pandas-fromdataframe-strings.py 1.1 KB

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  1. # Benchmark for evaluate best ways to convert from a pandas dataframe
  2. # (version with a mix of columns of ints and strings)
  3. import sys
  4. import bcolz
  5. import pandas as pd
  6. from time import time
  7. PY2 = sys.version_info[0] == 2
  8. if not PY2:
  9. xrange = range
  10. def range(*args):
  11. return list(xrange(*args))
  12. NR = int(1e4)
  13. NC = 100
  14. #bcolz.cparams.setdefaults(clevel=0)
  15. print("Creating inputs...")
  16. a = bcolz.arange(NR, dtype='i4')
  17. s = bcolz.fromiter(("%d"%i for i in xrange(NR)), dtype='S7', count=NR)
  18. df = pd.DataFrame.from_items((
  19. ('f%d'%i, a[:] if i < (NC//2) else s[:]) for i in range(NC)))
  20. dsize = (NR * (NC//2) * (a.dtype.itemsize + s.dtype.itemsize)) / 2. ** 20
  21. print("Performing benchmarks...")
  22. # # Using an iterator (will get objects)
  23. # t0 = time()
  24. # names = list(df.columns.values)
  25. # t = bcolz.ctable([df[key] for key in names], names)
  26. # tt = time() - t0
  27. # print("time with constructor: %.2f (%.2f MB/s)" % (tt, dsize / tt))
  28. # print(repr(t.dtype))
  29. # Using generic implementation
  30. t0 = time()
  31. t = bcolz.ctable.fromdataframe(df)
  32. tt = time() - t0
  33. print("time with fromdataframe: %.2f (%.2f MB/s)" % (tt, dsize / tt))
  34. print(t.dtype)