def test_from_pandas_data_frame(vectors_c):
mat, cols, rows = vectors_c.to_sparse_matrix()
df = DataFrame(mat.A, index=rows, columns=cols)
v = Vectors.from_pandas_df(df)
mat1, cols1, rows1 = vectors_c.to_sparse_matrix()
assert rows == rows1
assert cols == cols1
np.testing.assert_almost_equal(mat.A, mat1.A)
vectors_c.init_sims()
v.init_sims()
for entry in vectors_c.keys():
np.testing.assert_almost_equal(vectors_c.get_vector(entry).A,
v.get_vector(entry).A)
n1 = [x[0] for x in vectors_c.get_nearest_neighbours(entry)]
n2 = [x[0] for x in v.get_nearest_neighbours(entry)]
print(entry, n1, n2)
assert n1 == n2
