def test_extract_float_from_category(self):
table = pd.DataFrame(
{"A": ["1", "2.1", "note: 3.2", "-3", "-3.0"]}, dtype="category"
)
form = Form(["A"], True, InputNumberType.FLOAT, error_means_null=True)
result = form.convert_table(table)
assert_frame_equal(result, pd.DataFrame({"A": [np.nan, 2.1, 3.2, np.nan, -3]}))
def test_extract_float_eu(self):
table = pd.DataFrame({"A": ["1,234", "2,345.67", "3.456"]})
form = Form(
["A"], True, InputNumberType.FLOAT, InputLocale.EU, error_means_null=True
)
result = form.convert_table(table)
assert_frame_equal(result, pd.DataFrame({"A": [1.234, 2.345, np.nan]}))
def test_match_eu_thousands_must_be_in_groups_of_3(self):
form = Form(
["A"], False, InputNumberType.ANY, InputLocale.EU, error_means_null=True
)
result = form.convert_table(
pd.DataFrame({"A": ["123.4", "2.345.1", "3.23,123"]})
)
assert_frame_equal(result, pd.DataFrame({"A": [np.nan, np.nan, np.nan]}))
def test_error_on_no_match(self):
table = pd.DataFrame({"A": ["", ".", np.nan, "1", "2.1"]})
form = Form(["A"], True, InputNumberType.INTEGER, InputLocale.US)
result = form.convert_table(table)
self.assertEqual(
result,
i18n_message(
"ErrorCount.message",
{
"a_value": "",
"a_row": 1,
"a_column": "A",
"n_errors": 2,
"n_columns": 1,
},
),
)
def test_replace_with_null(self):
table = pd.DataFrame({"A": ["", ".", np.nan, "1", "2.1"]})
form = Form(["A"], True, InputNumberType.INTEGER, InputLocale.US, True)
result = form.convert_table(table)
assert_frame_equal(result, pd.DataFrame({"A": [np.nan, np.nan, np.nan, 1, 2]}))
def test_extract_integer_eu(self):
table = pd.DataFrame({"A": ["1,234", "2,345.67", "3.456"]})
form = Form(["A"], True, InputNumberType.INTEGER, InputLocale.EU)
result = form.convert_table(table)
assert_frame_equal(result, pd.DataFrame({"A": [1, 2, 3456]}))
def test_extract_integer_from_category(self):
table = pd.DataFrame({"A": ["1", "2.1", "note: 3.2"]}, dtype="category")
form = Form(["A"], True, InputNumberType.INTEGER)
result = form.convert_table(table)
assert_frame_equal(result, pd.DataFrame({"A": [1, 2, 3]}))
def test_extract_any_eu_thousands_must_be_in_groups_of_3(self):
form = Form(["A"], True, InputNumberType.ANY, InputLocale.EU, True)
result = form.convert_table(
pd.DataFrame({"A": ["123.4", "2.345.1", "3.23,123"]})
)
assert_frame_equal(result, pd.DataFrame({"A": [123, 2345, 3]}))
def test_extract_any_us(self):
table = pd.DataFrame({"A": ["1,234", "2,345.67", "3.456"]})
form = Form(["A"], True, InputNumberType.ANY, InputLocale.US)
result = form.convert_table(table)
assert_frame_equal(result, pd.DataFrame({"A": [1234, 2345.67, 3.456]}))
def test_extract_any_from_category(self):
table = pd.DataFrame({"A": ["1", "2.1", "note: 3.2"]}, dtype="category")
form = Form(["A"], True, InputNumberType.ANY)
result = form.convert_table(table)
assert_frame_equal(result, pd.DataFrame({"A": [1.0, 2.1, 3.2]}))
def test_extract_any_from_str(self):
table = pd.DataFrame({"A": ["1", "2.1", "note: 3.2", "-3.1"]})
form = Form(["A"], True, InputNumberType.ANY, error_means_null=True)
result = form.convert_table(table)
assert_frame_equal(result, pd.DataFrame({"A": [1.0, 2.1, 3.2, -3.1]}))