For large arrays, a vectorised numpy operation is the fastest. If you must loop, prefer xrange/range and avoid using np.arange. In numpy you should use combinations of vectorized calculations, ufuncs and indexing to solve your problems as it runs at C speed. Looping over numpy arrays is inefficient compared to this. (Something like the worst … Read more
TL;DR Use the Wrapper helper from python-varname: For list comprehension part, you can do: I am the author of the python-varname package. Please let me know if you have any questions or you can submit issues on Github. The long answer Is it even possible? Yes and No. We are retrieving the variable names at … Read more
You can plot several columns at once by supplying a list of column names to the plot‘s y argument. This will produce a graph where bars are sitting next to each other. In order to have them overlapping, you would need to call plot several times, and supplying the axes to plot to as an … Read more
I would like to know how to convert a string containing digits to a double.
Say I have three dicts How do I create a new d4 that combines these three dictionaries? i.e.:
When you plot a normalized histogram, it is not the height that should sum up to one, but the area underneath the curve should sum up to one: Here, this example, the bin width is 0.1, the area underneath the curve sums up to one (0.1*10). To have the sum of height to be 1, … Read more
You are trying to iterate over the object itself, which is returning the error. You want to iterate over the list inside the object, in this case Notes.notes (which is somewhat confusing naming, you may want to distinguish the internal list by using another name for the instance of the notebook object).
Os You can list all files in the current directory using os.listdir: Glob Or you can list only some files, depending on the file pattern using the glob module: It doesn’t have to be the current directory you can list them in any path you want: Pipe Or you can even use the pipe as you specified using fileinput And … Read more
You can use numpy.where: Error is better explain here. Slowier solution with apply, where need axis=1 for data processing by rows: Also is possible use loc, but sometimes data can be overwritten:
Maybe another DLL necessary for MKL, such as libiomp5md.dll for example, is missing and causes the error. See Cannot load mkl_intel_thread.dll on python executable, my answer there and its comments. If this still does not solve your problem, try to manually copy other DLLs from the anaconda environment’s library path into the app installation directory and its lib subdirectory. Once … Read more