Series(series) discards name attribute #1578
Comments
changhiskhan
added a commit
that referenced
this issue
Jul 7, 2012
|
Heh. Github doesn't seem to notify for commits added to a bug, but I noticed that you were working on this because I was just watching my pandas integration tests run on travis, and saw it running on the next virtual buildslave over... |
|
ha, didn't know that, that's interesting. |
|
Also, thanks :-) |
|
thanks for the feedback =0) |
algitbot
pushed a commit
to alpinelinux/aports
that referenced
this issue
Nov 5, 2024
Update numpy array copy references for numpy 2.0 compatibility to fix
failed tests.
```
a = [1, 2, 3], copy = False, dtype = None, subok = False
def asarray_or_pandas(a, copy=False, dtype=None, subok=False):
if have_pandas:
if isinstance(a, (pandas.Series, pandas.DataFrame)):
# The .name attribute on Series is discarded when passing through
# the constructor:
# pandas-dev/pandas#1578
extra_args = {}
if hasattr(a, "name"):
extra_args["name"] = a.name
return a.__class__(a, copy=copy, dtype=dtype, **extra_args)
> return np.array(a, copy=copy, dtype=dtype, subok=subok)
E ValueError: Unable to avoid copy while creating an array as requested.
E If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
E For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
patsy/util.py:67: ValueError
```
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Data and index are preserved, but not name:
The text was updated successfully, but these errors were encountered: