RangeIndex with non-integer step

Question

Is there a pandas Index subclass like RangeIndex that allows non-integer step sizes? Something like:

import pandas as pd
pd.RangeIndex(start=0, stop=10, step=.1)  # TypeError: Wrong type <class 'float'> for value 0.1

The classes listed in the docs do not appear adequate. IntervalIndex handles arbitrary ranges but does not explicitly store a step size (which I intend to access later in my code).

Answer 1

You want to have a Float64Index , there is however no parameter to define the start/stop/step.

Best is likely to use numpy.arange :

idx = pd.Index(np.arange(0,10,0.1))

output (rounded for display):

Float64Index([ 0.0,  0.0,  0.0,  0.0,  0.0,  0.0,  1.0,  1.0,  1.0,  1.0,  1.0,
               1.0,  1.0,  1.0,  1.0,  2.0,  2.0,  2.0,  2.0,  2.0,  2.0,  2.0,
               2.0,  2.0,  2.0,  2.0,  3.0,  3.0,  3.0,  3.0,  3.0,  3.0,  3.0,
               3.0,  3.0,  4.0,  4.0,  4.0,  4.0,  4.0,  4.0,  4.0,  4.0,  4.0,
               4.0,  4.0,  5.0,  5.0,  5.0,  5.0,  5.0,  5.0,  5.0,  5.0,  5.0,
               6.0,  6.0,  6.0,  6.0,  6.0,  6.0,  6.0,  6.0,  6.0,  6.0,  6.0,
               7.0,  7.0,  7.0,  7.0,  7.0,  7.0,  7.0,  7.0,  7.0,  8.0,  8.0,
               8.0,  8.0,  8.0,  8.0,  8.0,  8.0,  8.0,  8.0,  8.0,  9.0,  9.0,
               9.0,  9.0,  9.0,  9.0,  9.0,  9.0,  9.0, 10.0, 10.0, 10.0, 10.0,
              10.0],
             dtype='float64')