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Tag: arrays

Convert PIL Image to byte array?

I have an image in PIL Image format. I need to convert it to byte array. Now I need the roiImg as a byte array. Answer Thanks everyone for your help. Finally got it resolved!! With this i don’t have to save the cropped image in my hard disc and I’m able to retrieve the byte array from a PIL

How to copy a 2D array into a 3rd dimension, N times?

I’d like to copy a numpy 2D array into a third dimension. For example, given the 2D numpy array: convert it into a 3D matrix with N such copies in a new dimension. Acting on arr with N=3, the output should be: Answer Probably the cleanest way is to use np.repeat: Having said that, you can often avoid repeating your

Sum slices of consecutive values in a NumPy array

Let’s say I have a numpy array a containing 10 values. Just an example situation here, although I would like to repeat the same for an array with length 100. I would like to sum the first 5 values followed by the second 5 values and so on and store them in a new empty list say b. So b

How do I find the position of a value in a pandas.DataFrame?

I want to search for ‘row3’ in the index of the DataFrame below, which should be 2 for a zero-based array. Is there a function which return the row number of ‘row3’? Thanks in advance for any help. Answer You could use Index.get_loc (docs): But this is a somewhat unusual access pattern– never need it myself.

How to pass Python list to C function using Cython

I am using a Raspberry Pi to interface with custom hardware connected to the GPIO. The controlling software is written in Python, and the interface to the custom hardware is written in C, as it is a much faster C implementation. I now need to start calling my C functions from my Python, and have recently been learning how to

How to return 0 with divide by zero

I’m trying to perform an element wise divide in python, but if a zero is encountered, I need the quotient to just be zero. For example: I could always just use a for-loop through my data, but to really utilize numpy’s optimizations, I need the divide function to return 0 upon divide by zero errors instead of ignoring the error.

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