def test_HDF5Exporter_unequal_lengths(tmp_h5):
# Test export with multiple curves of different size. The exporter should
# detect this and create multiple hdf5 datasets under a group.
x1 = np.linspace(0, 1, 10)
y1 = np.sin(x1)
x2 = np.linspace(0, 1, 100)
y2 = np.cos(x2)
plt = pg.plot()
plt.plot(x=x1, y=y1, name='plot0')
plt.plot(x=x2, y=y2)
ex = HDF5Exporter(plt.plotItem)
ex.export(fileName=tmp_h5)
with h5py.File(tmp_h5, 'r') as f:
# should be a group with the name of the exporter
group = f[ex.parameters()['Name']]
assert isinstance(group, h5py.Group)
# should be a dataset under the group with the name of the PlotItem
assert_equal(np.array([x1, y1]), group['plot0'])
# should be a dataset under the group with a default name that's the
# index of the curve in the PlotItem
assert_equal(np.array([x2, y2]), group['1'])
def test_HDF5Exporter(tmp_h5, combine):
# Basic test of functionality: multiple curves with shared x array. Tests
# both options for stacking the data (columnMode).
x = np.linspace(0, 1, 100)
y1 = np.sin(x)
y2 = np.cos(x)
plt = pg.plot()
plt.plot(x=x, y=y1)
plt.plot(x=x, y=y2)
ex = HDF5Exporter(plt.plotItem)
if combine:
ex.parameters()['columnMode'] = '(x,y,y,y) for all plots'
ex.export(fileName=tmp_h5)
with h5py.File(tmp_h5, 'r') as f:
# should be a single dataset with the name of the exporter
dset = f[ex.parameters()['Name']]
assert isinstance(dset, h5py.Dataset)
if combine:
assert_equal(np.array([x, y1, y2]), dset)
else:
assert_equal(np.array([x, y1, x, y2]), dset)