Python使用Pandas和XlsxWriter |S–3 _Pandas

先决条件： Python与pandas和xlsxwriter一起使用S1
Python Pandas是一个数据分析库。它可以读取, 过滤和重新排列大小数据集, 并以包括Excel在内的多种格式输出它们。
大熊猫使用XlsxWriter模块写入Excel文件。
XlsxWriter是用于以XLSX文件格式写入文件的Python模块。它可以用于将文本, 数字和公式写入多个工作表。此外, 它还支持格式设置, 图像, 图表, 页面设置, 自动过滤器, 条件格式设置等功能。
代码1：使用Pandas和XlsxWriter绘制柱形图。

# import pandas library as pd import pandas as pd# Create a Pandas dataframe from some data. dataframe = pd.DataFrame({ 'Subject' : [ "Math" , "Physics" , "Computer" , "Hindi" , "English" , "chemistry" ], 'Mid Exam Score' :[ 90 , 78 , 60 , 80 , 60 , 90 ], 'End Exam Score' : [ 45 , 39 , 30 , 40 , 30 , 60 ] })# Create a Pandas Excel writer # object using XlsxWriter as the engine. writer_object = pd.ExcelWriter( 'pandas_column_chart.xlsx' , engine = 'xlsxwriter' )# Write a dataframe to the worksheet. dataframe.to_excel(writer_object, sheet_name = 'Sheet1' )# Create xlsxwriter workbook object . workbook_object = writer_object.book# Create xlsxwriter worksheet object worksheet_object = writer_object.sheets[ 'Sheet1' ]# set width of the B and C column worksheet_object.set_column( 'B:C' , 20 )# Create a chart object that can be added # to a worksheet using add_chart() method.# here we create a column chart object . chart_object = workbook_object.add_chart({ 'type' : 'column' })# Add a data series to a chart # using add_series method.# Configure the first series. # syntax to define ranges is : # [sheetname, first_row, first_col, last_row, last_col]. chart_object.add_series({ 'name' :[ 'Sheet1' , 0 , 2 ], 'categories' : [ 'Sheet1' , 1 , 3 , 6 , 3 ], 'values' :[ 'Sheet1' , 1 , 2 , 6 , 2 ], })# Configure a second series. chart_object.add_series({ 'name' :[ 'Sheet1' , 0 , 1 ], 'categories' : [ 'Sheet1' , 1 , 3 , 6 , 3 ], 'values' :[ 'Sheet1' , 1 , 1 , 6 , 1 ], })# Add a chart title. chart_object.set_title({ 'name' : 'Exam Score Distribution' })# Add x-axis label chart_object.set_x_axis({ 'name' : 'Subjects' }) # Add y-axis label chart_object.set_y_axis({ 'name' : 'Marks' })# add chart to the worksheet with given # offset values at the top-left corner of # a chart is anchored to cell E2 worksheet_object.insert_chart( 'E2' , chart_object, { 'x_offset' : 20 , 'y_offset' : 5 })# Close the Pandas Excel writer # object and output the Excel file. writer_object.save()

输出：

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代码2：
使用Pandas和XlsxWriter绘制折线图。

