NycTlcGreen Class
Represents the NYC Taxi & Limousine Commission green taxi trip public dataset.
The green taxi trip records include fields capturing pick-up and drop-off dates/times, pick-up and drop-off locations, trip distances, itemized fares, rate types, payment types, and driver-reported passenger counts. For more information about this dataset, including column descriptions, different ways to access the dataset, and examples, see NYC Taxi & Limousine Commission - green taxi trip records in the Microsoft Azure Open Datasets catalog.
For an example of using the NycTlcGreen class, see the tutorial Use automated machine learning to predict taxi fares.
Initialize filtering fields.
- Inheritance
-
azureml.opendatasets._nyc_taxi_base.NycTaxiBaseNycTlcGreen
Constructor
NycTlcGreen(start_date: datetime = datetime.datetime(2015, 1, 1, 0, 0), end_date: datetime = datetime.datetime(2024, 10, 18, 0, 0), cols: List[str] | None = None, limit: int | None = -1, enable_telemetry: bool = True)
Parameters
Name | Description |
---|---|
start_date
|
The date at which to start loading data, inclusive. If None, the Default value: 2015-01-01 00:00:00
|
end_date
|
The date at which to end loading data, inclusive. If None, the Default value: 2024-10-18 00:00:00
|
cols
|
A list of columns names to load from the dataset. If None, all columns are loaded. For information on the available columns in this dataset, see NYC Taxi & Limousine Commission - green taxi trip records. Default value: None
|
limit
|
A value indicating the number of days of data to load with Default value: -1
|
enable_telemetry
|
Whether to enable telemetry on this dataset. Default value: True
|
start_date
Required
|
The start date you'd like to query inclusively. |
end_date
Required
|
The end date you'd like to query inclusively. |
cols
Required
|
A list of column names you'd like to retrieve. None will get all columns. |
limit
Required
|
to_pandas_dataframe() will load only "limit" months of data. -1 means no limit. |
enable_telemetry
Required
|
Indicates whether to send telemetry. |
Remarks
The example below shows how to access the dataset.
from azureml.opendatasets import NycTlcGreen
from dateutil import parser
end_date = parser.parse('2018-06-06')
start_date = parser.parse('2018-05-01')
nyc_tlc = NycTlcGreen(start_date=start_date, end_date=end_date)
nyc_tlc_df = nyc_tlc.to_pandas_dataframe()