def test_simple_exhibit():
raa = cl.load_dataset('raa')
col = cl.Column(cl.DataFrame(raa, margin=(0, 0, 1, 0)),
cl.DataFrame(raa.link_ratio, formats={'italic': True}))
composite = cl.Row(col,
col,
title=['This title spans both Column Objects'],
margin=(0, 1, 0, 0))
x = cl.Tabs(('a_sheet', composite),
('another_sheet', composite)).to_excel('workbook.xlsx')
def test_simple_exhibit():
raa = cl.load_sample("raa")
col = cl.Column(
cl.DataFrame(raa, margin=(0, 0, 1, 0)),
cl.DataFrame(raa.link_ratio, formats={"italic": True}),
)
composite = cl.Row(
col, col, title=["This title spans both Column Objects"], margin=(0, 1, 0, 0)
)
x = cl.Tabs(("a_sheet", composite), ("another_sheet", composite)).to_excel(
"workbook.xlsx"
)
cl.Development(n_periods=10).fit(clrd.loc[lob_abb]).ldf_.to_frame(),
cl.Development().fit(clrd.loc[lob_abb]).ldf_.to_frame()))
ldfs.index = ['2 Yr Wtd', '3 Yr Wtd', '7 Yr Wtd', '10 Yr Wtd', 'Selected']
# Excel exhibit
sheets.append((
lob,
# Layout individual sheet vertically (i.e. Column)
cl.Column(
cl.Title([
'CAS Loss Reserve Database', lob, 'Cumulative Paid Loss',
'Evaluated as of December 31, 1997'
]),
cl.DataFrame(clrd.loc[lob_abb],
index_label='Accident Year',
formats={
'num_format': '#,#',
'align': 'center'
}), cl.CSpacer(),
cl.DataFrame(clrd.loc[lob_abb].link_ratio,
index_label='Accident Year',
formats={
'num_format': '0.000',
'align': 'center'
}), cl.CSpacer(),
cl.DataFrame(ldfs,
index_label='Averages',
formats={
'num_format': '0.000',
'align': 'center'
}))))