Blog

How To Show Data With Conditional Formating Data Bars Using xlwings?

Method

rng=sht.Range(‘A1:A15’)

rng.FormatConditions.Delete()

rng.FormatConditions.AddDatabar()

Sample Code

#Conditional Formatting - Data Bars

import xlwings as xw    #Import xlwings
import os    #Import os

root = os.getcwd()    #Get current path
#Create Excel application window, visible, no workbook added
app=xw.App(visible=True, add_book=False)
#Open data file, writable
bk=app.books.open(fullname=root+r'\cf.xlsx',read_only=False)
#Get data worksheet
sht=bk.api.Sheets(1) 

rng=sht.Range('A1:A15')
rng.FormatConditions.Delete()

rng.FormatConditions.AddDatabar()

#bk.save()
#bk.close()
#app.kill()

Show Data With Conditional Formating Data Bars Using xlwings

xlwings-Conditional Formatting

March 10, 2026 (0)

How To Refresh a Pivot Table Using xlwings?

Method

def modify_data():

#Modify data source

sht_data.range(‘F2′).value=’China’

def update():

#Refresh pivot table

pvt=sht_pvt.api.PivotTables(‘Pivot’)

pvt.RefreshTable()

Sample Code

#Refresh Pivot Table

import xlwings as xw    #Import xlwings
import os    #Import os

root = os.getcwd()    #Get current path
#Create Excel application window, visible, no workbook added
app=xw.App(visible=True, add_book=False)
#Open data file, writable
bk=app.books.open(fullname=root+r'\Pivot.xlsx',read_only=False)
#Get data source worksheet
sht_data=bk.sheets.active
#Data cell range
rng_data=sht_data.api.Range('A1').CurrentRegion
#Create a new worksheet for the pivot table
sht_pvt=bk.sheets.add()
sht_pvt.name='Pivot Table'
    
def create_pivot_table():
    #Location of data
    rng_data=sht_data.api.Range('A1').CurrentRegion
    #Location of pivot table
    rng_pvt=sht_pvt.api.Range('A1')

    #Create pivot table cache
    pvc=bk.api.PivotCaches().Create(\
          SourceType=xw.constants.PivotTableSourceType.xlDatabase,\
          SourceData=rng_data)
    #Create pivot table
    pvt=pvc.CreatePivotTable(\
          TableDestination=rng_pvt,\
          TableName='Pivot')

    #Set fields
    pvt.PivotFields('Category').Orientation=\
        xw.constants.PivotFieldOrientation.xlPageField    #Page fields
    pvt.PivotFields('Category').Position=1
    pvt.PivotFields('Product').Orientation=\
        xw.constants.PivotFieldOrientation.xlColumnField    #Column fields
    pvt.PivotFields('Product').Position=1
    pvt.PivotFields('Origin').Orientation=\
        xw.constants.PivotFieldOrientation.xlRowField    #Row fields
    pvt.PivotFields('Origin').Position=1
    pvt.PivotFields('Amount').Orientation=\
        xw.constants.PivotFieldOrientation.xlDataField    #Value fields

def modify_data():
    #Modify data source
    sht_data.range('F2').value='China'

def update():
    #Refresh pivot table
    pvt=sht_pvt.api.PivotTables('Pivot')
    pvt.RefreshTable()


create_pivot_table()
modify_data()
update()

#bk.save()
#bk.close()
#app.kill()

xlwings-Pivot Table

March 10, 2026 (0)

How To Reference a Pivot Table Using xlwings?

Method

def ref_pivot_table():

#Pivot table reference

print(sht_pvt.api.PivotTables().Count)

print(sht_pvt.api.PivotTables(1).Name) #Reference by index number

print(sht_pvt.api.PivotTables(‘Pivot’).Name) #Reference by name

Sample Code

#Pivot Table References

import xlwings as xw    #Import xlwings
import os    #Import os

root = os.getcwd()    #Get current path
#Create Excel application window, visible, no workbook added
app=xw.App(visible=True, add_book=False)
#Open data file, writable
bk=app.books.open(fullname=root+r'\Pivot.xlsx',read_only=False)
#Get data source worksheet
sht_data=bk.sheets.active
#Data cell range
rng_data=sht_data.api.Range('A1').CurrentRegion
#Create a new worksheet for the pivot table
sht_pvt=bk.sheets.add()
sht_pvt.name='Pivot Table'
    
def create_pivot_table():
    #Location of data
    rng_data=sht_data.api.Range('A1').CurrentRegion
    #Location of pivot table
    rng_pvt=sht_pvt.api.Range('A1')

