def test_pow(self):
df_result = df5**3
df_answer = alt.DataFrame({'a': a5**3, 'b': b5**3})
assert_df_equals(df_result, df_answer)
df_result = 2**df5
df_answer = alt.DataFrame({'a': 2**a5, 'b': 2**b5})
assert_df_equals(df_result, df_answer)
def test_eq_ne(self):
df_result = df5 == 3
df_answer = alt.DataFrame({'a': a5 == 3, 'b': b5 == 3})
assert_df_equals(df_result, df_answer)
df_result = df5 != 2
df_answer = alt.DataFrame({'a': a5 != 2, 'b': b5 != 2})
assert_df_equals(df_result, df_answer)
def test_ge_le(self):
df_result = df5 >= 3
df_answer = alt.DataFrame({'a': a5 >= 3, 'b': b5 >= 3})
assert_df_equals(df_result, df_answer)
df_result = df5 < 2
df_answer = alt.DataFrame({'a': a5 <= 2, 'b': b5 <= 2})
assert_df_equals(df_result, df_answer)
def test_median(self):
df_result = df1.median()
df_answer = alt.DataFrame({'b': np.array([8]), 'c': np.array([4.25])})
assert_df_equals(df_result, df_answer)
df_result = df1.median(axis=1)
df_answer = alt.DataFrame({'median': np.array([7.2, 5.0, 6.55])})
assert_df_equals(df_result, df_answer)
def test_sub(self):
df_result = df5 - 3
df_answer = alt.DataFrame({'a': a5 - 3, 'b': b5 - 3})
assert_df_equals(df_result, df_answer)
df_result = 3 - df5
df_answer = alt.DataFrame({'a': 3 - a5, 'b': 3 - b5})
assert_df_equals(df_result, df_answer)
def test_gt_lt(self):
df_result = df5 > 3
df_answer = alt.DataFrame({'a': a5 > 3, 'b': b5 > 3})
assert_df_equals(df_result, df_answer)
df_result = df5 < 2
df_answer = alt.DataFrame({'a': a5 < 2, 'b': b5 < 2})
assert_df_equals(df_result, df_answer)
def test_floordiv(self):
df_result = df5 // 3
df_answer = alt.DataFrame({'a': a5 // 3, 'b': b5 // 3})
assert_df_equals(df_result, df_answer)
df_result = 3 // df5
df_answer = alt.DataFrame({'a': 3 // a5, 'b': 3 // b5})
assert_df_equals(df_result, df_answer)
def test_var(self):
df_result = df1.var()
df_answer = alt.DataFrame({
'b': np.array([np.nanvar(b1, ddof=1)]),
'c': np.array([np.nanvar(c1, ddof=1)])
})
assert_df_equals(df_result, df_answer)
df_result = df1.var(axis=1)
df_answer = alt.DataFrame({'var': np.array([28.88, np.nan, 4.205])})
assert_df_equals(df_result, df_answer)
def test_sum(self):
df_result = df1.sum()
df_answer = alt.DataFrame({
'a': np.array(['abc'], dtype='O'),
'b': np.array([24]),
'c': np.array([8.5])
})
assert_df_equals(df_result, df_answer)
df_result = df1.sum(axis=1)
df_answer = alt.DataFrame({'sum': np.array([14.4, 5.0, 13.1])})
assert_df_equals(df_result, df_answer)
def test_nunique(self):
df_result = df1.nunique()
df_answer = alt.DataFrame({
'a': np.array([3]),
'b': np.array([3]),
'c': np.array([3])
})
assert_df_equals(df_result, df_answer)
df_result = df1['c'].nunique()
df_answer = alt.DataFrame({'c': np.array([3])})
assert_df_equals(df_result, df_answer)
def test_any(self):
df_result = df1.any()
df_answer = alt.DataFrame({
'a': np.array([True]),
'b': np.array([True]),
'c': np.array([True])
})
assert_df_equals(df_result, df_answer)
df_result = df1.any(axis=1)
df_answer = alt.DataFrame({'any': np.array([True, True, True])})
assert_df_equals(df_result, df_answer)
def test_count(self):
df_result = df3.count()
df_answer = alt.DataFrame({
'a': np.array([3]),
'b': np.array([2]),
