def setupTable():
names = "int long float str object array".split()
types = [
int,
long,
float,
str,
object,
np.ndarray,
]
formats = ["%3d", "%d", "%.3f", "%s", "%r", "'array(%r)' % o.shape"]
row1 = [1, 12323L, 1.0, "hi", {1: 1}, np.array((1, 2, 3))]
row2 = [2, 22323L, 2.0, "hi2", [
2,
3,
], np.array(((2, 3, 4), (1, 2, 3)))]
row3 = [
3, 32323L, 3.0, "hi3", (3, ),
np.array(((3, 3, 4, 5), (1, 2, 3, 4)))
]
rows = [row1, row2, row3]
t = Table(names, types, formats, rows, "testtabelle", meta=dict(why=42))
t = t.extractColumns("int", "float", "str")
t.addEnumeration()
t._name = "t"
t._print()
return t
def setupTable():
names="int long float str object array".split()
types = [int, long, float, str, object, np.ndarray,]
formats = [ "%3d", "%d", "%.3f", "%s", "%r", "'array(%r)' % o.shape" ]
row1 = [ 1, 12323L, 1.0, "hi", { 1: 1 }, np.array((1,2,3)) ]
row2 = [ 2, 22323L, 2.0, "hi2", [2,3,], np.array(((2,3,4),(1,2,3))) ]
row3 = [ 3, 32323L, 3.0, "hi3", (3,) , np.array(((3,3,4,5),(1,2,3,4))) ]
rows = [row1, row2, row3]
t=Table(names, types, formats, rows, "testtabelle", meta=dict(why=42))
t = t.extractColumns("int", "float", "str")
t.addEnumeration()
t._name = "t"
t._print()
return t
