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Showing posts with the label Structured Array

Constructing Np.array With Overlapping Fields In Dtype

I have a dtype as follows: pose_dtype = np.dtype([('x', np.float64), ('y', np.float… Read more Constructing Np.array With Overlapping Fields In Dtype

Is The Mask Of A Structured Array Supposed To Be Structured Itself?

I was looking into numpy issue 2972 and several related problems. It turns out that all those prob… Read more Is The Mask Of A Structured Array Supposed To Be Structured Itself?

Numpy: How To Add A Column To An Existing Structured Array?

I have a starting array such as: [(1, [-112.01268501699997, 40.64249414272372]) (2, [-111.86145708… Read more Numpy: How To Add A Column To An Existing Structured Array?

Convert Structured Array With Various Numeric Data Types To Regular Array

Suppose I have a NumPy structured array with various numeric datatypes. As a basic example, my_dat… Read more Convert Structured Array With Various Numeric Data Types To Regular Array

Filter Numpy Structured Array Based On Multiple Values

I have a numpy structured array. : myArray = np.array([(1, 1, 1, u'Zone3', 9.223), … Read more Filter Numpy Structured Array Based On Multiple Values

Truly Recursive `tolist()` For NumPy Structured Arrays

From what I understand, the recommended way to convert a NumPy array into a native Python list is t… Read more Truly Recursive `tolist()` For NumPy Structured Arrays