    #Create pivot table cache
    pvc=bk.api.PivotCaches().Create(\
          SourceType=xw.constants.PivotTableSourceType.xlDatabase,\
          SourceData=rng_data)
    #Create pivot table
    pvt=pvc.CreatePivotTable(\
          TableDestination=rng_pvt,\
          TableName='Pivot')

    #Set fields
    pvt.PivotFields('Category').Orientation=\
        xw.constants.PivotFieldOrientation.xlPageField    #Page fields
    pvt.PivotFields('Category').Position=1
    pvt.PivotFields('Product').Orientation=\
        xw.constants.PivotFieldOrientation.xlColumnField    #Column fields
    pvt.PivotFields('Product').Position=1
    pvt.PivotFields('Origin').Orientation=\
        xw.constants.PivotFieldOrientation.xlRowField    #Row fields
    pvt.PivotFields('Origin').Position=1
    pvt.PivotFields('Amount').Orientation=\
        xw.constants.PivotFieldOrientation.xlDataField    #Value fields

def ref_pivot_table():
    #Pivot table reference
    print(sht_pvt.api.PivotTables().Count)
    print(sht_pvt.api.PivotTables(1).Name)    #Reference by index number
    print(sht_pvt.api.PivotTables('Pivot').Name)    #Reference by name

create_pivot_table()
ref_pivot_table()

#bk.save()
#bk.close()
#app.kill()

xlwings-Pivot Table

March 9, 2026 (0)

How To Create a Pivot Table using Cache Using xlwings?

Method

def create_pivot_table():

#Location of pivot table

rng_pvt=sht_pvt.api.Range(‘A1’)

#Create pivot table cache

pvc=bk.api.PivotCaches().Create(\

SourceType=xw.constants.PivotTableSourceType.xlDatabase,\

SourceData=rng_data)

#Create pivot table

pvt=pvc.CreatePivotTable(\

TableDestination=rng_pvt,\

TableName=’Pivot’)

#Set fields

pvt.PivotFields(‘Category’).Orientation=\

xw.constants.PivotFieldOrientation.xlPageField #Page fields

pvt.PivotFields(‘Category’).Position=1

pvt.PivotFields(‘Product’).Orientation=\

xw.constants.PivotFieldOrientation.xlColumnField #Column fields

pvt.PivotFields(‘Product’).Position=1

pvt.PivotFields(‘Origin’).Orientation=\

xw.constants.PivotFieldOrientation.xlRowField #Row fields

pvt.PivotFields(‘Origin’).Position=1

pvt.PivotFields(‘Amount’).Orientation=\

xw.constants.PivotFieldOrientation.xlDataField #Value fields

Sample Code

#Create Pivot Table with Cache

import xlwings as xw    #Import xlwings
import os    #Import os

root = os.getcwd()    #Get current path
#Create Excel application window, visible, no workbook added
app=xw.App(visible=True, add_book=False)
#Open data file, writable
bk=app.books.open(fullname=root+r'\Pivot.xlsx',read_only=False)
#Get data source worksheet
sht_data=bk.sheets.active
#Data cell range
rng_data=sht_data.api.Range('A1').CurrentRegion
#Create a new worksheet for the pivot table
sht_pvt=bk.sheets.add()
sht_pvt.name='Pivot Table'

def create_pivot_table():
    #Location of pivot table
    rng_pvt=sht_pvt.api.Range('A1')
    #Create pivot table cache
    pvc=bk.api.PivotCaches().Create(\
          SourceType=xw.constants.PivotTableSourceType.xlDatabase,\
          SourceData=rng_data)
    #Create pivot table
    pvt=pvc.CreatePivotTable(\
          TableDestination=rng_pvt,\
          TableName='Pivot')

