Pythonic/efficient way to strip whitespace from every Pandas Data frame cell that has a stringlike object in it

Question

I\'m reading a CSV file into a DataFrame. I need to strip whitespace from all the stringlike cells, leaving the other cells unchanged in Python 2.7.

Here is what I\

Answer 1

You could use pandas' Series.str.strip() method to do this quickly for each string-like column:

>>> data = pd.DataFrame({'values': ['   ABC   ', '   DEF', '  GHI  ']})
>>> data
      values
0     ABC   
1        DEF
2      GHI  

>>> data['values'].str.strip()
0    ABC
1    DEF
2    GHI
Name: values, dtype: object