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Difference between numpy.array shape (R, 1) and (R,)
In numpy , some of the operations return in shape (R, 1) but some return (R,) . This will make matrix multiplication more tedious since explicit reshape is required. For example, given a matrix M , if we want to do numpy.dot(M[:,0], numpy.ones((1, R))) where R is the number of rows (of co...
cartesian product in pandas
I have two pandas dataframes:
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Find unique rows in numpy.array
I need to find unique rows in a numpy.array .
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Convert pandas dataframe to NumPy array
I am interested in knowing how to convert a pandas dataframe into a NumPy array.
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RegEx for matching UK Postcodes
I'm after a regex that will validate a full complex UK postcode only within an input string. All of the uncommon postcode forms must be covered as well as the usual. For instance:
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Convert light frequency to RGB?
Does anyone know of any formula for converting a light frequency to an RGB value?
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jQuery animate backgroundColor
I am trying to animate a change in backgroundColor using jQuery on mouseover.
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how does multiplication differ for NumPy Matrix vs Array classes?
The numpy docs recommend using array instead of matrix for working with matrices. However, unlike octave (which I was using till recently), * doesn't perform matrix multiplication, you need to use the function matrixmultipy(). I feel this makes the code very unreadable.
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Bomb dropping algorithm
I have an n x m matrix consisting of non-negative integers. For example:
32 Answers
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List of zeros in python [duplicate]
How can I create a list which contains only zeros? I want to be able to create a zeros list for each int in range(10)
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