    #Set fields
    pvt.PivotFields('Category').Orientation=\
        xw.constants.PivotFieldOrientation.xlPageField    #Page fields
    pvt.PivotFields('Category').Position=1
    pvt.PivotFields('Product').Orientation=\
        xw.constants.PivotFieldOrientation.xlColumnField    #Column fields
    pvt.PivotFields('Product').Position=1
    pvt.PivotFields('Origin').Orientation=\
        xw.constants.PivotFieldOrientation.xlRowField    #Row fields
    pvt.PivotFields('Origin').Position=1
    pvt.PivotFields('Amount').Orientation=\
        xw.constants.PivotFieldOrientation.xlDataField    #Value fields

create_pivot_table()

#bk.save()
#bk.close()
#app.kill()

Create a Pivot Table using Cache Using xlwings

xlwings-Pivot Table

March 9, 2026 (0)

How To Create a Pivot Table using the PivotTableWizard Method Using xlwings?

Method

def create_pivot_table():

#Create pivot table

pvt=sht_pvt.api.PivotTableWizard(\

SourceType=xw.constants.PivotTableSourceType.xlDatabase,\

SourceData=rng_data)

pvt.Name=’Pivot’

#Set fields

pvt.PivotFields(‘Category’).Orientation=\

xw.constants.PivotFieldOrientation.xlPageField #Page fields

pvt.PivotFields(‘Category’).Position=1

pvt.PivotFields(‘Product’).Orientation=\

xw.constants.PivotFieldOrientation.xlColumnField #Column fields

pvt.PivotFields(‘Product’).Position=1

pvt.PivotFields(‘Origin’).Orientation=\

xw.constants.PivotFieldOrientation.xlRowField #Row fields

pvt.PivotFields(‘Origin’).Position=1

pvt.PivotFields(‘Amount’).Orientation=\

xw.constants.PivotFieldOrientation.xlDataField #Value fields

Sample Code

#Create Pivot Table using PivotTableWizard Method

import xlwings as xw    #Import xlwings
import os    #Import os

root = os.getcwd()    #Get current path
#Create Excel application window, visible, no workbook added
app=xw.App(visible=True, add_book=False)
#Open data file, writable
bk=app.books.open(fullname='Pivot.xlsx',read_only=False)
#Get data source worksheet
sht_data=bk.sheets.active
#Data cell range
rng_data=sht_data.api.Range('A1').CurrentRegion
#Create a new worksheet for the pivot table
sht_pvt=bk.sheets.add()
sht_pvt.name='Pivot Table'

def create_pivot_table():
    #Create pivot table
    pvt=sht_pvt.api.PivotTableWizard(\
        SourceType=xw.constants.PivotTableSourceType.xlDatabase,\
        SourceData=rng_data)
    pvt.Name='Pivot'

    #Set fields
    pvt.PivotFields('Category').Orientation=\
        xw.constants.PivotFieldOrientation.xlPageField    #Page fields
    pvt.PivotFields('Category').Position=1
    pvt.PivotFields('Product').Orientation=\
        xw.constants.PivotFieldOrientation.xlColumnField    #Column fields
    pvt.PivotFields('Product').Position=1
    pvt.PivotFields('Origin').Orientation=\
        xw.constants.PivotFieldOrientation.xlRowField    #Row fields
    pvt.PivotFields('Origin').Position=1
    pvt.PivotFields('Amount').Orientation=\
        xw.constants.PivotFieldOrientation.xlDataField    #Value fields


create_pivot_table()

#bk.save()
#bk.close()
#app.kill()

Create a Pivot Table using the PivotTableWizard Method Using xlwings

xlwings-Pivot Table

March 8, 2026 (0)

How To Set Properties of Individual Points in a Series Using xlwings?

Method

Using the `Points` property of a Series object, you can get all the data points in a series. By using an index, you can extract and set one or more specific points. A single point is represented by a Point object, and its properties and methods can be used to modify the point. This is mainly used for line charts, scatter plots, and radar charts.

