datatable.rowany()¶
For each row in cols return True if any of the values in that row
are True, or otherwise return False. The function uses shortcut
evaluation: if the True value is found in one of the columns,
then the subsequent columns are skipped.
Parameters¶
cols
FExpr[bool]Input boolean columns.
return
FExpr[bool]f-expression consisting of one boolean column that has the same number
of rows as in cols.
except
TypeErrorThe exception is raised when one of the columns from cols
has a non-boolean type.
Examples¶
from datatable import dt, f
DT = dt.Frame({"A":[True, True],
"B":[True, False],
"C":[True, True]})
DT
| A | B | C | ||
|---|---|---|---|---|
| bool8 | bool8 | bool8 | ||
| 0 | 1 | 1 | 1 | |
| 1 | 1 | 0 | 1 |
DT[:, dt.rowany(f[:])]
| C0 | ||
|---|---|---|
| bool8 | ||
| 0 | 1 | |
| 1 | 1 |
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