(7, 50, 30),
]
for row in rows:
ws.append(row)
chart1 = BarChart()
chart1.type = "col"
chart1.style = 10
chart1.title = "Bar Chart"
chart1.y_axis.title = 'Test number'
chart1.x_axis.title = 'Sample length (mm)'
data = Reference(ws, min_col=2, min_row=1, max_row=7, max_col=3)
cats = Reference(ws, min_col=1, min_row=2, max_row=7)
chart1.add_data(data, titles_from_data=True)
chart1.set_categories(cats)
chart1.shape = 4
ws.add_chart(chart1, "A10")
from copy import deepcopy
chart2 = deepcopy(chart1)
chart2.style = 11
chart2.type = "bar"
chart2.title = "Horizontal Bar Chart"
ws.add_chart(chart2, "G10")
Series,
)
wb = Workbook()
ws = wb.active
rows = [
['Aliens', 2, 3, 4, 5, 6, 7],
['Humans', 10, 40, 50, 20, 10, 50],
]
for row in rows:
ws.append(row)
c1 = BarChart()
v1 = Reference(ws, min_col=1, min_row=1, max_col=7)
c1.add_data(v1, titles_from_data=True, from_rows=True)
c1.x_axis.title = 'Days'
c1.y_axis.title = 'Aliens'
c1.y_axis.majorGridlines = None
c1.title = 'Survey results'
# Create a second chart
c2 = LineChart()
v2 = Reference(ws, min_col=1, min_row=2, max_col=7)
c2.add_data(v2, titles_from_data=True, from_rows=True)
c2.y_axis.axId = 200
c2.y_axis.title = "Humans"
# Display y-axis of the second chart on the right by setting it to cross the x-axis at its maximum
],
['Feb', 0, 5500, 750, 1500],
['Mar', 0, 9000, 1500, 2500],
['Apr', 0, 6500, 2000, 4000],
['May', 0, 3500, 5500, 3500],
['Jun', 0, 0, 7500, 1500],
['Jul', 0, 0, 8500, 800],
['Aug', 1500, 0, 7000, 550],
['Sep', 5000, 0, 3500, 2500],
['Oct', 8500, 0, 2500, 6000],
['Nov', 3500, 0, 500, 5500],
['Dec', 500, 0, 100, 3000],
]
for row in rows:
ws.append(row)
chart = RadarChart()
chart.type = "filled"
labels = Reference(ws, min_col=1, min_row=2, max_row=13)
data = Reference(ws, min_col=2, max_col=5, min_row=1, max_row=13)
chart.add_data(data, titles_from_data=True)
chart.set_categories(labels)
chart.style = 26
chart.title = "Garden Centre Sales"
chart.y_axis.delete = True
ws.add_chart(chart, "A17")
wb.save("radar.xlsx")
(22, 32000, 42),
(),
(12, 8200, 18),
(15, 50000, 30),
(19, 22400, 15),
(25, 25000, 50),
]
for row in rows:
ws.append(row)
chart = BubbleChart()
chart.style = 18 # use a preset style
# add the first series of data
xvalues = Reference(ws, min_col=1, min_row=2, max_row=5)
yvalues = Reference(ws, min_col=2, min_row=2, max_row=5)
size = Reference(ws, min_col=3, min_row=2, max_row=5)
series = Series(values=yvalues, xvalues=xvalues, zvalues=size, title="2013")
chart.series.append(series)
# add the second
xvalues = Reference(ws, min_col=1, min_row=7, max_row=10)
yvalues = Reference(ws, min_col=2, min_row=7, max_row=10)
size = Reference(ws, min_col=3, min_row=7, max_row=10)
series = Series(values=yvalues, xvalues=xvalues, zvalues=size, title="2014")
chart.series.append(series)
# place the chart starting in cell E1
ws.add_chart(chart, "E1")
wb.save("bubble.xlsx")
chart4.title = "Both Log Scale"
chart4.x_axis.title = 'x (log10)'
chart4.y_axis.title = 'y (log10)'
chart4.legend = None
chart4.x_axis.scaling.logBase = 10
chart4.y_axis.scaling.logBase = 10
chart5 = ScatterChart()
chart5.title = "Log Scale Base e"
chart5.x_axis.title = 'x (ln)'