In the following example, the properties of the third point in the line chart of series 2 are modified. The foreground and background colors are set to blue, the marker style is changed to a diamond, and the marker size is set to 10.

sht.api.Range(‘A1:B7’).Select()

cht=sht.api.Shapes.AddChart().Chart

ser2=cht.SeriesCollection(‘P2’) #Second series

ser2.ChartType=xw.constants.ChartType.xlLine #Line chart

ser2.Smooth=True #Smooth processing

ser2.MarkerStyle=xw.constants.MarkerStyle.xlMarkerStyleTriangle #Markers

ser2.MarkerForegroundColor=xw.utils.rgb_to_int((0,0,255)) #Color

ser2.HasDataLabels=True #Data labels

ser2.Points(3).MarkerForegroundColor=xw.utils.rgb_to_int((0,0,255))

ser2.Points(3).MarkerBackgroundColor=xw.utils.rgb_to_int((0,0,255))

ser2.Points(3).MarkerStyle=xw.constants.MarkerStyle.xlMarkerStyleDiamond

ser2.Points(3).MarkerSize=10

Sample Code

#Set Points in Series

import xlwings as xw
import os

root = os.getcwd()
app = xw.App(visible=True, add_book=False)
wb=app.books.open(root+r'/P1P2.xlsx',read_only=False)
sht=wb.sheets(1)

sht.api.Range('A1:B7').Select()
cht=sht.api.Shapes.AddChart().Chart
ser2=cht.SeriesCollection('P2')    #Second series
ser2.ChartType=xw.constants.ChartType.xlLine    #Line chart
ser2.Smooth=True    #Smooth processing
ser2.MarkerStyle=xw.constants.MarkerStyle.xlMarkerStyleTriangle    #Markers
ser2.MarkerForegroundColor=xw.utils.rgb_to_int((0,0,255))    #Color
ser2.HasDataLabels=True    #Data labels
ser2.Points(3).MarkerForegroundColor=xw.utils.rgb_to_int((0,0,255))
ser2.Points(3).MarkerBackgroundColor=xw.utils.rgb_to_int((0,0,255))
ser2.Points(3).MarkerStyle=xw.constants.MarkerStyle.xlMarkerStyleDiamond
ser2.Points(3).MarkerSize=10

#wb.save()
#wb.close()
#app.kill()

Set Properties of Individual Points in a Series Using xlwings

xlwings-Chart

March 8, 2026 (0)

How To Set Series Using xlwings?

Method

Each Chart object has a `SeriesCollection` property, which returns a collection containing all series in the chart. What is a series? In a composite bar chart, each row of data corresponds to a composite bar, and within each composite bar, there are two different-colored individual bars. All individual bars of the same color form a series. Therefore, the chart has two series. A series is represented by a Series object.

In the example below, the second series is referenced, and its `ChartType` property is used to change the chart type to a line chart. The `Smooth` property is set to `True` to smooth the line. The `MarkerStyle` property is used to set the markers at data points as triangles, and the `MarkerForegroundColor` property sets the marker color to blue. The `HasDataLabel` property is set to `True` to display data labels.

sht.api.Range(‘A1:B7’).Select()

cht=sht.api.Shapes.AddChart().Chart

ser2=cht.SeriesCollection(‘P2’) #Second series

ser2.ChartType=xw.constants.ChartType.xlLine #Line chart

ser2.Smooth=True #Smooth processing

ser2.MarkerStyle=xw.constants.MarkerStyle.xlMarkerStyleTriangle #Markers

ser2.MarkerForegroundColor=xw.utils.rgb_to_int((0,0,255)) #Color

ser2.HasDataLabels=True #Data labels

Sample Code

#Set series

import xlwings as xw
import os

root = os.getcwd()
app = xw.App(visible=True, add_book=False)
wb=app.books.open(root+r'/P1P2.xlsx',read_only=False)
sht=wb.sheets(1)

sht.api.Range('A1:B7').Select()
cht=sht.api.Shapes.AddChart().Chart
ser2=cht.SeriesCollection('P2')    #Second series
ser2.ChartType=xw.constants.ChartType.xlLine    #Line chart
ser2.Smooth=True    #Smooth processing
ser2.MarkerStyle=xw.constants.MarkerStyle.xlMarkerStyleTriangle    #Markers
ser2.MarkerForegroundColor=xw.utils.rgb_to_int((0,0,255))    #Color
ser2.HasDataLabels=True    #Data labels

