def test_ctor(self, WorksheetCopy):
wb = Workbook()
ws1 = wb.create_sheet()
ws2 = wb.create_sheet()
copier = WorksheetCopy(ws1, ws2)
assert copier.source == ws1
assert copier.target == ws2
def test_write_hyperlink_image_rels(Workbook, Image, datadir):
datadir.chdir()
wb = Workbook()
ws = wb.create_sheet()
ws['A1'].value = "test"
ws['A1'].hyperlink = "http://test.com/"
i = Image("plain.png")
ws.add_image(i)
raise ValueError("Resulting file is invalid")
def test_write_hidden_worksheet():
wb = Workbook()
ws = wb.active
ws.sheet_state = ws.SHEETSTATE_HIDDEN
wb.create_sheet()
xml = write_workbook(wb)
expected = """
<workbook xmlns="http://schemas.openxmlformats.org/spreadsheetml/2006/main" xmlns:r="http://schemas.openxmlformats.org/officeDocument/2006/relationships">
<workbookPr/>
<workbookProtection/>
<bookViews>
<workbookView activeTab="1"/>
</bookViews>
<sheets>
<sheet name="Sheet" sheetId="1" state="hidden" r:id="rId1"/>
<sheet name="Sheet1" sheetId="2" state="visible" r:id="rId2"/>
</sheets>
<definedNames/>
<calcPr calcId="124519" fullCalcOnLoad="1"/>
</workbook>
"""
diff = compare_xml(xml, expected)
assert diff is None, diff
def copier(WorksheetCopy):
wb = Workbook()
ws1 = wb.active
ws2 = wb.create_sheet('copy_sheet')
return WorksheetCopy(ws1, ws2)
from openpyxl25 import Workbook
from openpyxl25.chart import BarChart, Series, Reference
wb = Workbook(write_only=True)
ws = wb.create_sheet()
rows = [
('Number', 'Batch 1', 'Batch 2'),
(2, 10, 30),
(3, 40, 60),
(4, 50, 70),
(5, 20, 10),
(6, 10, 40),
(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.append(row)
pie = PieChart()
labels = Reference(ws, min_col=1, min_row=2, max_row=5)
data = Reference(ws, min_col=2, min_row=1, max_row=5)
pie.add_data(data, titles_from_data=True)
pie.set_categories(labels)
pie.title = "Pies sold by category"
# Cut the first slice out of the pie
slice = DataPoint(idx=0, explosion=20)
pie.series[0].data_points = [slice]
ws.add_chart(pie, "D1")
ws = wb.create_sheet(title="Projection")
data = [
['Page', 'Views'],
['Search', 95],
['Products', 4],
['Offers', 0.5],
['Sales', 0.5],
]
for row in data:
ws.append(row)
projected_pie = ProjectedPieChart()
projected_pie.type = "pie"
projected_pie.splitType = "val" # split by value
