.py: This is normally the input source code that you’ve written. .pyc: This is the compiled bytecode. If you import a module, python will build a *.pyc file that contains the bytecode to make importing it again later easier (and faster). .pyo: This was a file format used before Python 3.5 for *.pyc files that were created with optimizations … Read more
You can use pyplot.matshow() from matplotlib: Edit: In the comments was a request for how to change the axis tick labels. Here’s a deluxe version that is drawn on a bigger figure size, has axis labels to match the dataframe, and a colorbar legend to interpret the color scale. I’m including how to adjust the size and rotation … Read more
As of pip 1.3, there is a pip show command. In older versions, pip freeze and grep should do the job nicely.
That’s the warning you get when you try to evaluate log with 0: I agree it’s not very clear. So in your case, I would check why your input to log is 0. PS: this is on numpy 1.10.4
A module is a single file (or files) that are imported under one import and used. e.g. A package is a collection of modules in directories that give a package hierarchy. Documentation for modules Introduction to packages
You can create a set of tuples, a set of lists will not be possible because of non hashable elements as you mentioned.
Refer to tensorflow issue#9701. Run tensorboard –logdir=YOUR_LOG_DIR –host=127.0.0.1 in command prompt, and type localhost:6006 in chrome, this works for me (Win10, anaconda4.3.16, python3.5.3, tensorflow1.1.0).
Python 2 and Python 3 i is the key, so you would just need to use it: Python 3 d.items() returns the iterator; to get a list, you need to pass the iterator to list() yourself. Python 2 You can get an iterator that contains both keys and values. d.items() returns a list of (key, value) tuples, while d.iteritems() returns an iterator that provides … Read more
“The only way I can remove it seems to be: sudo rm -rf venv“ That’s it! There is no command for deleting your virtual environment. Simply deactivate it and rid your application of its artifacts by recursively removing it. Note that this is the same regardless of what kind of virtual environment you are using. virtualenv, venv, Anaconda … Read more
UPDATE: more efficient solutions have been proposed, uniform_filter1d from scipy being probably the best among the “standard” 3rd-party libraries, and some newer or specialized libraries are available too. You can use np.convolve for that: Explanation The running mean is a case of the mathematical operation of convolution. For the running mean, you slide a window along the input and compute the mean of … Read more