Vectorized DataFrame Python-pandas?

Question

I'm trying to figure out how to print a row given a known entry in a column within my data frame much like this question. However, this wasn't working for my DataFrame.

In [10]: df
Out[10:
   A   B   C   D
0  a   b   c   d
1  t   f   h   e
2  j   r   y   k

In [11]: df[df['A'].str.contains('t')]

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-11-618e00d5bb36> in <module>()
----> 1 df[df['A'].str.contains('t')]

AttributeError: 'Series' object has no attribute 'str'

Just to try and clarify my goal, say I know 't' is in my DataFrame somewhere and I also know it resides within column A, is there a search option that will print out the entire row it is located within?

Why am I getting this error?

In what way does df[df['A'].str.contains("t")] (from that question) not work?? — Andy Hayden
– Andy Hayden, Commented May 16, 2013 at 6:32
Comments on the deleted answer showed that this wasn't working since the OP was using an old version of pandas (0.8), and an upgrade (to 0.11) fixed it. — Andy Hayden
– Andy Hayden, Commented May 16, 2013 at 9:02

Andy Hayden · Accepted Answer · 2013-05-16 12:45:38Z

1

Vectorized string methods were introduced in pandas 0.9 (so it isn't available as a Series method in version you're using: 0.8). Refresh your pandas to the latest stable version for the latest and greatest features.

answered May 16, 2013 at 12:45

Andy Hayden

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