# import pandas library as pd import pandas as pd# Create a Pandas dataframe from some data. dataframe = pd.DataFrame({ 'Subject' : [ "Math" , "Physics" , "Computer" , "Hindi" , "English" , "chemistry" ], 'Mid Exam Score' :[ 95 , 78 , 80 , 80 , 60 , 95 ], 'End Exam Score' : [ 90 , 67 , 78 , 70 , 63 , 90 ] })# Create a Pandas Excel writer # object using XlsxWriter as the engine. writer_object = pd.ExcelWriter( 'pandas_line_chart.xlsx' , engine = 'xlsxwriter' )# Write a dataframe to the worksheet. dataframe.to_excel(writer_object, sheet_name = 'Sheet1' )# Create xlsxwriter workbook object . workbook_object = writer_object.book# Create xlsxwriter worksheet object worksheet_object = writer_object.sheets[ 'Sheet1' ]# set width of the B and C column worksheet_object.set_column( 'B:C' , 20 )# Create a chart object that can be added # to a worksheet using add_chart() method.# here we create a line chart object . chart_object = workbook_object.add_chart({ 'type' : 'line' })# Add a data series to a chart # using add_series method.# Configure the first series. # syntax to define ranges is : # [sheetname, first_row, first_col, last_row, last_col]. chart_object.add_series({ 'name' :[ 'Sheet1' , 0 , 2 ], 'categories' : [ 'Sheet1' , 1 , 3 , 6 , 3 ], 'values' :[ 'Sheet1' , 1 , 2 , 6 , 2 ], })# Configure a second series. chart_object.add_series({ 'name' :[ 'Sheet1' , 0 , 1 ], 'categories' : [ 'Sheet1' , 1 , 3 , 6 , 3 ], 'values' :[ 'Sheet1' , 1 , 1 , 6 , 1 ], })# Add a chart title. chart_object.set_title({ 'name' : 'Exam Score Distribution' })# Add x-axis label chart_object.set_x_axis({ 'name' : 'Subjects' }) # Add y-axis label chart_object.set_y_axis({ 'name' : 'Marks' })# add chart to the worksheet with given # offset values at the top-left corner of # a chart is anchored to cell E2 worksheet_object.insert_chart( 'E2' , chart_object, { 'x_offset' : 20 , 'y_offset' : 5 })# Close the Pandas Excel writer # object and output the Excel file. writer_object.save()

输出：

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代码3：
使用Pandas和XlsxWriter绘制散点图。

# import pandas library as pd import pandas as pd# Create a Pandas dataframe from some data. dataframe = pd.DataFrame({ 'Subject' : [ "Math" , "Physics" , "Computer" , "Hindi" , "English" , "chemistry" ], 'Mid Exam Score' :[ 70 , 80 , 90 , 40 , 66 , 98 ], 'End Exam Score' : [ 90 , 60 , 50 , 80 , 78 , 96 ] })# Create a Pandas Excel writer # object using XlsxWriter as the engine. writer_object = pd.ExcelWriter( 'pandas_Scatter_chart.xlsx' , engine = 'xlsxwriter' )# Write a dataframe to the worksheet. dataframe.to_excel(writer_object, sheet_name = 'Sheet1' )# Create xlsxwriter workbook object . workbook_object = writer_object.book# Create xlsxwriter worksheet object worksheet_object = writer_object.sheets[ 'Sheet1' ]# set width of the B and C column worksheet_object.set_column( 'B:C' , 20 )# Create a chart object that can be added # to a worksheet using add_chart() method.# here we create a scatter chart object . chart_object = workbook_object.add_chart({ 'type' : 'scatter' })# Add a data series to a chart # using add_series method.# Configure the first series. # syntax to define ranges is : # [sheetname, first_row, first_col, last_row, last_col]. chart_object.add_series({ 'name' :[ 'Sheet1' , 0 , 2 ], 'categories' : [ 'Sheet1' , 1 , 3 , 6 , 3 ], 'values' :[ 'Sheet1' , 1 , 2 , 6 , 2 ], })# Configure a second series. chart_object.add_series({ 'name' :[ 'Sheet1' , 0 , 1 ], 'categories' : [ 'Sheet1' , 1 , 3 , 6 , 3 ], 'values' :[ 'Sheet1' , 1 , 1 , 6 , 1 ], })# Add a chart title. chart_object.set_title({ 'name' : 'Exam Score Distribution' })# Add x-axis label chart_object.set_x_axis({ 'name' : 'Subjects' }) # Add y-axis label chart_object.set_y_axis({ 'name' : 'Marks' })# add chart to the worksheet with given # offset values at the top-left corner of # a chart is anchored to cell E2 worksheet_object.insert_chart( 'E2' , chart_object, { 'x_offset' : 20 , 'y_offset' : 5 })# Close the Pandas Excel writer # object and output the Excel file. writer_object.save()

输出：