Pandas index column title or name

Question

How do I get the index column name in python pandas   Here s an example dataframe                Column 1 Index Title           Apples              1 Oranges             2 Puppies             3 Ducks               4     What I m trying to do is get set the dataframe index title   Here is what i tried   import pandas as pd data     Column 1         1   2   3   4             Index Title       Apples    Oranges    Puppies    Ducks    df   pd DataFrame data  df index   df  Index Title   del df  Index Title   print df   Anyone know how to do this

User · Answer

df index name should do the trick   Python has a dir function that let s you query object attributes  dir df index  was helpful here

User · Answer

You can just get set the index via its name property  In  7   df index name Out 7    Index Title   In  8   df index name    foo   In  9   df index name Out 9    foo   In  10   df Out 10             Column 1 foo               Apples          1 Oranges         2 Puppies         3 Ducks           4

User · Answer

Use df index rename  foo   inplace True  to set the index name    Seems this api is available since pandas 0 13

User · Answer

If you do not want to create a new row but simply put it in the empty cell then use   df columns name    foo    Otherwise use    df index name    foo

User · Answer

df columns values also give us the column names

User · Answer

The solution for multi-indexes is inside jezrael s cyclopedic answer  but it took me a while to find it so I am posting a new answer   df index names gives the names of a multi-index  as a Frozenlist

