def build_table(table_name, rows):
"""build the table to use in our example.
if already built just open it"""
if not os.path.exists(table_name):
ds = 'x, {i: int64; f: float64}'
p = params(clevel=5, storage=table_name)
t = Table([], dshape=ds, params=p)
for i in xrange(rows):
t.append((i, random()))
t.commit()
else:
t = open(table_name)
return t
def build_table(table_name, rows):
"""build the table to use in our example.
if already built just open it"""
if not os.path.exists(table_name):
ds = 'x, {i: int64; f: float64}'
p = params(clevel=5, storage=table_name)
t = Table([], dshape=ds, params=p)
for i in xrange(rows):
t.append((i, random()))
t.commit()
else:
t = open(table_name)
return t
def test_simple():
if not os.path.exists('./noaa_data'):
p = params(clevel=5, storage='./noaa_data')
t = Table([], dshape='{f0: int, f1:int, f2:int, f3:float}', params=p)
# TODO: chunkwise copy
t.append(adapter[:])
t.commit()
else:
t = open('ctable://noaa_data')
print '--------------------------------------'
print 'mean', mean(t, 'f3')
print 'std', std(t, 'f2')
print '--------------------------------------'
qs1 = select(t, lambda x: x > 80000, 'f0')
qs2 = select2(t, lambda x,y: x > y, ['f0', 'f1'])
result = t[qs1]
def test_simple():
if not os.path.exists('./noaa_data'):
p = params(clevel=5, storage='./noaa_data')
t = Table([], dshape='{f0: int, f1:int, f2:int, f3:float}', params=p)
# TODO: chunkwise copy
t.append(adapter[:])
t.commit()
else:
t = open('ctable://noaa_data')
print '--------------------------------------'
print 'mean', mean(t, 'f3')
print 'std', std(t, 'f2')
print '--------------------------------------'
qs1 = select(t, lambda x: x > 80000, 'f0')
qs2 = select2(t, lambda x, y: x > y, ['f0', 'f1'])
result = t[qs1]