'c': np.array([2])
})
assert_df_equals(df_result, df_answer)
df_result = df3.count(axis=1)
df_answer = alt.DataFrame({'count': np.array([3, 2, 2])})
assert_df_equals(df_result, df_answer)
def test_std(self):
df_result = df1.std()
df_answer = alt.DataFrame({
'b': np.array([np.nanstd(b1, ddof=1)]),
'c': np.array([np.nanstd(c1, ddof=1)])
})
assert_df_equals(df_result, df_answer)
df_result = df1.std(axis=1)
df_answer = alt.DataFrame(
{'std': np.array([5.37401154, np.nan, 2.05060967])})
assert_df_equals(df_result, df_answer)
def test_input_types(self):
with pytest.raises(TypeError):
alt.DataFrame([1, 2, 3])
with pytest.raises(TypeError):
alt.DataFrame({1: 5, 'b': 10})
with pytest.raises(TypeError):
alt.DataFrame({'a': np.array([1]), 'b': 10})
with pytest.raises(ValueError):
alt.DataFrame({'a': np.array([1]), 'b': np.array([[1]])})
# correct construction. no error
alt.DataFrame({'a': np.array([1]), 'b': np.array([1])})
def test_mul(self):
df_result = df5 * 3
df_answer = alt.DataFrame({'a': a5 * 3, 'b': b5 * 3})
assert_df_equals(df_result, df_answer)
df_result = 3 * df5
assert_df_equals(df_result, df_answer)
def test_add(self):
df_result = df5 + 3
df_answer = alt.DataFrame({'a': a5 + 3, 'b': b5 + 3})
assert_df_equals(df_result, df_answer)
df_result = 3 + df5
assert_df_equals(df_result, df_answer)
def test_min(self):
df_result = df1.min()
df_answer = alt.DataFrame({
'a': np.array(['a'], dtype='O'),
'b': np.array([5]),
'c': np.array([3.4])
})
assert_df_equals(df_result, df_answer)
df_result = df1.min(axis=1)
df_answer = alt.DataFrame({'min': np.array([3.4, 5, 5.1])})
assert_df_equals(df_result, df_answer)
with pytest.raises(ValueError):
df1.min(axis=5)
with pytest.raises(ValueError):
df1.min(axis='1')
def test_argmin(self):
df_result = df1.argmin()
df_answer = alt.DataFrame({
'a': np.array([0]),
'b': np.array([1]),
'c': np.array([0])
})
assert_df_equals(df_result, df_answer)
def test_max(self):
df_result = df1.max()
df_answer = alt.DataFrame({
'a': np.array(['c'], dtype='O'),
'b': np.array([11]),
'c': np.array([5.1])
})
assert_df_equals(df_result, df_answer)
df_result = df1.max(axis=1)
df_answer = alt.DataFrame({'max': np.array([11, 5, 8])})
assert_df_equals(df_result, df_answer)
with pytest.raises(ValueError):
df1.max(axis=5)
with pytest.raises(ValueError):
df1.max(axis='1')
def test_isna(self):
df_result = df3.isna()
df_answer = alt.DataFrame({
'a': np.array([False, False, False]),
'b': np.array([False, False, True]),
'c': np.array([False, True, False])
})
assert_df_equals(df_result, df_answer)
def test_col_slice(self):
df_answer = alt.DataFrame({'a': a, 'b': b, 'c': c})
assert_df_equals(df[:, :3], df_answer)
df_answer = alt.DataFrame({'a': a[::2], 'b': b[::2], 'c': c[::2]})
assert_df_equals(df[::2, :3], df_answer)
df_answer = alt.DataFrame({
'a': a[::2],
'b': b[::2],
'c': c[::2],
'd': d[::2],
'e': e[::2]
})
assert_df_equals(df[::2, :], df_answer)
with pytest.raises(TypeError):
df[:, set()]
def test_tail(self):
df_result = df.tail(2)
df_answer = alt.DataFrame({
'a': a[-2:],
'b': b[-2:],
'c': c[-2:],
'd': d[-2:],
'e': e[-2:]
})
assert_df_equals(df_result, df_answer)
def test_head(self):
df_result = df.head(2)
