NumPy array/matrix of mixed types

by

Your problem is in the data. Try this:

res = np.array(("TEXT", 1, 1), dtype="|S4, i4, i4")

or

res = np.array([("TEXT", 1, 1), ("XXX", 2, 2)], dtype="|S4, i4, i4")

The data has to be a tuple or a list of tuples. Not quite evident form the error message, is it?

Also, please note that the length of the text field has to be specified for the text data to really be saved. If you want to save the text as objects (only references in the array, then:

res = np.array([("TEXT", 1, 1), ("XXX", 2, 2)], dtype="object, i4, i4")

This is often quite useful, as well.

More Related Contents:

  1. What are the differences between numpy arrays and matrices? Which one should I use?
  2. numpy matrix vector multiplication [duplicate]
  3. Numpy matrix to array
  4. how does multiplication differ for NumPy Matrix vs Array classes?
  5. Convert a 1D array to a 2D array in numpy
  6. how to perform max/mean pooling on a 2d array using numpy
  7. Why does numpy.linalg.solve() offer more precise matrix inversions than numpy.linalg.inv()?
  8. Convert row vector to column vector in NumPy
  9. Numpy select rows based on condition
  10. Is there a NumPy function to return the first index of something in an array?
  11. Understanding NumPy’s einsum
  12. Is there any numpy group by function?
  13. Computing the correlation coefficient between two multi-dimensional arrays
  14. Removing nan values from an array
  15. Why is numpy’s einsum faster than numpy’s built in functions?
  16. How to return 0 with divide by zero
  17. Reshape an array in NumPy
  18. Most efficient way to forward-fill NaN values in numpy array
  19. NumPy array initialization (fill with identical values)
  20. Why does numpy.zeros takes up little space
  21. Generalise slicing operation in a NumPy array
  22. Efficiently Calculating a Euclidean Distance Matrix Using Numpy
  23. Parameters to numpy’s fromfunction
  24. List to array conversion to use ravel() function
  25. Fastest save and load options for a numpy array
  26. numpy division with RuntimeWarning: invalid value encountered in double_scalars
  27. numpy – evaluate function on a grid of points
  28. numpy arange: how to make “precise” array of floats?
  29. Interweaving two NumPy arrays efficiently
  30. How to convert a 3d numpy array to 2d

Leave a Comment