Python 3 replacement for deprecated compiler.ast flatten function
What’s the recommended way to flatten nested lists since the deprecation of the compiler package?
Python
How to save the Pandas dataframe/series data as a figure?
It sounds somewhat weird， but I need to save the Pandas console output string to png pics. For example:
str.strip() strange behavior
The chars argument is a string specifying the set of characters to be removed.
Is there a numpy builtin to reject outliers from a list
Is there a numpy builtin to do something like the following? That is, take a list d and return a list filtered_d with any outlying elements removed based on some assumed distribution of the points in d.
Reverse a get_dummies encoding in pandas
Column names are: ID,1,2,3,4,5,6,7,8,9.
plotting results of hierarchical clustering ontop of a matrix of data in python
How can I plot a dendrogram right on top of a matrix of values, reordered appropriately to reflect the clustering, in Python? An example is the following figure:
Scale Everything On Pygame Display Surface
So I’m making a 2D pixel art game in pygame and as you could assume, all my sprite textures appear very small. I’m wondering if there’s a way I can globally scale everything up in my game without either having to scale each sprite up individually or messing up the coordinates. Every sprite will move on a grid: one unit is 16×16 pixels and when my player sprite moves, for example, it will just move over in a direction 16 pixels.
Can Keras with Tensorflow backend be forced to use CPU or GPU at will?
I have Keras installed with the Tensorflow backend and CUDA. I’d like to sometimes on demand force Keras to use CPU. Can this be done without say installing a separate CPU-only Tensorflow in a virtual environment? If so how? If the backend were Theano, the flags could be set, but I have not heard of Tensorflow flags accessible via Keras.
When to use get, get_queryset, get_context_data in Django?
I recently learned that you should override the get method when you specifically want to do something other than what the default view does:
Slicing of a NumPy 2d array, or how do I extract an mxm submatrix from an nxn array (n>m)?
I want to slice a NumPy nxn array. I want to extract an arbitrary selection of m rows and columns of that array (i.e. without any pattern in the numbers of rows/columns), making it a new, mxm array. For this example let us say the array is 4×4 and I want to extract a 2×2 array from it.