Cannot access member for type tuple[Any, ...] using Pandas DataFrame itertuples (Pyright-langserver with Neovim 0.7)

Question

I'm using the pyright-langserver with Neovim v0.7.0. It functions well, except I don't know how to correctly annotate the types in the following situation.

import pandas as pd

df = pd.DataFrame({'num_legs': [4, 2], 'num_wings': [0, 2]},index=['dog', 'hawk'])

for row in df.itertuples():
    print(row.num_legs) # ■ Cannot access member "num_legs" for type "tuple[Any, ...]"    Member "num_legs" is unknown

As you can see, I put a comment showing the error that pyright reports: Cannot access member "num_legs" for type "tuple[Any, ...]" Member "num_legs" is unknown

The code is valid in that it prints 4, then 2, as I would expect. How do I satisfy the type-checking?

@creanion thanks for your reply. That issue doesn't really answer the question. We have two people saying they think it's impossible to provide type hints, which I can accept if it's true. But even still, is there some way to silence this error message which is coming from the language server? — Nick Reid
– Nick Reid, Commented Jun 20, 2022 at 18:14

mwil.me · Accepted Answer · 2023-03-01 08:50:08Z

1

I have not found a solution to fix the type issue (Pandas just types as a generic tuple), but there are at least two ways to suppress the error reports.

Tell Pyright to ignore the error:

for row in df.itertuples():
    print(row.num_legs)  # # pyright: ignore [reportGeneralTypeIssues]

cast() the type to Any to turn off type interference for the object

from typing import cast

for row in df.itertuples():
    row: Any = cast(Any, row)
    print(row.num_legs)

answered Mar 1, 2023 at 8:50

mwil.me

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