This is creating a single integer that’s the concatenation of all the numbers in CaseNumberList, not a list of integers: IntCaseNumberList = int(“”.join(str(i) for i in CaseNumberList)) So when you try to ue IntCaseNumberList[i], it doesn’t work because it’s a number, not a list. To create a list of integers, you need to call int() … Read more
I’m way too lazy to type in all that data everytime I run your script, so I automated that part to make development and testing of it easier. Likewise, I think the easiest thing to do would be to use the collections module’s defaultdict class to keep track of what dates have been seen and … Read more
Matplotlib Graph Data
Ways to resolve an ‘invalid value encountered’ in matplotlib surface plot of sin(x)/x?
Do this: from threading import Thread def func1(): print(‘Working’) def func2(): print(“Working”) if __name__ == ‘__main__’: Thread(target = func1).start() Thread(target = func2).start()
You could try: dict((k, bigdict[k]) for k in (‘l’, ‘m’, ‘n’)) … or in Python 3 Python versions 2.7 or later (thanks to Fábio Diniz for pointing that out that it works in 2.7 too): {k: bigdict[k] for k in (‘l’, ‘m’, ‘n’)} Update: As Håvard S points out, I’m assuming that you know the … Read more
By definition, isdecimal() ⊆ isdigit() ⊆ isnumeric(). That is, if a string is decimal, then it’ll also be digit and numeric. Therefore, given a string s and test it with those three methods, there’ll only be 4 types of results. +————-+———–+————-+———————————-+ | isdecimal() | isdigit() | isnumeric() | Example | +————-+———–+————-+———————————-+ | True | True … Read more
TL;DR Making the Right Choice: We have walked through the most popular forms of concurrency. But the question remains – when should choose which one? It really depends on the use cases. From my experience (and reading), I tend to follow this pseudo code: if io_bound: if io_very_slow: print(“Use Asyncio”) else: print(“Use Threads”) else: print(“Multi … Read more
Try hasattr(): if hasattr(a, ‘property’): a.property See zweiterlinde’s answer below, who offers good advice about asking forgiveness! A very pythonic approach! The general practice in python is that, if the property is likely to be there most of the time, simply call it and either let the exception propagate, or trap it with a try/except … Read more
You are using the same name for the getter, setter and attribute. When setting up a property, you must rename the attribute locally; the convention is to prefix it with an underscore. class Test(object): def __init__(self, value): self._x = value @property def x(self): return self._x