Reputation: 637
What is the fastest way to convert a pandas column to one concatenated string?
For example, if df['col1']
contained the below:
col1
word1
word2
word3
What is the ideal way to return 'word1 word2 word3'
?
Upvotes: 0
Views: 159
Reputation: 76917
Option 1] Use str.cat
In [3761]: df.col1.str.cat(sep=' ')
Out[3761]: 'word1 word2 word3'
Option 2] Use join
In [3763]: ' '.join(df.col1)
Out[3763]: 'word1 word2 word3'
Instead use list
which is faster in this case.
In [3794]: ' '.join(df.col1.values.tolist())
Out[3794]: 'word1 word2 word3'
In [3795]: df.col1.values.tolist()
Out[3795]: ['word1', 'word2', 'word3']
Timings
Mid-size
In [3769]: df.shape
Out[3769]: (30000, 1)
In [3770]: %timeit df.col1.str.cat(sep=' ')
100 loops, best of 3: 2.71 ms per loop
In [3771]: %timeit ' '.join(df.col1)
1000 loops, best of 3: 796 µs per loop
In [3788]: %timeit ' '.join(df.col1.values.tolist())
1000 loops, best of 3: 492 µs per loop
Large-size
In [3774]: df.shape
Out[3774]: (300000, 1)
In [3775]: %timeit df.col1.str.cat(sep=' ')
10 loops, best of 3: 29.7 ms per loop
In [3776]: %timeit ' '.join(df.col1)
100 loops, best of 3: 9.22 ms per loop
In [3791]: %timeit ' '.join(df.col1.values.tolist())
100 loops, best of 3: 6.69 ms per loop
' '.join(df.col1.values.tolist())
is much faster than df.col1.str.cat(sep=' ')
Upvotes: 3