This repository was archived by the owner on Sep 23, 2024. It is now read-only.
This repository was archived by the owner on Sep 23, 2024. It is now read-only.
Error inferring datetime when data has no geometry #5
Description
I use stac-table to generate metadata for geospatial datasets, but once in a while I need to manage parquet files without a geometry column. This works fine with stac-table by setting proj=False, unless I also need to infer datetime information, in which case the generation fails.
Sample code to reproduce the issue:
import datetime
import pandas as pd
import pystac
import stac_table
# Create a sample DataFrame
data = {
'time': pd.date_range(start='2022-01-01', periods=5, freq='H'),
'value1': [1, 2, 3, 4, 5],
'value2': [10, 20, 30, 40, 50],
}
df = pd.DataFrame(data)
# Save DataFrame to Parquet
df.to_parquet('sample.parquet')
# Item template
template = pystac.Item(
"test",
geometry=None,
bbox=None,
datetime=datetime.datetime.now(datetime.timezone.utc),
properties={},
)
# Create a STAC Table
stac_table.generate(
'sample.parquet',
template,
proj=False,
infer_datetime=stac_table.InferDatetimeOptions.range,
datetime_column='time',
)
When running I get this error:
ValueError: An error occurred while calling the read_parquet method registered to the pandas backend.
Original Message: Missing geo metadata in Parquet/Feather file.
Use pandas.read_parquet/read_feather() instead.