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7 changes: 5 additions & 2 deletions sparsity/sparse_frame.py
Original file line number Diff line number Diff line change
Expand Up @@ -789,7 +789,7 @@ def drop_duplicate_idx(self, **kwargs):

Returns
-------
dropeed: SparseFrame
dropped: SparseFrame
"""
mask = ~self.index.duplicated(**kwargs)
return SparseFrame(self.data[mask], index=self.index.values[mask],
Expand All @@ -798,7 +798,10 @@ def drop_duplicate_idx(self, **kwargs):
def __getitem__(self, item):
if item is None:
raise ValueError('Cannot label index with a null key.')
if not isinstance(item, (tuple, list)):
if not isinstance(item, (pd.Series, np.ndarray, pd.Index, list,
tuple)):
# TODO: tuple probably should be a separate case as in Pandas
# where it is used with Multiindex
item = [item]
if len(item) > 0:
return self.reindex_axis(item, axis=1)
Expand Down
9 changes: 9 additions & 0 deletions sparsity/test/test_sparse_frame.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@

import numpy as np
import pandas as pd
import pandas.testing as pdt
import pytest
from moto import mock_s3
from scipy import sparse
Expand Down Expand Up @@ -575,6 +576,7 @@ def test_npz_io_s3(complex_example):
def test_getitem():
id_ = np.identity(10)
sf = SparseFrame(id_, columns=list('abcdefghij'))

assert sf['a'].data.todense()[0] == 1
assert sf['j'].data.todense()[9] == 1
assert np.all(sf[['a', 'b']].data.todense() == np.asmatrix(id_[:, [0, 1]]))
Expand All @@ -588,6 +590,13 @@ def test_getitem():
with pytest.raises(ValueError):
sf[None]

idx = pd.Index(list('abc'))
pdt.assert_index_equal(idx, sf[idx].columns)
pdt.assert_index_equal(idx, sf[idx.to_series()].columns)
pdt.assert_index_equal(idx, sf[idx.tolist()].columns)
pdt.assert_index_equal(idx, sf[tuple(idx)].columns)
pdt.assert_index_equal(idx, sf[idx.values].columns)


def test_vstack():
frames = []
Expand Down