mvaaltola opened a new issue, #1572:
URL: https://github.com/apache/sedona/issues/1572
## Expected behavior
Running `import pandas as pd` inside `apache/sedona:1.6.1` Jupyter notebook
environment should succeed.
## Actual behavior
Import fails, apparently due to `numpy` and `pandas` versions being
incompatible.
```
import pandas as pd
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[2], line 1
----> 1 import pandas as pd
File /usr/local/lib/python3.10/dist-packages/pandas/__init__.py:22
19 del _hard_dependencies, _dependency, _missing_dependencies
21 # numpy compat
---> 22 from pandas.compat import is_numpy_dev as _is_numpy_dev # pyright:
ignore # noqa:F401
24 try:
25 from pandas._libs import hashtable as _hashtable, lib as _lib,
tslib as _tslib
File /usr/local/lib/python3.10/dist-packages/pandas/compat/__init__.py:18
15 from typing import TYPE_CHECKING
17 from pandas._typing import F
---> 18 from pandas.compat.numpy import (
19 is_numpy_dev,
20 np_version_under1p21,
21 )
22 from pandas.compat.pyarrow import (
23 pa_version_under1p01,
24 pa_version_under2p0,
(...)
31 pa_version_under9p0,
32 )
34 if TYPE_CHECKING:
File
/usr/local/lib/python3.10/dist-packages/pandas/compat/numpy/__init__.py:4
1 """ support numpy compatibility across versions """
2 import numpy as np
----> 4 from pandas.util.version import Version
6 # numpy versioning
7 _np_version = np.__version__
File /usr/local/lib/python3.10/dist-packages/pandas/util/__init__.py:2
1 # pyright: reportUnusedImport = false
----> 2 from pandas.util._decorators import ( # noqa:F401
3 Appender,
4 Substitution,
5 cache_readonly,
6 )
8 from pandas.core.util.hashing import ( # noqa:F401
9 hash_array,
10 hash_pandas_object,
11 )
14 def __getattr__(name):
File /usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py:14
6 from typing import (
7 Any,
8 Callable,
9 Mapping,
10 cast,
11 )
12 import warnings
---> 14 from pandas._libs.properties import cache_readonly
15 from pandas._typing import (
16 F,
17 T,
18 )
19 from pandas.util._exceptions import find_stack_level
File /usr/local/lib/python3.10/dist-packages/pandas/_libs/__init__.py:13
1 __all__ = [
2 "NaT",
3 "NaTType",
(...)
9 "Interval",
10 ]
---> 13 from pandas._libs.interval import Interval
14 from pandas._libs.tslibs import (
15 NaT,
16 NaTType,
(...)
21 iNaT,
22 )
File /usr/local/lib/python3.10/dist-packages/pandas/_libs/interval.pyx:1, in
init pandas._libs.interval()
ValueError: numpy.dtype size changed, may indicate binary incompatibility.
Expected 96 from C header, got 88 from PyObject
```
## Steps to reproduce the problem
1. Run Docker container: `docker run --rm -p 8888:8888 -p 8080:8080 -p
8081:8081 -p 4040:4040 apache/sedona:1.6.1`
2. Open http://localhost:8888
3. Create a new notebook, add cell `import pandas as pd` and run
## Settings
Sedona version = 1.6.1
Image version = 1.6.1 or latest
(`sha256:992f9645635abd1df6adb6fbfb3c08d716494b25d3ee445413c4f6fd46eeff28`)
Apache Spark version = 3.4.1
API type = Python
Python version = 3.10.12
Environment = Standalone / Docker
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