def test__import_vd(self):
fo = {
"file": TestToCERO_FileObj._dd + "test__import_vd.VD",
"date_col": 3,
"val_col": 8
}
fo = ToCERO._FileObj(fo)
df = fo._import_vd()
df.columns.set_names([None], inplace=True)
df = df.astype(pd.np.float32)
test_df = pd.DataFrame.from_dict(
{
("VAR_Act", "-", "FT_COMELC", "ACT", "2015", "PD", "-"): [
0.740833333333336, 0.740833333333336, 0.8005115537522,
0.829127920241238
]
},
orient="index",
dtype=pd.np.float32)
test_df.columns = pd.Index([2015, 2016, 2020, 2025])
test_df.sort_index(inplace=True)
self.assertTrue(test_df.equals(df))
fo = {
"file": TestToCERO_FileObj._dd + "test__import_vd.VD",
"date_col": 3,
"val_col": 8,
"default_year": 2018
}
fo = ToCERO._FileObj(fo)
df = fo._import_vd()
df.columns.set_names([None], inplace=True)
df = df.astype(pd.np.float32)
df.sort_index(inplace=True)
test_df = pd.DataFrame(data=[
[
0.740833333333336, 0.740833333333336, pd.np.nan,
0.8005115537522, 0.829127920241238
],
[pd.np.nan, pd.np.nan, 1.39891653080538, pd.np.nan, pd.np.nan],
[pd.np.nan, pd.np.nan, 19.6047685777802, pd.np.nan, pd.np.nan],
[pd.np.nan, pd.np.nan, 31516.8951973493, pd.np.nan, pd.np.nan],
],
columns=[2015, 2016, 2018, 2020, 2025],
dtype=pd.np.float32)
test_df.index = CERO.create_cero_index([
("VAR_Act", "-", "FT_COMELC", "ACT", "2015", "PD", "-"),
("Cost_Salv", "-", "EN_WinONS-26", "ADE", "2040", "-", "-"),
("Cost_NPV", "-", "EE_StmTurb009", "CQ", "-", "-", "ACT"),
("Reg_irec", "-", "-", "WA", "-", "-", "-"),
])
test_df.sort_index(inplace=True)
self.assertTrue(test_df.equals(df))
def test_regex_format(self):
tc = ToCERO({
"files": [{
"file": TestToCERO._dd + "test_csv_regex.csv",
"time_regex":
r"(Y\d{4}).*", # Regex could pick out just the year, but want to test 'time_fmt' as well...
"time_fmt": r"Y%Y"
}]
})
cero = tc.create_cero()
test_df = pd.DataFrame(data=[[1, 2], [3, 4]],
columns=[2016, 2017],
dtype=pd.np.float32)
test_df.index = CERO.create_cero_index(["A", "B"])
test_df.columns = pd.DatetimeIndex(
pd.to_datetime([2016, 2017], format="%Y"))
test_df.sort_index(inplace=True)
self.assertTrue(cero.equals(test_df))
def test_csv_orientation(self):
tc = ToCERO._FileObj(
{"file": TestToCERO_FileObj._dd + "test_csv_orientation.csv"})
with self.assertRaises(TypeError):
df = tc._import_file()
tc = ToCERO._FileObj({
"file": TestToCERO_FileObj._dd + "test_csv_orientation.csv",
"orientation": "cols"
})
df = tc._import_file()
test_df = pd.DataFrame(data=[[1, 2], [3, 4]],
columns=[2016, 2017],
dtype=pd.np.float32)
test_df.index = CERO.create_cero_index(["A", "B"])
test_df.sort_index(inplace=True)
self.assertTrue(df.equals(test_df))
