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improvement_surcharge;\n  optional double field_id=-1 total_amount;\n  optional double field_id=-1 congestion_surcharge;\n  optional int32 field_id=-1 airport_fee (Null);\n}\n"},"kv_metadata":[["ARROW:schema",{"$cut":{"chars":5024,"head":""}}],["pandas","{\"index_columns\": [], \"column_indexes\": [], \"columns\": [{\"name\": \"VendorID\", \"field_name\": \"VendorID\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": \"tpep_pickup_datetime\", \"field_name\": \"tpep_pickup_datetime\", \"pandas_type\": \"datetime\", \"numpy_type\": \"datetime64[ns]\", \"metadata\": null}, {\"name\": \"tpep_dropoff_datetime\", \"field_name\": \"tpep_dropoff_datetime\", \"pandas_type\": \"datetime\", \"numpy_type\": \"datetime64[ns]\", \"metadata\": null}, {\"name\": \"passenger_count\", \"field_name\": \"passenger_count\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"trip_distance\", \"field_name\": \"trip_distance\", 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\"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"mta_tax\", \"field_name\": \"mta_tax\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"tip_amount\", \"field_name\": \"tip_amount\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"tolls_amount\", \"field_name\": \"tolls_amount\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"improvement_surcharge\", \"field_name\": \"improvement_surcharge\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"total_amount\", \"field_name\": \"total_amount\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"congestion_surcharge\", \"field_name\": \"congestion_surcharge\", \"pandas_type\": \"float64\", \"numpy_type\": \"float64\", \"metadata\": null}, {\"name\": \"airport_fee\", \"field_name\": 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[2,"2019-07-01T00:19:37.000000","2019-07-01T00:30:56.000000",1.0,3.59,1.0,"N",48,236,1,12.5,0.5,0.5,2.0,0.0,0.3,18.3,2.5,null]
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[2,"2019-07-01T00:47:51.000000","2019-07-01T01:02:33.000000",1.0,4.02,1.0,"N",107,262,1,15.5,0.5,0.5,3.86,0.0,0.3,23.16,2.5,null]
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[2,"2019-07-01T00:06:31.000000","2019-07-01T00:40:04.000000",1.0,7.58,1.0,"N",48,80,1,27.5,0.5,0.5,6.26,0.0,0.3,37.56,2.5,null]
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[2,"2019-07-01T00:04:34.000000","2019-07-01T00:26:54.000000",1.0,5.78,1.0,"N",230,42,1,20.5,0.5,0.5,4.0,0.0,0.3,28.3,2.5,null]
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[2,"2019-07-31T14:52:18.000000","2019-07-31T15:43:09.000000",null,11.83,null,null,26,137,0,28.85,2.75,0.0,0.0,6.12,0.3,38.02,null,null]
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[2,"2019-07-31T14:02:00.000000","2019-07-31T14:36:00.000000",null,8.62,null,null,137,95,0,28.08,2.75,0.5,0.0,6.12,0.3,37.75,null,null]
[2,"2019-07-31T14:30:45.000000","2019-07-31T15:20:12.000000",null,9.28,null,null,107,69,0,32.54,2.75,0.0,0.0,0.0,0.3,35.59,null,null]
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[2,"2019-07-31T15:42:35.000000","2019-07-31T16:32:29.000000",null,12.71,null,null,140,185,0,48.13,2.75,0.0,0.0,6.12,0.3,57.3,null,null]
[2,"2019-07-31T15:30:00.000000","2019-07-31T16:00:00.000000",null,2.93,null,null,237,90,0,19.73,2.75,0.5,0.0,0.0,0.3,23.28,null,null]
[2,"2019-07-31T15:19:29.000000","2019-07-31T15:41:42.000000",null,3.86,null,null,161,7,0,22.58,2.75,0.0,0.0,0.0,0.3,25.63,null,null]
[2,"2019-07-31T15:36:36.000000","2019-07-31T16:30:44.000000",null,6.37,null,null,113,74,0,29.26,2.75,0.0,0.0,0.0,0.3,32.31,null,null]
[2,"2019-07-31T15:27:00.000000","2019-07-31T16:16:00.000000",null,7.37,null,null,236,213,0,28.53,2.75,0.5,0.0,0.0,0.3,32.08,null,null]
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