def small_intensity_table():
intensities = np.array([[[0, 1], [1, 0]], [[1, 0], [0, 1]], [[0, 0],
[1, 1]]])
spot_attributes = dataframe_to_multiindex(
pd.DataFrame(
data={
IntensityTable.SpotAttributes.X: [0, 1, 2],
IntensityTable.SpotAttributes.Y: [3, 4, 5],
IntensityTable.SpotAttributes.Z: [0, 0, 0],
IntensityTable.SpotAttributes.RADIUS: [0.1, 0.2, 0.3]
}))
return IntensityTable.from_spot_data(intensities, spot_attributes)
def small_intensity_table():
intensities = np.array([
[[0, 1], [1, 0]],
[[1, 0], [0, 1]],
[[0, 0], [1, 1]],
[
[0.5, 0.5], # this one should fail decoding
[0.5, 0.5]
],
[[0.1, 0], [0,
0.1]], # this one is a candidate for intensity filtering
])
spot_attributes = pd.DataFrame(
data={
Indices.X.value: [0, 1, 2, 3, 4],
Indices.Y.value: [3, 4, 5, 6, 7],
Indices.Z.value: [0, 0, 0, 0, 0],
Features.SPOT_RADIUS: [0.1, 2, 3, 2, 1]
})
return IntensityTable.from_spot_data(intensities, spot_attributes)