DataFrame.items

以(column name, Series)方式遍历DataFrame的列。

Yields

label 被迭代的DataFrame的列名
content 每个标签的列条目，作为一个Series

Example

  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'])
  7. for label, col in df.items():
  8.     print(label)
  9.     print(col)
  10. --------------------------------------------------------------------
  11. site
  12. first     google
  13. second     baidu
  14. third       wiki
  15. forth     pandas
  16. Name: site, dtype: object
  17. age
  18. first     18
  19. second    39
  20. third     22
  21. forth     45
  22. Name: age, dtype: int64
  23. price
  24. first     1.0
  25. second    2.0
  26. third     3.0
  27. forth     4.0
  28. Name: price, dtype: float64
  29. color
  30. first       red
  31. second    black
  32. third      blue
  33. forth       red
  34. Name: color, dtype: object