chart5.y_axis.title = 'y (ln)'
chart5.legend = None
chart5.x_axis.scaling.logBase = math.e
chart5.y_axis.scaling.logBase = math.e
x = Reference(ws, min_col=1, min_row=2, max_row=22)
y = Reference(ws, min_col=2, min_row=2, max_row=22)
s = Series(y, xvalues=x)
chart1.append(s)
chart2.append(s)
chart3.append(s)
chart4.append(s)
chart5.append(s)
ws.add_chart(chart1, "C1")
ws.add_chart(chart2, "I1")
ws.add_chart(chart3, "C15")
ws.add_chart(chart4, "I15")
ws.add_chart(chart5, "F30")
wb.save("log.xlsx")
("Sample", ),
(1, ),
(2, ),
(3, ),
(2, ),
(3, ),
(3, ),
(1, ),
(2, ),
]
for r in rows:
ws.append(r)
c = BarChart()
data = Reference(ws, min_col=1, min_row=1, max_row=8)
c.add_data(data, titles_from_data=True)
c.title = "Chart with patterns"
# set a pattern for the whole series
series = c.series[0]
fill = PatternFillProperties(prst="pct5")
fill.foreground = ColorChoice(prstClr="red")
fill.background = ColorChoice(prstClr="blue")
series.graphicalProperties.pattFill = fill
# set a pattern for a 6th data point (0-indexed)
pt = DataPoint(idx=5)
pt.graphicalProperties.pattFill = PatternFillProperties(prst="ltHorz")
series.dPt.append(pt)
chart3 = ScatterChart()
chart3.title = "Flip Y"
chart3.x_axis.title = 'x'
chart3.y_axis.title = 'y'
chart3.legend = None
chart3.x_axis.scaling.orientation = "minMax"
chart3.y_axis.scaling.orientation = "maxMin"
chart4 = ScatterChart()
chart4.title = "Flip Both"
chart4.x_axis.title = 'x'
chart4.y_axis.title = 'y'
chart4.legend = None
chart4.x_axis.scaling.orientation = "maxMin"
chart4.y_axis.scaling.orientation = "maxMin"
x = Reference(ws, min_col=2, min_row=2, max_row=102)
y = Reference(ws, min_col=3, min_row=2, max_row=102)
s = Series(y, xvalues=x)
chart1.append(s)
chart2.append(s)
chart3.append(s)
chart4.append(s)
ws.add_chart(chart1, "D1")
ws.add_chart(chart2, "J1")
ws.add_chart(chart3, "D15")
ws.add_chart(chart4, "J15")
wb.save("orientation.xlsx")
[100],
]
# based on http://www.excel-easy.com/examples/gauge-chart.html
wb = Workbook()
ws = wb.active
for row in data:
ws.append(row)
# First chart is a doughnut chart
c1 = DoughnutChart(firstSliceAng=270, holeSize=50)
c1.title = "Code coverage"
c1.legend = None
ref = Reference(ws, min_col=1, min_row=2, max_row=5)
s1 = Series(ref, title_from_data=False)
slices = [DataPoint(idx=i) for i in range(4)]
slices[0].graphicalProperties.solidFill = "FF3300" # red
slices[1].graphicalProperties.solidFill = "FCF305" # yellow
slices[2].graphicalProperties.solidFill = "1FB714" # green
slices[3].graphicalProperties.noFill = True # invisible
s1.data_points = slices
c1.series = [s1]
# Second chart is a pie chart
c2 = PieChart(firstSliceAng=270)
c2.legend = None
rows = [
['Size', 'Batch 1', 'Batch 2'],
[2, 40, 30],
[3, 40, 25],
[4, 50, 30],
[5, 30, 25],
[6, 25, 35],
[7, 20, 40],
]
for row in rows:
ws.append(row)
ch1 = ScatterChart()
xvalues = Reference(ws, min_col=1, min_row=2, max_row=7)
for i in range(2, 4):
values = Reference(ws, min_col=i, min_row=1, max_row=7)
series = Series(values, xvalues, title_from_data=True)
ch1.series.append(series)
ch1.title = "Default layout"
ch1.style = 13
ch1.x_axis.title = 'Size'
ch1.y_axis.title = 'Percentage'
ch1.legend.position = 'r'
