pandas: convert index type in multiindex dataframe
IIUC you need the last level of Multiindex. You could access it with levels:
df1.index.levels[-1].astype(str)In [584]: df1.index.levels[-1].astype(str)Out[584]: Index(['1', '2', '3', '4', '96', '99'], dtype='object', name='Values')EDIT
You could set your inner level with set_levels method of multiIndex:
idx = df1.indexdf1.index = df1.index.set_levels([idx.levels[:-1], idx.levels[-1].astype(str)])
There was change in pandas and old way doesn't work properly.
For me this worked.
level_to_change = 1df.index = df.index.set_levels(df.index.levels[level_to_change].astype(int), level=level_to_change)
I find the current pandas implementation a bit cumbersome, so I use this:
df1.index = pd.MultiIndex.from_tuples([(ix[0], str(ix[1])) for ix in df1.index.tolist()])