def test_has_dtypes():
df = pd.DataFrame({'A': np.random.randint(0, 10, 10),
'B': np.random.randn(10),
'C': list('abcdefghij'),
'D': pd.Categorical(np.random.choice(['a', 'b'], 10))})
dtypes = {'A': int, 'B': 'float', 'C': object, 'D': 'category'}
tm.assert_frame_equal(df, ck.has_dtypes(df, dtypes))
tm.assert_frame_equal(df, dc.has_dtypes(items=dtypes)(_noop)(df))
with pytest.raises(AssertionError):
ck.has_dtypes(df, {'A': float})
with pytest.raises(AssertionError):
dc.has_dtypes(items={'A': bool})(_noop)(df)
def test_has_dtypes():
df = pd.DataFrame({'A': np.random.randint(0, 10, 10),
'B': np.random.randn(10),
'C': list('abcdefghij'),
'D': pd.Categorical(np.random.choice(['a', 'b'], 10))})
dtypes = {'A': int, 'B': 'float', 'C': object, 'D': 'category'}
tm.assert_frame_equal(df, ck.has_dtypes(df, dtypes))
tm.assert_frame_equal(df, dc.has_dtypes(items=dtypes)(_noop)(df))
with pytest.raises(AssertionError):
ck.has_dtypes(df, {'A': float})
with pytest.raises(AssertionError):
dc.has_dtypes(items={'A': bool})(_noop)(df)
def test_has_dtypes_funcs():
pat = pd.api.types
df = pd.DataFrame({
'A': np.random.randint(0, 10, 10),
'B': np.random.randn(10),
'C': list('abcdefghij'),
'D': pd.Categorical(np.random.choice(['a', 'b'], 10))
})
dtypes = {
'A': pat.is_integer_dtype,
'B': pat.is_float_dtype,
'C': pat.is_string_dtype,
'D': pat.is_categorical_dtype
}
tm.assert_frame_equal(df, ck.has_dtypes(df, dtypes))
tm.assert_frame_equal(df, dc.has_dtypes(items=dtypes)(_noop)(df))
with pytest.raises(AssertionError):
ck.has_dtypes(df, {'A': pat.is_float_dtype})
with pytest.raises(AssertionError):
ck.has_dtypes(df, {'A': pat.is_integer})
with pytest.raises(AssertionError):
dc.has_dtypes(items={'A': pat.is_bool_dtype})(_noop)(df)
def wrapper(*args, **kwargs):
result = func(*args, **kwargs)
ck.has_dtypes(result, items)
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.has_dtypes(result, items)
return result