#wb.save()
#wb.close()
#app.kill()

xlwings-Chart

March 7, 2026 (0)

Common Properties and Methods of the Chart Object

Method

Name	Meaning
BackWall	Returns the Walls object, which allows users to format the background wall of a 3D chart individually.
BarShape	Shape of the bars
ChartArea	Returns the ChartArea object, representing the entire chart area
ChartStyle	Returns or sets the chart style. You can use a number between 1 and 48 to set the chart style
ChartTitle	Returns the ChartTitle object, representing the title of the specified chart
ChartType	Returns or sets the chart type
Copy	Copies the chart worksheet to another location in the workbook
CopyPicture	Copies the chart as an image to the clipboard
DataTable	Returns the DataTable object, representing the data table of this chart
Delete	Deletes the chart
Export	Exports the chart as an image file
HasAxis	Returns or sets the axis displayed on the chart
HasDataTable	Returns True if the chart has a data table, otherwise False
HasTitle	Sets whether to display the title
Legend	Returns a Legend object, representing the chart legend
Move	Moves the chart worksheet to another location in the workbook
Name	The name of the chart
PlotArea	Returns a PlotArea object, representing the plot area of the chart
PlotBy	Returns or sets the way rows or columns are used as data series in the chart. This can be one of the XlRowCol constants: xlColumns or xlRows
SaveAs	Saves the chart to a different file
Select	Selects the chart
SeriesCollection	Returns a collection containing all series in the chart
SetElement	Sets chart elements
SetSourceData	Binds the data used to draw the chart
Visible	Returns or sets an XlSheetVisibility value to determine whether the object is visible
Walls	Returns a Walls object, representing the background walls of a 3D chart

sht.api.Range(‘A1:B7’).Select() #Data

cht=sht.api.Shapes.AddChart2().Chart #Add chart

axs=cht.Axes(1) #Horizontal axis

axs2=cht.Axes(2) #Vertical axis

axs.HasTitle=True #X axis title

axs.AxisTitle.Caption=’X Axis Title’ #Title text

axs.AxisTitle.Font.Italic=True #Font Italic

axs.AxisTitle.Font.Color=xw.utils.rgb_to_int((255, 0, 0)) #Font color is red

axs2.HasTitle=True #Vertical axis has title

axs2.AxisTitle.Caption=’Y Axis Title’ #Title text

axs2.AxisTitle.Font.Bold=True #Font bold

Sample Code

#Other Members of Chart Object

import xlwings as xw
import os

root=os.getcwd()
app=xw.App(visible=True,add_book=False)
wb=app.books.open('GDP.xlsx',read_only=False)
sht=wb.sheets('Sheet1')

sht.api.Range('A1:B7').Select()    #Data
cht=sht.api.Shapes.AddChart2().Chart    #Add chart
axs=cht.Axes(1)    #Horizontal axis
axs2=cht.Axes(2)    #Vertical axis
axs.HasTitle=True    #X axis title
axs.AxisTitle.Caption='X Axis Title'    #Title text
axs.AxisTitle.Font.Italic=True    #Font Italic
axs.AxisTitle.Font.Color=xw.utils.rgb_to_int((255, 0, 0))    #Font color is red
axs2.HasTitle=True    #Vertical axis has title
axs2.AxisTitle.Caption='Y Axis Title'    #Title text
axs2.AxisTitle.Font.Bold=True    #Font bold

#wb.save()
#wb.close()
#app.kill()

Common Properties and Methods of the Chart Object

xlwings-Chart

March 7, 2026 (0)

How To Setting the Chart Type Using xlwings?

Method

Sample Code

xlwings-Chart

March 6, 2026 (0)

How To Set Chart Series Using xlwings?

