Python | Plotting Line charts in excel sheet using XlsxWriter module - GeeksforGeeks

21 Dec, 2018
Prerequisite: Create and Write on an excel sheet
XlsxWriter is a Python library using which one can perform multiple operations on excel files like creating, writing, arithmetic operations and plotting graphs. Let’s see how to plot Line charts using realtime data.
Charts are composed of at least one series of one or more data points. Series themselves are comprised of references to cell ranges. For plotting the charts on an excel sheet, firstly, create chart object of specific chart type( i.e Line chart etc.). After creating chart objects, insert data in it and lastly, add that chart object in the sheet object.
Code : Plot the Line Chart.
For plotting the Line chart on an excel sheet, use add_chart() method with type ‘line’ keyword argument of a workbook object.
# import xlsxwriter module import xlsxwriter     # Workbook() takes one, non-optional, argument   # which is the filename that we want to create. workbook = xlsxwriter.Workbook('chart_Line.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 line chart object . chart1 = workbook.add_chart({'type': 'line'})     # 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 with given# offset values at the top-left corner of# a chart is anchored to cell D2 .  worksheet.insert_chart('D2', chart1, {'x_offset': 25, 'y_offset': 10})     # Finally, close the Excel file  # via the close() method.  workbook.close() 
Output:
Python-excel
Technical Scripter 2018
Python
Writing code in comment?
Please use ide.geeksforgeeks.org,
generate link and share the link here.
Python Dictionary
How to Install PIP on Windows ?
Enumerate() in Python
Different ways to create Pandas Dataframe
Iterate over a list in Python
Reading and Writing to text files in Python
*args and **kwargs in Python
Create a Pandas DataFrame from Lists
How To Convert Python Dictionary To JSON?
Convert integer to string in Python