Group by consecutive index numbers

Question

I was wondering if there is a way to groupby consecutive index numbers and move the groups in different columns. Here is an example of the DataFrame I\'m using:

Answer 1

Create a new pandas.Series with a new pandas.MultiIndex

a = pd.factorize(df.index - np.arange(len(df)))[0]
b = df.groupby(a).cumcount()

pd.Series(df['0'].to_numpy(), [b, a]).unstack()

              0             1
0  19218.965703  19279.216956
1  19247.621650  19330.087371
2  19232.651322  19304.316973

---

Similar but with more Numpy

a = pd.factorize(df.index - np.arange(len(df)))[0]
b = df.groupby(a).cumcount()

c = np.empty((b.max() + 1, a.max() + 1), float)
c.fill(np.nan)
c[b, a] = np.ravel(df)
pd.DataFrame(c)

              0             1
0  19218.965703  19279.216956
1  19247.621650  19330.087371
2  19232.651322  19304.316973