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I am working on a FFT program, and I would like to get the frequency which has the largest amplitude or intensity in a sound. I checked out some codes on internet, but I couldn't find how to get the amplitude on a python program.
Check librosa.core.stft This gives magnitude of each frequency bin at given time. More details here:
https://librosa.github.io/librosa/generated/librosa.core.stft.html?highlight=stft#librosa.core.stft
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I have a NumPy array with a shape of (893, 3). It is storing color data that I'm trying to convert into a file format that only support 255 unique colors. Is there a way to average the differences between the range of colors to produce 255 unique colors that are closest in value to the original 893?
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I have following algorithm I will implement in Python:
I'm not sure how to build it up and especially to deal with the minimum function. Can anyone help me?
I have self made the norm of the gradiant calculated out from matrix A and vector b by following:
r=b-A#x
r_new=np.inner(r,r)
np.sqrt(r_new)
But how do I deal with the minimum function and the setup. Can anyone help me?
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I have one data frame in python. How can I calculate the 3sigma value for each column of my data frame using python? please help me with this.
The command you're looking for is df.std() * 3
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I have dataframe like this
enter image description here
I need to find out the average close days of request Recycling
Please help me.
You can group by request and get the average.This will give average for each group
df.groupby("request")["Days to Close"].mean()
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I want to convert an image of a graph (plot) to corresponding data. Is there any python library to do this or maybe some sample code to learn from?
If not, then how do i approach this problem?
You can also use a digitizing software application, to convert graph images to data, that is to numbers. im2graph is free and available for both Linux and Windows. See http://www.im2graph.co.il.