pandas: convert index type in multiindex dataframe

Question

Hi have a multiindex dataframe:

tuples = [(\'YTA_Q3\', 1), (\'YTA_Q3\', 2), (\'YTA_Q3\', 3), (\'YTA_Q3\', 4), (\'YTA_Q3\', 99), (\'YTA_Q3\', 96)]
# Index
ind         


        

Answer 1

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()])

Answer 2

There was change in pandas and old way doesn't work properly.

For me this worked.

level_to_change = 1
df.index = df.index.set_levels(df.index.levels[level_to_change].astype(int), level=level_to_change)

Answer 3

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.index
df1.index = df1.index.set_levels([idx.levels[:-1], idx.levels[-1].astype(str)])