df_answer = alt.DataFrame({
'a': a[:2],
'b': b[:2],
'c': c[:2],
'd': d[:2],
'e': e[:2]
})
assert_df_equals(df_result, df_answer)
def test_list_columns(self):
df_answer = alt.DataFrame({'c': c, 'e': e})
assert_df_equals(df[:, [2, 4]], df_answer)
assert_df_equals(df[:, [2, 'e']], df_answer)
assert_df_equals(df[:, ['c', 'e']], df_answer)
df_result = df[2, ['a', 'e']]
df_answer = alt.DataFrame({'a': a[[2]], 'e': e[[2]]})
assert_df_equals(df_result, df_answer)
df_answer = alt.DataFrame({'c': c[[1, 2]], 'e': e[[1, 2]]})
assert_df_equals(df[[1, 2], ['c', 'e']], df_answer)
df1 = alt.DataFrame({
'a': np.array([True, False, True]),
'b': np.array([1, 3, 5])
})
df_answer = alt.DataFrame({'c': c[[0, 2]], 'e': e[[0, 2]]})
assert_df_equals(df[df1['a'], ['c', 'e']], df_answer)
def test_rename(self):
df_result = df.rename({'a': 'A', 'c': 'C'})
df_answer = alt.DataFrame({'A': a, 'b': b, 'C': c, 'd': d, 'e': e})
assert_df_equals(df_result, df_answer)
with pytest.raises(ValueError):
df.rename({'w': 'A', 'c': 'C'})
with pytest.raises(TypeError):
df.rename({'a': 'A', 'c': 1})
def test_simple_boolean(self):
bool_arr = np.array([True, False, False])
df_bool = alt.DataFrame({'col': bool_arr})
df_result = df[df_bool]
df_answer = alt.DataFrame({
'a': a[bool_arr],
'b': b[bool_arr],
'c': c[bool_arr],
'd': d[bool_arr],
'e': e[bool_arr]
})
assert_df_equals(df_result, df_answer)
with pytest.raises(ValueError):
df_bool = alt.DataFrame({'col': bool_arr, 'col2': bool_arr})
df[df_bool]
with pytest.raises(TypeError):
df_bool = alt.DataFrame({'col': np.array([1, 2, 3])})
df[df_bool]
def test_all_row_selections(self):
df1 = alt.DataFrame({
'a': np.array([True, False, True]),
'b': np.array([1, 3, 5])
})
with pytest.raises(ValueError):
df[df1, 'e']
with pytest.raises(TypeError):
df[df1['b'], 'c']
df_result = df[df1['a'], 'c']
df_answer = alt.DataFrame({'c': c[[True, False, True]]})
assert_df_equals(df_result, df_answer)
df_result = df[[1, 2], 0]
df_answer = alt.DataFrame({'a': a[[1, 2]]})
assert_df_equals(df_result, df_answer)
df_result = df[1:, 0]
assert_df_equals(df_result, df_answer)
def test_sample(self):
df_result = df3.sample(2, seed=1)
df_answer = alt.DataFrame({
'a': np.array(['a', 'c'], dtype=object),
'b': np.array(['c', None]),
'c': np.array([3.4, 5.1])
})
assert_df_equals(df_result, df_answer)
df_result = df3.sample(frac=.7, seed=1)
df_answer = alt.DataFrame({
'a': np.array(['a', 'c', 'b'], dtype=object),
'b': np.array(['c', None, 'd']),
'c': np.array([3.4, 5.1, np.nan])
})
assert_df_equals(df_result, df_answer)
with pytest.raises(TypeError):
df.sample(2.5)
with pytest.raises(ValueError):
df.sample(frac=-2)
def test_dtypes(self):
cols = np.array(['a', 'b', 'c', 'd', 'e'], dtype='O')
dtypes = np.array([
str(a.astype('O').dtype),
str(b.dtype),
str(c.dtype),
str(d.dtype),
str(e.dtype)
],
dtype='O')
df_answer = alt.DataFrame({'Column Name': cols, 'Data Type': dtypes})
df_result = df.dtypes
assert_df_equals(df_result, df_answer)
def test_array_length(self):
with pytest.raises(ValueError):
alt.DataFrame({'a': np.array([1, 2]), 'b': np.array([1])})
# correct construction. no error
alt.DataFrame({'a': np.array([1, 2]), 'b': np.array([5, 10])})
