Load a Parquet object from the file path, returning a GeoDataFrame.
You can read a subset of columns in the file using the columns parameter.
However, the structure of the returned GeoDataFrame will depend on which
columns you read:
if no geometry columns are read, this will raise a ValueError - you
should use the pandas read_parquet method instead.
if the primary geometry column saved to this file is not included in
columns, the first available geometry column will be set as the geometry
column of the returned GeoDataFrame.
New in version 0.8.
If not None, only these columns will be read from the file. If
the primary geometry column is not included, the first secondary
geometry read from the file will be set as the geometry column
of the returned GeoDataFrame. If no geometry columns are present,
a ValueError will be raised.
Any additional kwargs passed to pyarrow.parquet.read_table().
>>> df = geopandas.read_parquet("data.parquet")
Specifying columns to read:
>>> df = geopandas.read_parquet(
... columns=["geometry", "pop_est"]