39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
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import pytest
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import numpy as np
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import pandas as pd
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import pandas.util.testing as tm
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@pytest.fixture
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def sparse_df():
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return pd.SparseDataFrame({0: {0: 1}, 1: {1: 1}, 2: {2: 1}}) # eye
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@pytest.fixture
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def multi_index3():
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return pd.MultiIndex.from_tuples([(0, 0), (1, 1), (2, 2)])
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def test_sparse_frame_stack(sparse_df, multi_index3):
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ss = sparse_df.stack()
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expected = pd.SparseSeries(np.ones(3), index=multi_index3)
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tm.assert_sp_series_equal(ss, expected)
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def test_sparse_frame_unstack(sparse_df):
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mi = pd.MultiIndex.from_tuples([(0, 0), (1, 0), (1, 2)])
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sparse_df.index = mi
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arr = np.array([[1, np.nan, np.nan],
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[np.nan, 1, np.nan],
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[np.nan, np.nan, 1]])
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unstacked_df = pd.DataFrame(arr, index=mi).unstack()
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unstacked_sdf = sparse_df.unstack()
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tm.assert_numpy_array_equal(unstacked_df.values, unstacked_sdf.values)
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def test_sparse_series_unstack(sparse_df, multi_index3):
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frame = pd.SparseSeries(np.ones(3), index=multi_index3).unstack()
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tm.assert_sp_frame_equal(frame, sparse_df)
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