Python TimeSeriesDataset.np_like_lastn 예제들

예제 #1

파일: test_time_dataset.py 프로젝트: chrinide/pyseries

def test_to_empty():
    '''Valid empty creation test'''

    idx1 = np.array([], dtype='d')
    data1 = np.array([], dtype='d')
    
    ts1 = TimeSeries(idx1, data1)
    ts2 = TimeSeries(idx1.copy(), data1.copy())

    dataset = TimeSeriesDataset(np.asarray([ts1, ts2]))

    X = dataset.np_like_firstn()
    assert_array_equal(X, [[], []])
    
    X = dataset.np_like_lastn()
    assert_array_equal(X, [[], []])

예제 #2

파일: test_time_dataset.py 프로젝트: nubiofs/pyseries

def test_to_empty():
    '''Valid empty creation test'''

    idx1 = np.array([], dtype='d')
    data1 = np.array([], dtype='d')

    ts1 = TimeSeries(idx1, data1)
    ts2 = TimeSeries(idx1.copy(), data1.copy())

    dataset = TimeSeriesDataset(np.asarray([ts1, ts2]))

    X = dataset.np_like_firstn()
    assert_array_equal(X, [[], []])

    X = dataset.np_like_lastn()
    assert_array_equal(X, [[], []])

예제 #3

파일: test_time_dataset.py 프로젝트: chrinide/pyseries

def test_to_numpy():
    '''Valid creation test'''

    idx1 = np.array([0, 1, 2, 3, 4], dtype='d')
    data1 = np.array([1.0, 2, 3, 4, 5], dtype='d')
    
    ts1 = TimeSeries(idx1, data1)

    idx2 = np.array([0, 1, 2, 3, 4, 5], dtype='d')
    data2 = np.array([1.0, 2, 3, 4, 8, 6], dtype='d')

    ts2 = TimeSeries(idx2, data2)

    dataset = TimeSeriesDataset(np.asarray([ts1, ts2]))

    X = dataset.np_like_firstn()
    assert_array_equal(X, [[1.0, 2, 3, 4, 5], [1.0, 2, 3, 4, 8]])
    
    X = dataset.np_like_lastn()
    assert_array_equal(X, [[1.0, 2, 3, 4, 5], [2, 3, 4, 8, 6]])

예제 #4

파일: test_time_dataset.py 프로젝트: nubiofs/pyseries

def test_to_numpy():
    '''Valid creation test'''

    idx1 = np.array([0, 1, 2, 3, 4], dtype='d')
    data1 = np.array([1.0, 2, 3, 4, 5], dtype='d')

    ts1 = TimeSeries(idx1, data1)

    idx2 = np.array([0, 1, 2, 3, 4, 5], dtype='d')
    data2 = np.array([1.0, 2, 3, 4, 8, 6], dtype='d')

    ts2 = TimeSeries(idx2, data2)

    dataset = TimeSeriesDataset(np.asarray([ts1, ts2]))

    X = dataset.np_like_firstn()
    assert_array_equal(X, [[1.0, 2, 3, 4, 5], [1.0, 2, 3, 4, 8]])

    X = dataset.np_like_lastn()
    assert_array_equal(X, [[1.0, 2, 3, 4, 5], [2, 3, 4, 8, 6]])