Question about datar When I run the following code <div class=

[QST] Warning: PipeableCallCheckWarning: Failed to detect AST node calling `mutate`, assuming a piping call. about datar HOT 6 CLOSED

luifrancgom commented on September 15, 2024

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

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Comments (6)

pwwang commented on September 15, 2024 1

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")

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pwwang commented on September 15, 2024

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

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luifrancgom commented on September 15, 2024

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

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pwwang commented on September 15, 2024

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

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luifrancgom commented on September 15, 2024

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