ws.add_chart(ch1, "B10")
from copy import deepcopy
[
'2015-01-05',
12000,
21.9,
23.65,
19.50,
21.51,
],
]
for row in rows:
ws.append(row)
# High-low-close
c1 = StockChart()
labels = Reference(ws, min_col=1, min_row=2, max_row=6)
data = Reference(ws, min_col=4, max_col=6, min_row=1, max_row=6)
c1.add_data(data, titles_from_data=True)
c1.set_categories(labels)
for s in c1.series:
s.graphicalProperties.line.noFill = True
# marker for close
s.marker.symbol = "dot"
s.marker.size = 5
c1.title = "High-low-close"
c1.hiLowLines = ChartLines()
# Excel is broken and needs a cache of values in order to display hiLoLines :-/
from openpyxl2.chart.data_source import NumData, NumVal
pts = [NumVal(idx=i) for i in range(len(data) - 1)]
wb = Workbook()
ws = wb.active
rows = [
['Date', 'Batch 1', 'Batch 2', 'Batch 3'],
[date(2015, 9, 1), 40, 30, 25],
[date(2015, 9, 2), 40, 25, 30],
[date(2015, 9, 3), 50, 30, 45],
[date(2015, 9, 4), 30, 25, 40],
[date(2015, 9, 5), 25, 35, 30],
[date(2015, 9, 6), 20, 40, 35],
]
for row in rows:
ws.append(row)
c1 = LineChart3D()
c1.title = "3D Line Chart"
c1.legend = None
c1.style = 15
c1.y_axis.title = 'Size'
c1.x_axis.title = 'Test Number'
data = Reference(ws, min_col=2, min_row=1, max_col=4, max_row=7)
c1.add_data(data, titles_from_data=True)
ws.add_chart(c1, "A10")
wb.save("line3D.xlsx")
data = [
['Pie', 2014, 2015],
['Plain', 40, 50],
['Jam', 2, 10],
['Lime', 20, 30],
['Chocolate', 30, 40],
]
wb = Workbook()
ws = wb.active
for row in data:
ws.append(row)
chart = DoughnutChart()
labels = Reference(ws, min_col=1, min_row=2, max_row=5)
data = Reference(ws, min_col=2, min_row=1, max_row=5)
chart.add_data(data, titles_from_data=True)
chart.set_categories(labels)
chart.title = "Doughnuts sold by category"
chart.style = 26
# Cut the first slice out of the doughnut
slices = [DataPoint(idx=i) for i in range(4)]
plain, jam, lime, chocolate = slices
chart.series[0].data_points = slices
plain.graphicalProperties.solidFill = "FAE1D0"
jam.graphicalProperties.solidFill = "BB2244"
lime.graphicalProperties.solidFill = "22DD22"
chocolate.graphicalProperties.solidFill = "61210B"
chocolate.explosion = 10
from openpyxl2 import Workbook
from openpyxl2.chart import (
Reference,
Series,
BarChart3D,
)
wb = Workbook()
ws = wb.active
rows = [(None, 2013, 2014), ("Apples", 5, 4), ("Oranges", 6, 2),
("Pears", 8, 3)]
for row in rows:
ws.append(row)
data = Reference(ws, min_col=2, min_row=1, max_col=3, max_row=4)
titles = Reference(ws, min_col=1, min_row=2, max_row=4)
chart = BarChart3D()
chart.title = "3D Bar Chart"
chart.add_data(data=data, titles_from_data=True)
chart.set_categories(titles)
ws.add_chart(chart, "E5")
wb.save("bar3d.xlsx")
[
0.8,
35,
105,
170,
105,
35,
],
[0.9, 15, 65, 105, 65, 15],
]
for row in data:
ws.append(row)
c1 = SurfaceChart()
ref = Reference(ws, min_col=2, max_col=6, min_row=1, max_row=10)
labels = Reference(ws, min_col=1, min_row=2, max_row=10)
c1.add_data(ref, titles_from_data=True)
c1.set_categories(labels)
c1.title = "Contour"
ws.add_chart(c1, "A12")
from copy import deepcopy
# wireframe
c2 = deepcopy(c1)
c2.wireframe = True
c2.title = "2D Wireframe"
ws.add_chart(c2, "G12")