How to select rows with one or more nulls from a pandas DataFrame without listing columns explicitly?

Question

I have a dataframe with ~300K rows and ~40 columns. I want to find out if any rows contain null values - and put these \'null\'-rows into a separate dataframe so that I coul

Answer 1

Four fewer characters, but 2 more ms

%%timeit
df.isna().T.any()
# 52.4 ms ± 352 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)

%%timeit
df.isna().any(axis=1)
# 50 ms ± 423 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)

I'd probably use axis=1