There is a socket related function call in my code, that function is from another module thus out of my control, the problem is that it blocks for hours occasionally, which is totally unacceptable, How can I limit the function execution time from my code? I guess the solution must utilize another thread.
I am trying to find some way of appending multiple pandas data frames at once rather than appending them one by one using
How do I apply a function to the list of variable inputs?
For e.g. the filter function returns true values but not the actual output of the function.
Is there a standard way, in Python, to normalize a unicode string, so that it only comprehends the simplest unicode entities that can be used to represent it ?
I have diferent dataframes and need to merge them together based on the date column. If I only had two dataframes, I could use df1.merge(df2, on='date'), to do it with three dataframes, I use df1.merge(df2.merge(df3, on='date'), on='date'), however it becomes really complex and unreadable to do it with multiple dataframes.
I have a 4-D numpy array, with the first dimension representing the number of images in a data set, the second and third being the (equal) width and height, and the 4th being the number of channels (3). For example let’s say I have 4 color images that are 28*28, so my image data looks like this:
Why or why not?
Is there a way to dump a NumPy array into a CSV file? I have a 2D NumPy array and need to dump it in human-readable format.
I am working with a library which returns a byte string and I need to convert this to a string.
Can I extract the underlying decision-rules (or ‘decision paths’) from a trained tree in a decision tree as a textual list?