熊猫使用索引名称作为列名称创建数据框

Question

I have an existing dataframe with column name and data. I want to change index.name for dataframe to be column's name. I am confused about multi - indexing how do I do that? Because then I need to pass that dataframe to the to_sql function which considers index as name of column for table.

Currently for me dataframe.index is RangeIndex(start=0, stop=1669, step=1)

and dataframe.index.name is None

I have done as follows :

dataframe.index.names = dataframe.columns
dataframe = dataframe.rename_axis(dataframe.columns)

It's giving me error as Length of new names must be 1, got 67 . 67 is number of column I have in dataframe.

Answer 1

It depends if MultiIndex or not.

For single index need:

df.index.name = 'foo'
df = df.rename_axis('foo')

For MultiIndex need:

df.index.names = ('foo', 'bar')
df = df.rename_axis(('foo', 'bar'))