('F', 1))
table2 = (('foo', 'baz'),
('B', 3),
('D', 10))
from petl import annex, look
look(table1)
look(table2)
table3 = annex(table1, table2)
look(table3)
# progress
from petl import dummytable, progress, tocsv
d = dummytable(100500)
p = progress(d, 10000)
tocsv(p, 'output.csv')
# clock
from petl import dummytable, clock, convert, progress, tocsv
t1 = dummytable(100000)
c1 = clock(t1)
t2 = convert(c1, 'foo', lambda v: v**2)
c2 = clock(t2)
p = progress(c2, 10000)
tocsv(p, 'dummy.csv')
# time consumed retrieving rows from t1
c1.time
('F', 1))
table2 = (('foo', 'baz'),
('B', 3),
('D', 10))
from petl import annex, look
look(table1)
look(table2)
table3 = annex(table1, table2)
look(table3)
# progress
from petl import dummytable, progress, tocsv
d = dummytable(100500)
p = progress(d, 10000)
tocsv(p, 'output.csv')
# clock
from petl import dummytable, clock, convert, progress, tocsv
t1 = dummytable(100000)
c1 = clock(t1)
t2 = convert(c1, 'foo', lambda v: v**2)
c2 = clock(t2)
p = progress(c2, 10000)
tocsv(p, 'dummy.csv')
# time consumed retrieving rows from t1
c1.time
def test_from_petl(self):
nrows = 10
ptbl = petl.dummytable(numrows=nrows)
tbl = Table(ptbl)
self.assertEqual(tbl.num_rows, nrows)
from __future__ import division, print_function, absolute_import
# randomtable()
###############
import petl as etl
table = etl.randomtable(3, 100, seed=42)
table
# dummytable()
##############
import petl as etl
table1 = etl.dummytable(100, seed=42)
table1
# customise fields
import random
from functools import partial
fields = [('foo', random.random), ('bar', partial(random.randint, 0, 500)),
('baz', partial(random.choice,
['chocolate', 'strawberry', 'vanilla']))]
table2 = etl.dummytable(100, fields=fields, seed=42)
table2
from __future__ import division, print_function, absolute_import
# progress()
############
import petl as etl
table = etl.dummytable(100000)
table.progress(10000).tocsv('example.csv')
# clock()
#########
import petl as etl
t1 = etl.dummytable(100000)
c1 = etl.clock(t1)
t2 = etl.convert(c1, 'foo', lambda v: v**2)
c2 = etl.clock(t2)
p = etl.progress(c2, 10000)
etl.tocsv(p, 'example.csv')
# time consumed retrieving rows from t1
c1.time
# time consumed retrieving rows from t2
c2.time
# actual time consumed by the convert step
c2.time - c1.time
from __future__ import division, print_function, absolute_import
# randomtable()
###############
import petl as etl
table = etl.randomtable(3, 100, seed=42)
table
# dummytable()
##############
import petl as etl
table1 = etl.dummytable(100, seed=42)
table1
# customise fields
import random
from functools import partial
fields = [('foo', random.random),
('bar', partial(random.randint, 0, 500)),
('baz', partial(random.choice,
['chocolate', 'strawberry', 'vanilla']))]
table2 = etl.dummytable(100, fields=fields, seed=42)
table2
