# 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()


Python3
# 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()


Python3
# 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()


输出:

输出


代码 #2:绘制堆积柱形图。
要在 Excel 工作表上绘制堆积柱形图,请使用 add_chart() 方法,其类型为“column”,工作簿对象的子类型为“stacked”关键字参数。

Python3

# 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()

输出:

输出


代码#3:绘制百分比堆积柱形图。
要在 Excel 工作表上绘制百分比堆积柱形图,请使用 add_chart() 方法和工作簿对象的类型“Column”和子类型“percent_stacked”关键字参数。

Python3

# 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()

输出:

输出