import collections
from collections import OrderedDict
_Thing = collections.namedtuple('_Thing', ('attr1', 'attr2'))
class Thing(_Thing):
pass
values = [
True,
0b01,
0x42,
1e42,
42,
42.0,
"str",
[1,2,3],
(1,2,3,), # tuples are immutable (but their references are not)
{1,2,3},
{'one':1,'two':2},
OrderedDict([('one',1), ('two', 2)]),
Thing(attr1=1, attr2=2),
(x for x in range(4)),
[x for x in range(2)],
]
print("# type, obj, iter(obj), list(iter(obj))")
for obj in values:
output = (type(obj), obj, iter(obj), list(iter(obj))) if hasattr(obj, '__iter__') else (obj,)
print(obj)
# ...
# * https://docs.python.org/3/whatsnew/2.7.html#python-3-1-features
And then something about tablib, dataset, pandas etc for reading/writing actual safe CSV.
http://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-1-Introduction-to-Python-Programming.ipynb#Type-utility-functions
Something like:
And then something about tablib, dataset, pandas etc for reading/writing actual safe CSV.