Open westurner opened 10 years ago
http://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-1-Introduction-to-Python-Programming.ipynb#Type-utility-functions
Something like:
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.