How to use python numpy.savetxt to write strings and float number to an ASCII file?

by

You have to specify the format (fmt) of you data in savetxt, in this case as a string (%s):

num.savetxt('test.txt', DAT, delimiter=" ", fmt="%s")

The default format is a float, that is the reason it was expecting a float instead of a string and explains the error message.

More Related Contents:

  1. How to create a list of list from the given input? [closed]
  2. How to find all occurrences of an element in a list
  3. What are the advantages of NumPy over regular Python lists?
  4. List of lists into numpy array
  5. Find nearest indices for one array against all values in another array – Python / NumPy
  6. Convert NumPy array to Python list
  7. What is the inverse function of zip in python? [duplicate]
  8. Python Array Slice With Comma?
  9. python pandas flatten a dataframe to a list
  10. How to convert list of numpy arrays into single numpy array?
  11. List to array conversion to use ravel() function
  12. How to remove square brackets from list in Python? [duplicate]
  13. Numpy individual element access slower than for lists
  14. Filtering a list based on a list of booleans
  15. Index all *except* one item in python
  16. How to display progress of scipy.optimize function?
  17. How to access a column in a list of lists in python
  18. How can I turn a flat list into a 2D array in python?
  19. Matplotlib log scale tick label number formatting
  20. python filter list of dictionaries based on key value
  21. How do I remove duplicates from a list, while preserving order?
  22. Working with TIFFs (import, export) in Python using numpy
  23. Shift elements in a numpy array
  24. N-D version of itertools.combinations in numpy
  25. python recursive vectorization with timeseries
  26. How can I make a dictionary (dict) from separate lists of keys and values?
  27. Flattening a list of NumPy arrays?
  28. Is there an analysis speed or memory usage advantage to using HDF5 for large array storage (instead of flat binary files)?
  29. flatten list of list through list comprehension
  30. pylab.hist(data, normed=1). Normalization seems to work incorrect

Leave a Comment