[QST] Warning: PipeableCallCheckWarning: Failed to detect AST node calling `mutate`, assuming a piping call.

[luifrancgom]

Question about datar

When I run the following code

# with pandas backend
from datar import f
from datar.dplyr import mutate
from datar.tibble import tibble
# or
# from datar.all import f, mutate, filter, if_else, tibble

df = tibble(
    x=range(4),  # or c[:4]  (from datar.base import c)
    y=['zero', 'one', 'two', 'three']
)
df >> mutate(z=f.x)

I get the following warning PipeableCallCheckWarning: Failed to detect AST node callingmutate, assuming a piping call. I want to understand what is the meaning of this warning.

My session info is the following:

-----
datar               0.15.3
datar_pandas        0.5.3
pipda               0.13.1
session_info        1.0.0
-----
Python 3.10.9 (main, Mar  1 2023, 18:23:06) [GCC 11.2.0]
Linux-6.2.0-37-generic-x86_64-with-glibc2.35
-----
Session information updated at 2023-12-06 13:49

Also when I run datar.get_versions() this is the information I get:

python      : 3.10.9 (main, Mar  1 2023, 18:23:06) [GCC 11.2.0]
datar       : 0.15.3
simplug     : 0.3.2
executing   : 2.0.1
pipda       : 0.13.1
datar-numpy : 0.3.2
numpy       : 1.26.2
datar-pandas: 0.5.3
pandas      : 2.1.1

[pwwang]

What's the environment where you ran your code, python file, python REPL, ipython, jupyter, etc?

[luifrancgom]

I am using Visual Studio Code version 1.84.2 (user setup) and running it in a conda environment.

[pwwang]

Did you run it from a Python REPL (by typing "python" from the command line and running you code from there)?

[luifrancgom]

I am going to reproduce what I exactly did and also I attach a screenshot. I apologize in advance if the problem is not related to the module.

luifrancgom@luifrancgom-HP-Compaq-6200-Pro-SFF-PC:~/Documents$ conda activate base
(base) luifrancgom@luifrancgom-HP-Compaq-6200-Pro-SFF-PC:~/Documents$ python
Python 3.10.9 (main, Mar  1 2023, 18:23:06) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from datar import f
>>> from datar.dplyr import mutate
>>> from datar.tibble import tibble
>>> df = tibble(
...     x=range(4),  # or c[:4]  (from datar.base import c)
...     y=['zero', 'one', 'two', 'three']
... )
>>> df >> mutate(z=f.x)
/home/luifrancgom/anaconda3/lib/python3.10/site-packages/pipda/utils.py:89: PipeableCallCheckWarning: Failed to detect AST node calling `mutate`, assuming a piping call.
  warnings.warn(
        x        y       z
  <int64> <object> <int64>
0       0     zero       0
1       1      one       1
2       2      two       2
3       3    three       3

[pwwang]

You are running code via raw Python REPL. See issues under:

https://github.com/pwwang/datar/issues?q=label%3A%22raw+python+repl%22+

Try to use ipython or save your code in a script and run it with python xxx.py.

Or you can also temporarily dismiss the warning by:

df >> mutate(z=f.x, __ast_fallback="piping")

[luifrancgom]

Thank you for your help.