Method

You can set the chart type using the `chart_type` property of the chart object or the `ChartType` property of the Chart object. For a chart object `cht`, set the chart type as shown below:

【xlwings】

cht.chart_type=”column_clustered”

【xlwings API】

cht.ChartType=xw.constants.ChartType.xlColumnClustered

The values for the `chart_type` or `ChartType` property are as shown in the table below.

API Constant Name	API Value	xlwings Value	Description
xl3DArea	-4098	“3d_area”	3D Area Chart
xl3DAreaStacked	78	“3d_area_stacked”	3D Stacked Area Chart
xl3DAreaStacked100	79	“3d_area_stacked_100”	Percentage Stacked Area Chart
xl3DBarClustered	60	“3d_bar_clustered”	3D Clustered Bar Chart
xl3DBarStacked	61	“3d_bar_stacked”	3D Stacked Bar Chart
xl3DBarStacked100	62	“3d_bar_stacked_100”	3D Percentage Stacked Bar Chart
xl3DColumn	-4100	“3d_column”	3D Column Chart
xl3DColumnClustered	54	“3d_column_clustered”	3D Clustered Column Chart
xl3DColumnStacked	55	“3d_column_stacked”	3D Stacked Column Chart
xl3DColumnStacked100	56	“3d_column_stacked_100”	3D Percentage Stacked Column Chart
xl3DLine	-4101	“3d_line”	3D Line Chart
xl3DPie	-4102	“3d_pie”	3D Pie Chart
xl3DPieExploded	70	“3d_pie_exploded”	Exploded 3D Pie Chart
xlArea	1	“area”	Area Chart
xlAreaStacked	76	“area_stacked”	Stacked Area Chart
xlAreaStacked100	77	“area_stacked_100”	Percentage Stacked Area Chart
xlBarClustered	57	“bar_clustered”	Clustered Bar Chart
xlBarOfPie	71	“bar_of_pie”	Bar of Pie Chart
xlBarStacked	58	“bar_stacked”	Stacked Bar Chart
xlBarStacked100	59	“bar_stacked_100”	Percentage Stacked Bar Chart
xlBubble	个	“bubble”	Bubble Chart
xlBubble3DEffect	87	“bubble_3d_effect”	3D Bubble Chart
xlColumnClustered	51	“column_clustered”	Clustered Column Chart
xlColumnStacked	52	“column_stacked”	Stacked Column Chart
xlColumnStacked100	53	“column_stacked_100”	Percentage Stacked Column Chart
xlConeBarClustered	102	“cone_bar_clustered”	Clustered Cone Bar Chart
xlConeBarStacked	103	“cone_bar_stacked”	Stacked Cone Bar Chart
xlConeBarStacked100	104	“cone_bar_stacked_100”	Percentage Stacked Cone Bar Chart
xlConeCol	105	“cone_col”	3D Cone Column Chart
xlConeColClustered	99	“cone_col_clustered”	Clustered Cone Column Chart
xlConeColStacked	100	“cone_col_stacked”	Stacked Cone Column Chart
xlConeColStacked100	101	“cone_col_stacked_100”	Percentage Stacked Cone Column Chart
xlCylinderBarClustered	95	“cylinder_bar_clustered”	Clustered Cylinder Bar Chart
xlCylinderBarStacked	96	“cylinder_bar_stacked”	Stacked Cylinder Bar Chart
xlCylinderBarStacked100	97	“cylinder_bar_stacked_100”	Percentage Stacked Cylinder Bar Chart
xlCylinderCol	98	“cylinder_col”	3D Cylinder Column Chart
xlCylinderColClustered	92	“cylinder_col_clustered”	Clustered Cylinder Column Chart
xlCylinderColStacked	93	“cylinder_col_stacked”	Stacked Cylinder Column Chart
xlCylinderColStacked100	94	“cylinder_col_stacked_100”	Percentage Stacked Cylinder Column Chart
xlDoughnut	-4120	“doughnut”	Doughnut Chart
xlDoughnutExploded	80	“doughnut_exploded”	Exploded Doughnut Chart
xlLine	4	“line”	Line Chart
xlLineMarkers	65	“line_markers”	Line Chart with Data Markers
xlLineMarkersStacked	66	“line_markers_stacked”	Stacked Line Chart with Data Markers
xlLineMarkersStacked100	67	“line_markers_stacked_100”	Percentage Stacked Line Chart with Data Markers
xlLineStacked	63	“line_stacked”	Stacked Line Chart
xlLineStacked100	64	“line_stacked_100”	Percentage Stacked Line Chart
xlPie	5	“pie”	Pie Chart
xlPieExploded	69	“pie_exploded”	Exploded Pie Chart
xlPieOfPie	68	“pie_of_pie”	Pie of Pie Chart
xlPyramidBarClustered	109	“pyramid_bar_clustered”	Compound Bar Pyramid Chart
xlPyramidBarStacked	110	“pyramid_bar_stacked”	Stacked Bar Pyramid Chart
xlPyramidBarStacked100	111	“pyramid_bar_stacked_100”	Percentage Stacked Bar Pyramid Chart
xlPyramidCol	112	“pyramid_col”	3D Column Pyramid Chart
xlPyramidColClustered	106	“pyramid_col_clustered”	Compound Column Pyramid Chart
xlPyramidColStacked	107	“pyramid_col_stacked”	Stacked Column Pyramid Chart
xlPyramidColStacked100	108	“pyramid_col_stacked_100”	Percentage Stacked Column Pyramid Chart
xlRadar	-4151	“radar”	Radar Chart.
xlRadarFilled	82	“radar_filled”	Filled Radar Chart
xlRadarMarkers	81	“radar_markers”	Radar Chart with Data Markers
xlRegionMap	140		Map Chart
xlStockHLC	88	“stock_hlc”	High-Low-Close Stock Chart
xlStockOHLC	89	“stock_ohlc”	Open-High-Low-Close Stock Chart
xlStockVHLC	90	“stock_vhlc”	Volume-High-Low-Close Stock Chart
xlStockVOHLC	91	“stock_vohlc”	Volume-Open-High-Low-Close Stock Chart
xlSurface	83	“surface”	3D Surface Chart
xlSurfaceTopView	85	“surface_top_view”	Surface Chart (Top View)
xlSurfaceTopViewWireframe	86	“surface_top_view_wireframe”	Surface Chart (Top View Wireframe)
xlSurfaceWireframe	84	“surface_wireframe”	3D Surface Chart (Wireframe)
xlXYScatter	-4169	“xy_scatter”	Scatter Plot
xlXYScatterLines	74	“xy_scatter_lines”	Line Scatter Plot
xlXYScatterLinesNoMarkers	75	“xy_scatter_lines_no_markers”	Line Scatter Plot Without Markers
xlXYScatterSmooth	72	“xy_scatter_smooth”	Smooth Line Scatter Plot
xlXYScatterSmoothNoMarkers	73	“xy_scatter_smooth_no_markers”	Smooth Line Scatter Plot Without Markers

