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- import numpy as np
- import pytest
- import pandas as pd
- import pandas.util.testing as tm
- @pytest.fixture
- def sparse_df():
- return pd.SparseDataFrame({0: {0: 1}, 1: {1: 1}, 2: {2: 1}}) # eye
- @pytest.fixture
- def multi_index3():
- return pd.MultiIndex.from_tuples([(0, 0), (1, 1), (2, 2)])
- def test_sparse_frame_stack(sparse_df, multi_index3):
- ss = sparse_df.stack()
- expected = pd.SparseSeries(np.ones(3), index=multi_index3)
- tm.assert_sp_series_equal(ss, expected)
- def test_sparse_frame_unstack(sparse_df):
- mi = pd.MultiIndex.from_tuples([(0, 0), (1, 0), (1, 2)])
- sparse_df.index = mi
- arr = np.array([[1, np.nan, np.nan],
- [np.nan, 1, np.nan],
- [np.nan, np.nan, 1]])
- unstacked_df = pd.DataFrame(arr, index=mi).unstack()
- unstacked_sdf = sparse_df.unstack()
- tm.assert_numpy_array_equal(unstacked_df.values, unstacked_sdf.values)
- def test_sparse_series_unstack(sparse_df, multi_index3):
- frame = pd.SparseSeries(np.ones(3), index=multi_index3).unstack()
- arr = np.array([1, np.nan, np.nan])
- arrays = {i: pd.SparseArray(np.roll(arr, i)) for i in range(3)}
- expected = pd.DataFrame(arrays)
- tm.assert_frame_equal(frame, expected)
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