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python Programming Glossary: np.float

Cython and numpy speed

http://stackoverflow.com/questions/1199972/cython-and-numpy-speed

numpy as np cimport numpy as np cimport cython FTYPE np.float ctypedef np.float_t FTYPE_t @cython.boundscheck False def delay.. cimport numpy as np cimport cython FTYPE np.float ctypedef np.float_t FTYPE_t @cython.boundscheck False def delay np.ndarray FTYPE_t..

Converting empty strings to 0 using Numpy

http://stackoverflow.com/questions/15936732/converting-empty-strings-to-0-using-numpy

numpy The ultimate goal is to be able to run this S.astype np.float but I suspect the empty strings are causing problems in the..

Scipy interpolation on a numpy array

http://stackoverflow.com/questions/3057015/scipy-interpolation-on-a-numpy-array

these into arrays of x y coords xi np.array x1 x2 x3 dtype np.float yi np.array y1 y2 y3 dtype np.float # Now we'll set points outside.. x1 x2 x3 dtype np.float yi np.array y1 y2 y3 dtype np.float # Now we'll set points outside the boundaries to lie along an..

Resampling irregularly spaced data to a regular grid in Python

http://stackoverflow.com/questions/3864899/resampling-irregularly-spaced-data-to-a-regular-grid-in-python

coordinate system def normalize_x data data data.astype np.float return data xmin xmax xmin def normalize_y data data data.astype.. data xmin xmax xmin def normalize_y data data data.astype np.float return data ymin ymax ymin x_new xi_new normalize_x x normalize_x..

How can I improve my paw detection?

http://stackoverflow.com/questions/4087919/how-can-i-improve-my-paw-detection

break data.append line return time np.array data dtype np.float if __name__ '__main__' animate 'Overlapping paws.bin' animate..

Using strides for an efficient moving average filter

http://stackoverflow.com/questions/4936620/using-strides-for-an-efficient-moving-average-filter

2 i return a filtsize 3 3 a np.zeros 10 10 dtype np.float a 5 7 5 1 b rolling_window a filtsize blurred b.mean axis 1..

Python/Scipy 2D Interpolation (Non-uniform Data)

http://stackoverflow.com/questions/5146025/python-scipy-2d-interpolation-non-uniform-data

0.35260 0.61210 0.63510 0.71180 0.73090 1.00000 dtype np.float yi np.array 0.000 0.167 0.815 1.000 dtype np.float print sp.. dtype np.float yi np.array 0.000 0.167 0.815 1.000 dtype np.float print sp xi yi As another way of visualizing this the array.. 0.3379 0.3526 0.6121 0.6351 0.7118 0.7309 1.0000 dtype np.float yi array 0.000 0.175 0.818 1.000 dtype np.float GD interpolate.griddata..

Convert structured array to regular NumPy array

http://stackoverflow.com/questions/5957380/convert-structured-array-to-regular-numpy-array

of float64 f8 OK I tried the solution of Robert x.view np.float64 .reshape x.shape 1 and with a simple array it works perfectly... 'TCc' ' f4' 'Vcmax_3' ' f4' and then data_array data.view np.float .reshape data.shape 1 gives In 8 data_array Out 8 array 2.28080997e.. 1.0 4.0 2.0 1.0 dtype 'f0' ' f8' 'f1' ' f8' ~ 6 x.view np.float64 .reshape x.shape 1 array 1. 4. 2. 1. share improve this..

Multivariate spline interpolation in python/scipy?

http://stackoverflow.com/questions/6238250/multivariate-spline-interpolation-in-python-scipy

the array as floats data np.arange 40 .reshape 8 5 .astype np.float # I'm writing these as row column pairs for clarity... coords.. import ndimage data np.arange 3 5 9 .reshape 3 5 9 .astype np.float coords np.array 1.2 3.5 7.8 0.5 0.5 6.8 zi ndimage.map_coordinates..

How to convert pointer to c array to python array

http://stackoverflow.com/questions/7543675/how-to-convert-pointer-to-c-array-to-python-array

as in your question but faster a np.fromiter Data dtype np.float count DataLength.value # copy To create a numpy array from POINTER..

NumPy vs. multiprocessing and mmap

http://stackoverflow.com/questions/9964809/numpy-vs-multiprocessing-and-mmap

multiprocessing def main data np.memmap 'data.dat' dtype np.float mode 'r' pool multiprocessing.Pool results pool.imap calculation.. calculation chunks data results np.fromiter results dtype np.float def chunks data chunksize 100 Overly simple chunker... intervals.. multiprocessing def main data np.memmap 'data.dat' dtype np.float mode 'r' pool multiprocessing.Pool results pool.imap calculation..