datatable.rowcount()¶
For each row, count the number of non-missing values in cols.
Parameters¶
cols
FExprInput columns.
return
FExprf-expression consisting of one int32 column and the same number
of rows as in cols.
Examples¶
from datatable import dt, f
DT = dt.Frame({"A": [1, 1, 2, 1, 2],
"B": [None, 2, 3, 4, None],
"C":[True, False, False, True, True]})
DT
| A | B | C | ||
|---|---|---|---|---|
| int32 | int32 | bool8 | ||
| 0 | 1 | NA | 1 | |
| 1 | 1 | 2 | 0 | |
| 2 | 2 | 3 | 0 | |
| 3 | 1 | 4 | 1 | |
| 4 | 2 | NA | 1 |
Note the exclusion of null values in the count:
DT[:, dt.rowcount(f[:])]
| C0 | ||
|---|---|---|
| int32 | ||
| 0 | 2 | |
| 1 | 3 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 2 |
See Also¶
rowsum()– sum of all values row-wise.
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