Closed anuveyatsu closed 5 years ago
@anuveyatsu how about this
from dataflows import Flow, printer, set_type, add_computed_field
data = [{'a': 'a%s' % (x+1), 'b': 'b%s' % (x+1), 'c':'c%s' % (x+1)} for x in range(10)]
def add_id(rows):
counter = 0
for row in rows:
row['id'] = counter + 1
yield row
counter += 1
Flow(
data,
add_computed_field([dict(target='id', operation='constant', with_='dummy')]),
add_id,
set_type('id', type='integer'),
printer()
).process()
Output:
res_1:
# a b c id
(string) (string) (string) (integer)
--- ---------- ---------- ---------- -----------
1 a1 b1 c1 1
2 a2 b2 c2 2
3 a3 b3 c3 3
4 a4 b4 c4 4
5 a5 b5 c5 5
6 a6 b6 c6 6
7 a7 b7 c7 7
8 a8 b8 c8 8
9 a9 b9 c9 9
10 a10 b10 c10 10
@zelima perfect! Thanks!
Any suggestion for getting from this
to this: