def test_read_dbf(self):
df = read_sinan_dbf('test_data/EPR-2016-06-01-2016.dbf', encoding='latin-1')
self.assertIsInstance(df, pd.DataFrame)
for cname in df.columns:
if cname.startswith('DT_'):
self.assertIsInstance(df[cname][0], datetime.date)
elif cname.startswith('SEM'):
self.assertLessEqual(df[cname][0], 52)
self.assertIsInstance(df[cname][0], (int, np.int64))
elif cname.startswith(('NU', 'ID')):
if cname == 'ID_AGRAVO': continue
self.assertIsInstance(df[cname][0], (int, float, np.int64),
msg="Failed on column {}, type:{}".format(cname, type(df[cname][0])))
def test_read_dbf(self):
df = read_sinan_dbf('test_data/EPR-2016-06-01-2016.dbf', encoding='latin-1')
self.assertIsInstance(df, pd.DataFrame)
for cname in df.columns:
if cname.startswith('DT_'):
self.assertIsInstance(df[cname][0], datetime.date)
elif cname.startswith('SEM'):
self.assertLessEqual(df[cname][0], 52)
self.assertIsInstance(df[cname][0], (int, np.int64))
elif cname.startswith(('NU', 'ID')):
if cname == 'ID_AGRAVO': continue
self.assertIsInstance(df[cname][0], (int, float, np.int64),
msg="Failed on column {}, type:{}".format(cname, type(df[cname][0])))
def test_read_dbf(self):
df = read_sinan_dbf("test_data/EPR-2016-06-01-2016.dbf",
encoding="latin-1")
self.assertIsInstance(df, pd.DataFrame)
for cname in df.columns:
if cname.startswith("DT_"):
self.assertIsInstance(df[cname][0], datetime.date)
elif cname.startswith("SEM"):
self.assertLessEqual(df[cname][0], 52)
self.assertIsInstance(df[cname][0], (int, np.int64))
elif cname.startswith(("NU", "ID")):
if cname == "ID_AGRAVO":
continue
self.assertIsInstance(
df[cname][0],
(int, float, np.int64),
msg="Failed on column {}, type:{}".format(
cname, type(df[cname][0])),
)
def test_type_convertion(self):
df = read_sinan_dbf('test_data/EPR-2016-06-01-2016.dbf', encoding='latin-1')
assert not all(df.dtypes == 'object')
def test_type_convertion(self):
df = read_sinan_dbf("test_data/EPR-2016-06-01-2016.dbf",
encoding="latin-1")
assert not all(df.dtypes == "object")
def test_type_convertion(self):
df = read_sinan_dbf('test_data/EPR-2016-06-01-2016.dbf', encoding='latin-1')
assert not all(df.dtypes == 'object')