Python Program to Plot an Excel chart with Gradient fills using XlsxWriter module

In this article, we are going to plot the Excel Chart with Gradient fills using the xlsxWriter module in Python.

Charts are made up of a series of one or more data points. The series are made up of references to cell ranges. To plot the charts on an excel sheet, first create a chart object of the desired chart type ( i.e Stock chart, etc.). After generating chart objects, insert data into them before adding them to the sheet object.

Install the xlsxwriter using the below code

pip install xlsxwriter

Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Collecting xlsxwriter
Downloading XlsxWriter-3.0.3-py3-none-any.whl (149 kB)
|████████████████████████████████| 149 kB 5.0 MB/s
Installing collected packages: xlsxwriter
Successfully installed xlsxwriter-3.0.3

Program to Plot an Excel chart with Gradient fills using XlsxWriter module in Python

Method#1: Plotting Excel Chart with Gradient fills in columns

Approach:

  • Import the xlsxwriter library using the import function.
  • Pass the excel file path to the Workbook() function of xlsxwriter which is the file we want to create and store in a variable.
  • Create the new Worksheet using the add_worsheet() function and apply it to the above workbook object and store it in a variable.
  • Create a new Format object to format cells in spreadsheets using the add_format() method and apply it to the above workbook object.
  • Here, we created a bold format object.
  • Add the worksheet data that the charts will use.
  • Write a row of heading data starting with ‘A1’ in the bold format using the write_row() function and apply it to the above worksheet object by passing the argument row number, headings list, and format.
  • Write the column data that is starting from ‘A2’, ‘B2’, and ‘C2’ using the write_coulmn() function and pass data as an argument to it.
  • Write a column of data starting from ‘A2’, ‘B2’, ‘C2’ respectively .
  • Using the add_chart() method, create a chart object that can be added to a worksheet.
  • Pass the type of chart as an argument to the add_chart() function and apply it to the above workbook object
    Using the add series() method, you can add a data series with a gradient pattern to a chart.The gap is used to highlight the patterns.
  • Add the first series data using the add_series() function
  • Set the title to the chartObject using the set_title() function by passing the title name as value and key as “name” (Here the arguments are object)
  • Label the x axis using the set_x_axis() function by passing the Sem Number as value and key as “name” (Here the arguments are object)
  • Label the y axis using the set_x_axis() function by passing the Data length as value and key as “name” (Here the arguments are object)
  • set the legend to off using the set_legend() function
  • Add a chartObject to the worksheet with the provided offset values in the top-left corner of a chartObject that is anchored to cell D2.
  • Close the workbook Object using the close() function.
  • The Exit of the Program.

Below is the Implementation:

# Import the xlsxwriter library using the import function
import xlsxwriter

# Pass the excel file path to the Workbook() function of xlsxwriter 
# which is the file we want to create and store it in a variable
workbookObj = xlsxwriter.Workbook('chartGradient.xlsx')

# Create the new Worksheet using the add_worsheet() function and 
# apply it to the above workbook object and store it in a variable
newWorksheet = workbookObj.add_worksheet()


# Create a new Format object to format cells in spreadsheets using the add_format() method and apply it to the above workbook object.
# Here, we created a bold format object. .
boldFormat = workbookObj.add_format({'bold': 1})

# Add the worksheet data that the charts will use.
headingsData = ['Number', 'Sem 1', 'Sem 2']
worksheetData = [
    [1, 2, 3, 4, 5, 6],
     [70, 60, 70, 30, 20, 30],
  [90, 90, 95, 70, 60, 100]  
]


# Write a row of heading data starting with 'A1' in bold format using the write_row() function
# and apply on the above worksheet object
# by passing the argument rowNumber,headings list,and format.
newWorksheet.write_row('A1', headingsData, boldFormat)

# Write the column data that is starting from 'A2','B2','C2' 
# using the write_coulmn() function
# and pass data as argument to it
# Write a column of data starting from
# 'A2', 'B2', 'C2' respectively .
newWorksheet.write_column('A2', worksheetData[0])
newWorksheet.write_column('B2', worksheetData[1])
newWorksheet.write_column('C2', worksheetData[2])

# Using the add_chart() method, create a chart object that can be added to a worksheet.
# Pass the type of chart as an argument to the add_chart() function and apply it to the above workbook object
chartObject = workbookObj.add_chart({'type': 'column'})


# Using the add series() method, you can add a data series with a gradient pattern to a chart. 
# The gap is used to highlight the patterns.

