DataFrame.iterrows

以(index, Series)遍历DataFrame的行。

Yields

index 行的索引。MultiIndex的元组
data 行的数据，作为一个Series 
  1. import pandas as pd
  3. df = pd.DataFrame({'site':['google', 'baidu', 'wiki', 'pandas'],
  4.                     'age':[18, 39, 22, 45],
  5.                     'price': [1.0, 2.0, 3.0, 4.0],
  6.                     'color': ['red', 'black', 'blue', 'red']}, index=['first', 'second', 'third', 'forth'])
  8. for index, row in df.iterrows():
  9.     print(index)
  10.     print(row)
  11. -------------------------------------------
  12. first
  13. site     google
  14. age          18
  15. price         1
  16. color       red
  17. Name: first, dtype: object
  18. second
  19. site     baidu
  20. age         39
  21. price        2
  22. color    black
  23. Name: second, dtype: object
  24. third
  25. site     wiki
  26. age        22
  27. price       3
  28. color    blue
  29. Name: third, dtype: object
  30. forth
  31. site     pandas
  32. age          45
  33. price         4
  34. color       red
  35. Name: forth, dtype: object