DEPR: deprecate / warn about raising an error in __array__ when copy=False cannot be honore

[jorisvandenbossche]

The numpy 2.0 changed the behavior of the copy keyword in __array__, and especially making copy=False to be strict (raising an error when a zero-copy numpy array is not possible).
We only adjusted pandas to update the copy handling now in #60046 (issue #57739).

But that also introduced a breaking change for anyone doing np.array(ser, copy=False) (and who hasn't updated that when updating to numpy 2.0), which historically has always worked fine and could silently give a copy anyway.

The idea would be to still include a FutureWarning about this first before raising the error (as now in main) in pandas 3.0.

See #60046 (comment) for more context

[KevsterAmp]

take

[KevsterAmp]

take

[KevsterAmp]

@jorisvandenbossche - I'm having a hard time trying to replicate np.array(ser, copy=False) to return an error using pandas latest release (2.2) or 2.3.x branch with Numpy v2.0 or Numpy>v2.0. I'm trying to replicate it to use it for debugging, Thanks

[jorisvandenbossche]

Try this example with latest main:

In [1]: ser = pd.Series(["a", "b"], dtype="category")

In [2]: np.array(ser, copy=False)
...
ValueError: Unable to avoid copy while creating an array as requested.

You need to use a dtype that cannot be converted zero-copy to numpy, such as category I used above (if you would use integers, for example, that will not error).

And also you need latest main (or 2.3.x), this is not yet included in a released version.

[KevsterAmp]

Can't seem to replicate on my end, on both main and 2.3.x. Running:

import numpy as np
import pandas as pd

print(f"NumPy version: {np.__version__}")
print(f"Pandas version: {pd.__version__}")

ser = pd.Series(["a", "b"], dtype="category")
x = np.array(ser, copy=False)
print(x)

Output:

(pandas-dev) kev@mac pandas % python test.py
+ /Users/kev/.pyenv/versions/3.10.14/bin/ninja
[1/1] Generating write_version_file with a custom command
NumPy version: 1.26.4
Pandas version: 3.0.0.dev0+1580.g68d9dcab5b
['a' 'b']

I'm running on macOS 15.1.1

[jorisvandenbossche]

Ah, you need numpy > 2.0