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
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
