python Programming Glossary: float32

http://stackoverflow.com/questions/10364201/image-transformation-in-opencv

0 for ar in grid_z .reshape 150 150 map_x_32 map_x.astype 'float32' map_y_32 map_y.astype 'float32' orig cv2.imread tmp.png warped.. 150 map_x_32 map_x.astype 'float32' map_y_32 map_y.astype 'float32' orig cv2.imread tmp.png warped cv2.remap orig map_x_32 map_y_32.. dense mappings. We just need to convert to the values to float32 as OpenCV complains about the float64 type. Please let me know..

Is it possible to map a discontiuous data on disk to an array with python?

http://stackoverflow.com/questions/16515465/is-it-possible-to-map-a-discontiuous-data-on-disk-to-an-array-with-python

unformatted files. The data stored in record is a 1024^3 3 float32 array 12Gb . The record layout of variable length records that..

2d convolution using python and numpy

http://stackoverflow.com/questions/2448015/2d-convolution-using-python-and-numpy

rows and H_c for the columns data np.zeros nr nc dtype np.float32 #fill array with some data here then convolve for r in range.. code look OK I think the problem is with the casting from float32 to 8bit. Whats the best way to do this Thanks python numpy..

In-place type conversion of a NumPy array

http://stackoverflow.com/questions/4389517/in-place-type-conversion-of-a-numpy-array

array Given a NumPy array of int32 how do I convert it to float32 in place So basically I would like to do a a.astype numpy.float32.. in place So basically I would like to do a a.astype numpy.float32 without copying the array. It is big. The reason for doing this.. returns an array of int32 the other returns an array of float32 and this is inherent to the two different algorithms . All further..

Python: Making numpy default to float32

http://stackoverflow.com/questions/5721831/python-making-numpy-default-to-float32

Making numpy default to float32 Is there any clean way of setting numpy to use float32 values.. to float32 Is there any clean way of setting numpy to use float32 values instead of float64 globally python numpy numbers share.. you call the constructor for any array or cast an array to float32 use the ndarray.astype method before passing it to your GPU..

numpy float: 10x slower than builtin in arithmetic operations?

http://stackoverflow.com/questions/5956783/numpy-float-10x-slower-than-builtin-in-arithmetic-operations

is uncommented before execution #s np.float64 1 #s np.float32 1 #s 1.0 for i in range 10000000 s s 8 s 2399232 print s print.. ' datetime.now START_TIME The timings are float64 16.1s float32 16.1s float 3.2s Now both np floats either 64 or 32 are 5 times.. is uncommented before execution #s np.float64 1 #s np.float32 1 #s 1.0 for i in range 10000000 s s 8 s 2399232 print s print..

Convert structured array to regular NumPy array

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

asarray and astype but that didn't work. UPDATE solved float32 f4 instead of float64 f8 OK I tried the solution of Robert x.view..

NumPy vs. multiprocessing and mmap

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

0.57735026 0.57735026 0. 0. 0. 0. 0. 0. 0. 0. 0. dtype float32 ignored in the unittest logs. The tests pass fine nevertheless...