sht.api.Range(‘A1’).CurrentRegion.Select() #Data

sht.api.Shapes.AddChart2(-1,xw.constants.ChartType.xlColumnClustered,20,150,300,200,True)

Sample Code

#Chart type

import xlwings as xw
import os

root = os.getcwd()
app = xw.App(visible=True, add_book=False)
wb=app.books.open('GDP.xlsx',read_only=False)
sht=wb.sheets(1)

sht.api.Range('A1').CurrentRegion.Select()    #Data
sht.api.Shapes.AddChart2(-1,xw.constants.ChartType.xlColumnClustered,20,150,300,200,True)
sht.api.Shapes.AddChart2(-1,xw.constants.ChartType.xlBarClustered,400,150,300,200,True)
sht.api.Shapes.AddChart2(-1,xw.constants.ChartType.xlConeBarStacked,20,400,300,200,True)
sht.api.Shapes.AddChart2(-1,xw.constants.ChartType.xlLineMarkersStacked,400,400,300,200,True)
sht.api.Shapes.AddChart2(-1,xw.constants.ChartType.xlXYScatter,20,650,300,200,True)
sht.api.Shapes.AddChart2(-1,xw.constants.ChartType.xlPieOfPie,400,650,300,200,True)

#wb.save()
#wb.close()
#app.kill()

xlwings-Chart

March 6, 2026 (0)