quickest way to swap index with values

pandas, python

Solution

One posible solution is swap keys and values by:

s1 = pd.Series(dict((v,k) for k,v in s.iteritems()))
print (s1)
a    A
b    B
c    C
d    D
e    E
f    F
g    G
h    H
i    I
j    J
dtype: object

Another the fastest:

print (pd.Series(s.index.values, index=s ))
a    A
b    B
c    C
d    D
e    E
f    F
g    G
h    H
i    I
j    J
dtype: object

Timings:

In [63]: %timeit pd.Series(dict((v,k) for k,v in s.iteritems()))
The slowest run took 6.55 times longer than the fastest. This could mean that an intermediate result is being cached.
10000 loops, best of 3: 146 µs per loop

In [71]: %timeit (pd.Series(s.index.values, index=s ))
The slowest run took 7.42 times longer than the fastest. This could mean that an intermediate result is being cached.
10000 loops, best of 3: 102 µs per loop

If length of `Series` is `1M`:

s = pd.Series(list('abcdefghij'), list('ABCDEFGHIJ'))
s = pd.concat([s]*1000000).reset_index(drop=True)
print (s)

In [72]: %timeit (pd.Series(s.index, index=s ))
10000 loops, best of 3: 106 µs per loop

In [229]: %timeit pd.Series(dict((v,k) for k,v in s.iteritems()))
1 loop, best of 3: 1.77 s per loop

In [230]: %timeit (pd.Series(s.index, index=s ))
10 loops, best of 3: 130 ms per loop

In [231]: %timeit (pd.Series(s.index.values, index=s ))
10 loops, best of 3: 26.5 ms per loop

Problem

Original source