Efficiently sorting a numpy array in descending order?
temp[::-1].sort() sorts the array in place, whereas np.sort(temp)[::-1] creates a new array.
temp[::-1].sort() sorts the array in place, whereas np.sort(temp)[::-1] creates a new array.
Apart from timeit which ThiefMaster mentioned, a simple way to do it is just (after importing time): I have a helper class I like to use: It can be used as a context manager: Sometimes I find this technique more convenient than timeit – it all depends on what you want to measure.
Solution 1: For some reason, virtualenvwrapper.sh installed in /usr/bin/virtualenvwrapper.sh, instead of under /usr/local/bin. The following in my .bash_profile works… My install seems to work fine without sourcing virtualenvwrapper_bashrc Solution 2: Alternatively as mentioned below, you could leverage the chance that virtualenvwrapper.sh is already in your shell’s PATH and just issue a source `which virtualenvwrapper.sh`
Python 3 renamed the unicode type to str, the old str type has been replaced by bytes. You may want to read the Python 3 porting HOWTO for more such details. There is also Lennart Regebro’s Porting to Python 3: An in-depth guide, free online. Last but not least, you could just try to use the 2to3 tool to see how that translates the code for you.
You must declare matplotlib.use(‘agg’) before import pylab as plt. Reference
You should make x and y numpy arrays, not lists: With this change, it produces the expected plot. If they are lists, m * x will not produce the result you expect, but an empty list. Note that m is anumpy.float64 scalar, not a standard Python float. I actually consider this a bit dubious behavior of Numpy. In normal Python, multiplying a list with an … Read more
Just ran into this problem. I don’t know if it’s the same thing that hit your code, but for me the root cause was because I forgot to put name= on the last argument of the url (or path in Django 2.0+) function call. For instance, the following functions throw the error from the question: But these actually work: The reason … Read more
I fixed it by adding .encode(“utf-8”) to soup. That means that print(soup) becomes print(soup.encode(“utf-8”)).
You open the variable “file” as a read only then attempt to write to it: Instead, use the ‘w’ flag.
In PyCharm IDE, we can import the downloaded libraries, and that’s what I did. Still, I have no clue on how to resolve this issue on Python IDE, but as of now, it’s working on PyCharm for me.