What is the change in net revenues from FEI-NY between 2018 and 2019?
{"Net revenues: -- FEI-NY": {"2019": 38096, "2018": 26936}, "Net revenues: -- FEI-Zyfer": {"2019": 12235, "2018": 15272}, "Net revenues: -- Less intersegment revenues": {"2019": -822, "2018": -2801}, "Net revenues: -- Consolidated revenues": {"2019": 49509, "2018": 39407}, "Operating loss: -- FEI-NY": {"2019": -4429, "2018": -15097}, "Operating loss: -- FEI-Zyfer": {"2019": 1730, "2018": 3164}, "Operating loss: -- Corporate": {"2019": -118, "2018": -462}, "Operating loss: -- Consolidated operating loss": {"2019": -2817, "2018": -12395}, "Operating loss: -- ": {"2019": 2019, "2018": 2018}, "Identifiable assets: -- FEI-NY (approximately $1.5 in China in 2019)": {"2019": 54295, "2018": 55181}, "Identifiable assets: -- FEI-Zyfer": {"2019": 10478, "2018": 8168}, "Identifiable assets: -- less intersegment receivables": {"2019": -8346, "2018": -11888}, "Identifiable assets: -- Corporate": {"2019": 30344, "2018": 32123}, "Identifiable assets: -- Consolidated identifiable assets": {"2019": 86771, "2018": 83584}, "Depreciation and amortization (allocated): -- FEI-NY": {"2019": 2695, "2018": 2355}, "Depreciation and amortization (allocated): -- FEI-Zyfer": {"2019": 92, "2018": 114}, "Depreciation and amortization (allocated): -- Corporate": {"2019": 15, "2018": 15}, "Depreciation and amortization (allocated): -- Consolidated depreciation and amortization expense": {"2019": 2802, "2018": 2484}}
net_revenues_2019 = df["Net revenues: -- FEI-NY"]["2019"]
net_revenues_2018 = df["Net revenues: -- FEI-NY"]["2018"]
answer = net_revenues_2019 - net_revenues_2018