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

Stumbled onto this question while looking for a quick and minimalistic snippet I could use. Had to assemble one myself from posts above. Maybe someone will find it useful:

data_frame_trimmed = data_frame.apply(lambda x: x.str.strip() if x.dtype == "object" else x)

Answer 2

This worked for me - applies it to the whole dataframe:

def panda_strip(x):
    r =[]
    for y in x:
        if isinstance(y, str):
            y = y.strip()

        r.append(y)
    return pd.Series(r)

df = df.apply(lambda x: panda_strip(x))