Hide keyboard shortcuts

Hot-keys on this page

r m x p   toggle line displays

j k   next/prev highlighted chunk

0   (zero) top of page

1   (one) first highlighted chunk

1""" 

2@file 

3@brief Command line about exporting :epkg:`asv` results into a dataframe. 

4""" 

5from datetime import datetime 

6from ..asv_benchmark.asv_exports import enumerate_export_asv_json 

7 

8 

9def asv2csv(folder, outfile=None, last_one=False, baseline=None, 

10 conf=None, fLOG=print): 

11 """ 

12 Converts results produced by :epkg:`asv` into :epkg:`csv`. 

13 

14 :param folder: folder where the results are 

15 :param outfile: output the results into :epkg:`csv` 

16 :param last_one: converts only the last report into csv 

17 :param baseline: baseline usually ``'skl'``, if not empty, 

18 computes ratios 

19 :param conf: test configuration, to retrieve more metadata 

20 :param fLOG: logging function 

21 

22 .. cmdref:: 

23 :title: Converts asv results into csv 

24 :cmd: -m mlprodict asv2csv--help 

25 :lid: l-cmd-asv2csv 

26 

27 The command converts :epkg:`asv` results into :epkg:`csv`. 

28 

29 Example:: 

30 

31 python -m mlprodict asv2csv -f <folder> -o result.csv 

32 

33 The filename may contain ``<date>``, it is then replaced by 

34 the time now. 

35 """ 

36 iter_rows = enumerate_export_asv_json( 

37 folder, last_one=last_one, baseline=baseline, conf=conf) 

38 

39 if outfile is None: 

40 rows = [] 

41 for row in iter_rows: 

42 fLOG(row) 

43 rows.append(row) 

44 return rows 

45 

46 import pandas 

47 df = pandas.DataFrame(iter_rows) 

48 outfile = outfile.replace( 

49 "<date>", 

50 datetime.now().strftime("%Y%m%dT%H%M%S")) 

51 df.to_csv(outfile, index=False) 

52 return df