User · Answer

You can use rename axis  for removing set to None   d     Index Title     Apples    Oranges    Puppies    Ducks    Column 1    1 0  2 0  3 0  4 0   df   pd DataFrame d  set index  Index Title   print  df               Column 1 Index Title           Apples            1 0 Oranges           2 0 Puppies           3 0 Ducks             4 0  print  df index name  Index Title  print  df columns name  None     The new functionality works well in method chains   df   df rename axis  foo   print  df           Column 1 foo               Apples        1 0 Oranges       2 0 Puppies       3 0 Ducks         4 0   You can also rename column names with parameter axis   d     Index Title     Apples    Oranges    Puppies    Ducks    Column 1    1 0  2 0  3 0  4 0   df   pd DataFrame d  set index  Index Title   rename axis  Col Name   axis 1  print  df  Col Name     Column 1 Index Title           Apples            1 0 Oranges           2 0 Puppies           3 0 Ducks             4 0  print  df index name  Index Title  print  df columns name  Col Name     print df rename axis  foo   rename axis  bar   axis  columns   bar      Column 1 foo               Apples        1 0 Oranges       2 0 Puppies       3 0 Ducks         4 0  print df rename axis  foo   rename axis  bar   axis 1  bar      Column 1 foo               Apples        1 0 Oranges       2 0 Puppies       3 0 Ducks         4 0   From version pandas 0 24 0  is possible use parameter index and columns   df   df rename axis index  foo   columns  bar   print  df  bar      Column 1 foo               Apples        1 0 Oranges       2 0 Puppies       3 0 Ducks         4 0   Removing index and columns names means set it to None   df   df rename axis index None  columns None  print  df           Column 1 Apples        1 0 Oranges       2 0 Puppies       3 0 Ducks         4 0     If MultiIndex in index only   mux   pd MultiIndex from arrays    Apples    Oranges    Puppies    Ducks                                      list  abcd                                        names   index name 1   index name 1      df   pd DataFrame np random randint 10  size  4 6                       index mux                     columns list  ABCDEF    rename axis  col name   axis 1  print  df  col name                   A  B  C  D  E  F index name 1 index name 1                   Apples       a             5  4  0  5  2  2 Oranges      b             5  8  2  5  9  9 Puppies      c             7  6  0  7  8  3 Ducks        d             6  5  0  1  6  0     print  df index name  None  print  df columns name  col name  print  df index names    index name 1    index name 1    print  df columns names    col name       df1   df rename axis   foo   bar    print  df1  col name     A  B  C  D  E  F foo     bar                   Apples  a    5  4  0  5  2  2 Oranges b    5  8  2  5  9  9 Puppies c    7  6  0  7  8  3 Ducks   d    6  5  0  1  6  0  df2   df rename axis  baz   axis 1  print  df2  baz                        A  B  C  D  E  F index name 1 index name 1                   Apples       a             5  4  0  5  2  2 Oranges      b             5  8  2  5  9  9 Puppies      c             7  6  0  7  8  3 Ducks        d             6  5  0  1  6  0  df2   df rename axis index   foo   bar    columns  baz   print  df2  baz          A  B  C  D  E  F foo     bar                   Apples  a    5  4  0  5  2  2 Oranges b    5  8  2  5  9  9 Puppies c    7  6  0  7  8  3 Ducks   d    6  5  0  1  6  0   Removing index and columns names means set it to None   df2   df rename axis index  None None   columns None  print  df2              A  B  C  D  E  F Apples  a  6  9  9  5  4  6 Oranges b  2  6  7  4  3  5 Puppies c  6  3  6  3  5  1 Ducks   d  4  9  1  3  0  5     For MultiIndex in index and columns is necessary working with  names instead  name and set by list or tuples   mux1   pd MultiIndex from arrays    Apples    Oranges    Puppies    Ducks                                      list  abcd                                        names   index name 1   index name 1      mux2   pd MultiIndex from product  list  ABC                                      list  XY                                        names   col name 1   col name 2     df   pd DataFrame np random randint 10  size  4 6    index mux1  columns mux2  print  df  col name 1                 A     B     C    col name 2                 X  Y  X  Y  X  Y index name 1 index name 1                   Apples       a             2  9  4  7  0  3 Oranges      b             9  0  6  0  9  4 Puppies      c             2  4  6  1  4  4 Ducks        d             6  6  7  1  2  8   Plural is necessary for check set values   print  df index name  None  print  df columns name  None  print  df index names    index name 1    index name 1    print  df columns names    col name 1    col name 2       df1   df rename axis   foo   bar    print  df1  col name 1   A     B     C    col name 2   X  Y  X  Y  X  Y foo     bar                   Apples  a    2  9  4  7  0  3 Oranges b    9  0  6  0  9  4 Puppies c    2  4  6  1  4  4 Ducks   d    6  6  7  1  2  8  df2   df rename axis   baz   bak    axis 1  print  df2  baz                        A     B     C    bak                        X  Y  X  Y  X  Y index name 1 index name 1                   Apples       a             2  9  4  7  0  3 Oranges      b             9  0  6  0  9  4 Puppies      c             2  4  6  1  4  4 Ducks        d             6  6  7  1  2  8  df2   df rename axis index   foo   bar    columns   baz   bak    print  df2  baz          A     B     C    bak          X  Y  X  Y  X  Y foo     bar                   Apples  a    2  9  4  7  0  3 Oranges b    9  0  6  0  9  4 Puppies c    2  4  6  1  4  4 Ducks   d    6  6  7  1  2  8   Removing index and columns names means set it to None   df2   df rename axis index  None None   columns  None None   print  df2              A     B     C               X  Y  X  Y  X  Y Apples  a  2  0  2  5  2  0 Oranges b  1  7  5  5  4  8 Puppies c  2  4  6  3  6  5 Ducks   d  9  6  3  9  7  0   And  Jeff solution   df index names     foo   bar   df columns names     baz   bak   print  df   baz          A     B     C    bak          X  Y  X  Y  X  Y foo     bar                   Apples  a    3  4  7  3  3  3 Oranges b    1  2  5  8  1  0 Puppies c    9  6  3  9  6  3 Ducks   d    3  2  1  0  1  0

User · Answer

Setting the index name can also be accomplished at creation   pd DataFrame data   age    10 20 30    height    100  170  175    index pd Series   a    b    c    name  Tag

User · Answer

To just get the index column names df index names will work for both a single Index or MultiIndex as of the most recent version of pandas   As someone who found this while trying to find the best way to get a list of index names   column names  I would have found this answer useful   names   list filter None  df index names   df columns values tolist       This works for no index  single column Index  or MultiIndex  It avoids calling reset index   which has an unnecessary performance hit for such a simple operation  I m surprised there isn t a built in method for this  that I ve come across   I guess I run into needing this more often because I m shuttling data from databases where the dataframe index maps to a primary unique key  but is really just another column to me

[python] Pandas index column title or name

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