It seems there are already quite some questions here about relative import in python 3, but after going through many of them I still didn’t find the answer for my issue. so here is the question. I have a package shown below and I have a single line in test.py: now, I am in the … Read more
writelines expects an iterable of strings write expects a single string. line1 + “\n” + line2 merges those strings together into a single string before passing it to write. Note that if you have many lines, you may want to use “\n”.join(list_of_lines).
It is used to format strings (you can read about string formatting in the string docs, also mentioned in Input and Output – old string formatting). Output pink is 10
If this happens you would need to set the PATH for your environment (so that it gets the right Python from the environment and Scripts\ on Windows). Imagine you have created an environment called py33 by using: Here the folders are created by default in Anaconda\envs, so you need to set the PATH as: Now … Read more
you can use plt.matshow() instead of plt.imshow() or you can use seaborn module’s heatmap (see documentation) to plot the confusion matrix
I got this issue on Rasberry PI and found that the root cause was missing library: Then it takes few minute to google the required library source: I have not checked the solution on any other Linux-es but likely the same method should be applicable. So try to import the faulty library first and see … Read more
Pandas doesn’t have the ability to store NaN values for integers. Strictly speaking, you could have a column with mixed data types, but this can be computationally inefficient. So if you insist, you can do
You should be able to use line.strip(‘\n’) and line.strip(‘\t’). But these don’t modify the line variable…they just return the string with the \n and \t stripped. So you’ll have to do something like That should work for removing from the start and end. If you have \n and \t in the middle of the string, you need to do to replace the \n and \t with nothingness.
I had a similar problem using the Pystruct pystruct.learners.OneSlackSSVM. It occured because my training labels were floats, in stead of integers. In my case, it was because I initialized the labels with np.ones, without specifying dtype=np.int8. Hope it helps.
Exploiting the features of the Python language to produce code that is clear, concise and maintainable. Pythonic means code that doesn’t just get the syntax right but that follows the conventions of the Python community and uses the language in the way it is intended to be used. This is maybe easiest to explain by … Read more