# Add the first series data using the add_series() function 
chartObject.add_series({
    'name':	 '= Sheet1 !$B$1',
    'categories': '= Sheet1 !$A$2:$A$7',
    'values':	 '= Sheet1 !$B$2:$B$7',
    'gradient': {'colors': ['# 963735', '# F1DCDB']}
})

chartObject.add_series({
    'name':	 '= Sheet1 !$C$1',
    'categories': '= Sheet1 !$A$2:$A$7',
    'values':	 '= Sheet1 !$C$2:$C$7',
    'gradient': {'colors': ['# E36C0A', '# FCEADA']}
})

# Set the title to the chartObject using the set_title() function by passing the title name as value and key as "name" (Here the arguments are object)
chartObject.set_title ({'name': 'Gradient Fills Chart'})

# Label the x axis using the set_x_axis() function by passing the Sem Number as value and key as "name" (Here the arguments are object)
chartObject.set_x_axis({'name': 'Test number'})

# Label the y axis using the set_x_axis() function by passing the Data length as value and key as "name" (Here the arguments are object)
chartObject.set_y_axis({'name': 'Data length (mm)'})

# set the legend to off using the set_legend() function
chartObject.set_legend({'none': True})

# Add a chartObject to the worksheet with the provided offset values in the top-left corner of a chartObject that is anchored to cell D2.
newWorksheet.insert_chart('D2', chartObject,
{'x_offset': 25, 'y_offset': 10})


# Close the workbook Object using the close() function.
workbookObj.close()

Output:

gradient fills chart

Method #2: Plotting  Excel Chart with Gradient fills in the plot area

To plot this type of chart on an excel sheet, use the set_plotarea() method using the chart object’s ‘gradient’ keyword parameter.

Below is the Implementation:

# Import the xlsxwriter library using the import function
import xlsxwriter

# Pass the excel file path to the Workbook() function of xlsxwriter 
# which is the file we want to create and store it in a variable
workbookObj = xlsxwriter.Workbook('chartGradient2.xlsx')

# Create the new Worksheet using the add_worsheet() function and 
# apply it to the above workbook object and store it in a variable
newWorksheet = workbookObj.add_worksheet()


# Create a new Format object to format cells in spreadsheets using the add_format() method and apply it to the above workbook object.
# Here, we created a bold format object. .
boldFormat = workbookObj.add_format({'bold': 1})

# Add the worksheet data that the charts will use.
headingsData = ['Number', 'Sem 1', 'Sem 2']
worksheetData = [
    [1, 2, 3, 4, 5, 6],
     [70, 60, 70, 30, 20, 30],
  [90, 90, 95, 70, 60, 100]  
]


# Write a row of heading data starting with 'A1' in bold format using the write_row() function
# and apply on the above worksheet object
# by passing the argument rowNumber,headings list,and format.
newWorksheet.write_row('A1', headingsData, boldFormat)

# Write the column data that is starting from 'A2','B2','C2' 
# using the write_coulmn() function
# and pass data as argument to it
# Write a column of data starting from
# 'A2', 'B2', 'C2' respectively .
newWorksheet.write_column('A2', worksheetData[0])
newWorksheet.write_column('B2', worksheetData[1])
newWorksheet.write_column('C2', worksheetData[2])

# Using the add_chart() method, create a chart object that can be added to a worksheet.
# Pass the type of chart as an argument to the add_chart() function and apply it to the above workbook object
chartObject = workbookObj.add_chart({'type': 'column'})


# Using the add series() method, you can add a data series with a gradient pattern to a chart. 
# The gap is used to highlight the patterns.

# Add the first series data using the add_series() function 
chartObject.add_series({
    'name':	 '= Sheet1 !$B$1',
    'categories': '= Sheet1 !$A$2:$A$7',
    'values':	 '= Sheet1 !$B$2:$B$7'
})

chartObject.add_series({
    'name':	 '= Sheet1 !$C$1',
    'categories': '= Sheet1 !$A$2:$A$7',
    'values':	 '= Sheet1 !$C$2:$C$7'
})
# Set the Gradient for the plot area using the set_plotarea() function
chartObject.set_plotarea({
    'gradient': {'colors': ['# FFEFD1', '# F0EBD5', '# B69F66']}
})
 

# Set the title to the chartObject using the set_title() function by passing the title name as value and key as "name" (Here the arguments are object)
chartObject.set_title ({'name': 'Gradient Fills Chart'})

# Label the x axis using the set_x_axis() function by passing the Sem Number as value and key as "name" (Here the arguments are object)
chartObject.set_x_axis({'name': 'Test number'})

# Label the y axis using the set_x_axis() function by passing the Data length as value and key as "name" (Here the arguments are object)
chartObject.set_y_axis({'name': 'Data length (mm)'})

# set the legend to off using the set_legend() function
chartObject.set_legend({'none': True})

# Add a chartObject to the worksheet with the provided offset values in the top-left corner of a chartObject that is anchored to cell D2.
newWorksheet.insert_chart('D2', chartObject,
{'x_offset': 25, 'y_offset': 10})


# Close the workbook Object using the close() function.
workbookObj.close()

Output:

gradient fills chart with plot area

 

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