jiayuasu opened a new issue, #3189:
URL: https://github.com/apache/sedona/issues/3189
## Expected behavior
Distributed `GeoSeries` and `GeoDataFrame` objects should preserve explicitly
assigned CRS metadata when their geometry rows are empty, all null, or carry
SRID 0.
Explicit `set_crs` values should take precedence over inherited lineage
metadata. Copies, GeoPandas conversion, and construction from an existing
geometry column should retain that metadata, while switching to a different
active geometry column must not leak the previous column's CRS.
## Actual behavior
Sedona normally derives CRS from the SRID stored in geometry rows. Empty and
all-null results have no non-null geometry from which to recover that SRID,
so
CRS can be lost after construction, copy, conversion, or a distributed
operation that removes every row.
The same fallback mechanism is currently being introduced independently by
#3183, #3184, and #3185. Keeping it in those feature PRs duplicates shared
state-management code and creates avoidable merge conflicts.
## Steps to reproduce the problem
```python
from sedona.spark.geopandas import GeoDataFrame, GeoSeries
series = GeoSeries([None], name="shape", crs="EPSG:4326")
frame = GeoDataFrame({"value": [1]}).set_geometry(series)
assert series.crs == "EPSG:4326"
assert frame.crs == "EPSG:4326"
assert frame.copy().crs == "EPSG:4326"
assert frame.to_geopandas().crs == "EPSG:4326"
```
The shared implementation should also cover zero-row derived results,
duplicate-index construction, explicit CRS removal or replacement, deep
`GeoSeries` copies, and active-geometry switches.
## Settings
Sedona version = 1.9.1-SNAPSHOT
Apache Spark version = 3.4+
API type = Python GeoPandas API
Python version = 3.8+
Environment = Standalone
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