Are Decimal ‘dtypes’ available in NumPy?

by

NumPy doesn’t recognize decimal.Decimal as a specific type. The closest it can get is the most general dtype, object. So when converting the elements to the desired dtype, the conversion is a no operation.

>>> ss.dtype
dtype('object')

Keep in mind that because the elements of the array are Python objects, you won’t get much of a speedup using them. For example, if you try to add this to any other array, the other elements will have to be boxed back into Python objects and added via the normal Python addition code. You might gain some speed in that the iteration will be in C, but not that much.

More Related Contents:

  1. What are the advantages of NumPy over regular Python lists?
  2. What is the difference between contiguous and non-contiguous arrays?
  3. Automatically import modules when entering the python or ipython interpreter
  4. Plotting a fast Fourier transform in Python
  5. How to create a density plot in matplotlib?
  6. How to do n-D distance and nearest neighbor calculations on numpy arrays
  7. Scikit Learn SVC decision_function and predict
  8. How can I take the square root of -1 using python?
  9. Performance: Matlab vs Python
  10. Filtering a list based on a list of booleans
  11. Input and output numpy arrays to h5py
  12. Efficiently sorting a numpy array in descending order?
  13. Running maximum of numpy array values
  14. How to use sklearn fit_transform with pandas and return dataframe instead of numpy array?
  15. 3-dimensional array in numpy
  16. What is the most efficient way to check if a value exists in a NumPy array?
  17. numpy array TypeError: only integer scalar arrays can be converted to a scalar index
  18. ImportError: DLL load failed when importing Numpy installed in conda virtual environment
  19. Efficient dot products of large memory-mapped arrays
  20. mean from pandas and numpy differ
  21. NumPy – What is the difference between frombuffer and fromstring?
  22. Fast Way to slice image into overlapping patches and merge patches to image
  23. Is there a MATLAB accumarray equivalent in numpy?
  24. Generate random locations within a triangular domain
  25. How to smooth a curve for a dataset
  26. Why does numpy.histogram (Python) leave off one element as compared to hist in Matlab?
  27. How can I make a numpy ndarray from bytes?
  28. sparse 3d matrix/array in Python?
  29. Numpy.Array in Python list?
  30. Numpy equivalent of itertools.product [duplicate]

Leave a Comment