DataFrame examples are nearly unreadable

[inglesp]

I have a test that takes a couple of Pandas DataFrames as input. When the test fails, the examples in the output can be very hard to make sense of:

Falsifying example: test_always_increasing(
    df_a=            A
    2021-01-01  1, df_b=            A
    2021-01-01  0
    2021-01-02  0,
)

If I add the following line in my test setup:

pd.DataFrame._repr_pretty_ = lambda self, p, cycle: p.text(f"\n{self}\n")

then the output is much clearer:

Falsifying example: test_always_increasing(
    df_a=
            A
2021-01-01  1
,
    df_b=
            A
2021-01-01  0
2021-01-02  0
,
)

Would you accept a patch that always sets pd.DataFrame._repr_pretty_? (Assuming Pandas is installed and that pd.DataFrame._repr_pretty_ isn't already set...)

[inglesp]

Hey @Zac-HD, I'm sorry I never got around to fixing this myself. Thanks!

[Zac-HD]

No worries! I happened to be poking around in the pretty-printer last week, and at that point it was (ahem) pretty easy to fix 😎