How to use the sentinelsat.SentinelAPI.to_dataframe function in sentinelsat

def test_to_pandas_empty(products):
    df = SentinelAPI.to_dataframe({})
    assert type(df).__name__ == 'DataFrame'
    assert len(df) == 0

def test_missing_dependency_dataframe(monkeypatch):
    with pytest.raises(ImportError):
        monkeypatch.setitem(sys.modules, "pandas", None)
        SentinelAPI.to_dataframe({"test": "test"})

def test_to_pandas(products):
    df = SentinelAPI.to_dataframe(products)
    assert type(df).__name__ == "DataFrame"
    assert len(products) == len(df)
    assert set(products) == set(df.index)

def test_to_pandas(products):
    df = SentinelAPI.to_dataframe(products)
    assert type(df).__name__ == 'DataFrame'
    assert len(products) == len(df)
    assert set(products) == set(df.index)

def test_to_pandas_empty():
    df = SentinelAPI.to_dataframe({})
    assert type(df).__name__ == "DataFrame"
    assert len(df) == 0