def test_none_missing_raises():
df = pd.DataFrame(np.random.randn(5, 3))
df.iloc[0, 0] = np.nan
with pytest.raises(AssertionError):
ck.none_missing(df)
with pytest.raises(AssertionError):
dc.none_missing()(_add_n)(df, n=2)
def test_none_missing_raises():
df = pd.DataFrame(np.random.randn(5, 3))
df.iloc[0, 0] = np.nan
with pytest.raises(AssertionError):
ck.none_missing(df)
with pytest.raises(AssertionError):
dc.none_missing()(_add_n)(df, n=2)
def test_none_missing():
df = pd.DataFrame(np.random.randn(5, 3))
result = ck.none_missing(df)
tm.assert_frame_equal(df, result)
result = dc.none_missing()(_add_one)(df)
tm.assert_frame_equal(result, df + 1)
def test_none_missing():
df = pd.DataFrame(np.random.randn(5, 3))
result = ck.none_missing(df)
tm.assert_frame_equal(df, result)
result = dc.none_missing()(_add_n)(df, 2)
tm.assert_frame_equal(result, df + 2)
result = dc.none_missing()(_add_n)(df, n=2)
tm.assert_frame_equal(result, df + 2)
def read_file(file_path):
if file_path.lower().endswith(".json"):
feedback = pd.read_json(file_path)
ec.is_shape(feedback, (-1, 5))
elif file_path.lower().endswith(".csv"):
feedback = pd.read_csv(file_path)
ec.is_shape(feedback, (-1, 6))
else:
raise ValueError("This file format is not supported yet.")
try:
ec.none_missing(feedback, [
"message", "airline_code", "number_of_fellow_passengers",
"did_receive_compensation", "total_compensation_amount"
])
except AssertionError:
print("Missing values")
return feedback
def wrapper(*args, **kwargs):
result = func(*args, **kwargs)
ck.none_missing(result)
return result
def check(data, ranges=ranges, dtypes=dtypes):
ec.unique_index(data)
ec.none_missing(data)
ec.within_range(data, items=ranges)
ec.has_dtypes(data, items=dtypes)
def wrapper(*args, **kwargs):
result = func(*args, **kwargs)
ck.none_missing(result)
return result
