temporian.to_polars #
to_polars(
evset: EventSet,
tp_string_to_pl_string: bool = True,
timestamp_to_datetime: bool = True,
timestamps: bool = True,
) -> pl.DataFrame
Converts an EventSet
to a Polars DataFrame.
Usage example
>>> from datetime import datetime
>>> evset = tp.event_set(
... timestamps=[datetime(2015, 1, 1), datetime(2015, 1, 2)],
... features={
... "feature_1": [0.5, 0.6],
... "my_index": ["red", "yellow"],
... },
... indexes=["my_index"],
... )
>>> df = tp.to_polars(evset)
Parameters:
Name | Type | Description | Default |
---|---|---|---|
evset |
EventSet
|
Input EventSet. |
required |
timestamp_to_datetime |
bool
|
If true, convert epoch timestamps to Polars Date objects. |
True
|
timestamps |
bool
|
If true, include the timestamps as a column in the DataFrame. |
True
|
tp_string_to_pl_string |
bool
|
If true, cast Temporian strings to Polars Object. |
True
|
Returns:
Type | Description |
---|---|
DataFrame
|
A Polars DataFrame created from the EventSet. |