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test_loc.py
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from warnings import catch_warnings
import numpy as np
import pytest
from pandas import DataFrame, MultiIndex, Series
from pandas.util import testing as tm
@pytest.mark.filterwarnings("ignore:\\n.ix:DeprecationWarning")
class TestMultiIndexLoc(object):
def test_loc_getitem_series(self):
# GH14730
# passing a series as a key with a MultiIndex
index = MultiIndex.from_product([[1, 2, 3], ['A', 'B', 'C']])
x = Series(index=index, data=range(9), dtype=np.float64)
y = Series([1, 3])
expected = Series(
data=[0, 1, 2, 6, 7, 8],
index=MultiIndex.from_product([[1, 3], ['A', 'B', 'C']]),
dtype=np.float64)
result = x.loc[y]
tm.assert_series_equal(result, expected)
result = x.loc[[1, 3]]
tm.assert_series_equal(result, expected)
# GH15424
y1 = Series([1, 3], index=[1, 2])
result = x.loc[y1]
tm.assert_series_equal(result, expected)
empty = Series(data=[], dtype=np.float64)
expected = Series([], index=MultiIndex(
levels=index.levels, labels=[[], []], dtype=np.float64))
result = x.loc[empty]
tm.assert_series_equal(result, expected)
def test_loc_getitem_array(self):
# GH15434
# passing an array as a key with a MultiIndex
index = MultiIndex.from_product([[1, 2, 3], ['A', 'B', 'C']])
x = Series(index=index, data=range(9), dtype=np.float64)
y = np.array([1, 3])
expected = Series(
data=[0, 1, 2, 6, 7, 8],
index=MultiIndex.from_product([[1, 3], ['A', 'B', 'C']]),
dtype=np.float64)
result = x.loc[y]
tm.assert_series_equal(result, expected)
# empty array:
empty = np.array([])
expected = Series([], index=MultiIndex(
levels=index.levels, labels=[[], []], dtype=np.float64))
result = x.loc[empty]
tm.assert_series_equal(result, expected)
# 0-dim array (scalar):
scalar = np.int64(1)
expected = Series(
data=[0, 1, 2],
index=['A', 'B', 'C'],
dtype=np.float64)
result = x.loc[scalar]
tm.assert_series_equal(result, expected)
def test_loc_multiindex(self):
mi_labels = DataFrame(np.random.randn(3, 3),
columns=[['i', 'i', 'j'], ['A', 'A', 'B']],
index=[['i', 'i', 'j'], ['X', 'X', 'Y']])
mi_int = DataFrame(np.random.randn(3, 3),
columns=[[2, 2, 4], [6, 8, 10]],
index=[[4, 4, 8], [8, 10, 12]])
# the first row
rs = mi_labels.loc['i']
with catch_warnings(record=True):
xp = mi_labels.ix['i']
tm.assert_frame_equal(rs, xp)
# 2nd (last) columns
rs = mi_labels.loc[:, 'j']
with catch_warnings(record=True):
xp = mi_labels.ix[:, 'j']
tm.assert_frame_equal(rs, xp)
# corner column
rs = mi_labels.loc['j'].loc[:, 'j']
with catch_warnings(record=True):
xp = mi_labels.ix['j'].ix[:, 'j']
tm.assert_frame_equal(rs, xp)
# with a tuple
rs = mi_labels.loc[('i', 'X')]
with catch_warnings(record=True):
xp = mi_labels.ix[('i', 'X')]
tm.assert_frame_equal(rs, xp)
rs = mi_int.loc[4]
with catch_warnings(record=True):
xp = mi_int.ix[4]
tm.assert_frame_equal(rs, xp)
# missing label
pytest.raises(KeyError, lambda: mi_int.loc[2])
with catch_warnings(record=True):
# GH 21593
pytest.raises(KeyError, lambda: mi_int.ix[2])
def test_loc_multiindex_indexer_none(self):
# GH6788
# multi-index indexer is None (meaning take all)
attributes = ['Attribute' + str(i) for i in range(1)]
attribute_values = ['Value' + str(i) for i in range(5)]
index = MultiIndex.from_product([attributes, attribute_values])
df = 0.1 * np.random.randn(10, 1 * 5) + 0.5
df = DataFrame(df, columns=index)
result = df[attributes]
tm.assert_frame_equal(result, df)
# GH 7349
# loc with a multi-index seems to be doing fallback
df = DataFrame(np.arange(12).reshape(-1, 1),
index=MultiIndex.from_product([[1, 2, 3, 4],
[1, 2, 3]]))
expected = df.loc[([1, 2], ), :]
result = df.loc[[1, 2]]
tm.assert_frame_equal(result, expected)
def test_loc_multiindex_incomplete(self):
# GH 7399
# incomplete indexers
s = Series(np.arange(15, dtype='int64'),
MultiIndex.from_product([range(5), ['a', 'b', 'c']]))
expected = s.loc[:, 'a':'c']
result = s.loc[0:4, 'a':'c']
tm.assert_series_equal(result, expected)
tm.assert_series_equal(result, expected)
result = s.loc[:4, 'a':'c']
tm.assert_series_equal(result, expected)
tm.assert_series_equal(result, expected)
result = s.loc[0:, 'a':'c']
tm.assert_series_equal(result, expected)
tm.assert_series_equal(result, expected)
# GH 7400
# multiindexer gettitem with list of indexers skips wrong element
s = Series(np.arange(15, dtype='int64'),
MultiIndex.from_product([range(5), ['a', 'b', 'c']]))
expected = s.iloc[[6, 7, 8, 12, 13, 14]]
result = s.loc[2:4:2, 'a':'c']
tm.assert_series_equal(result, expected)