I have a dataframe like this one:
In [10]: df
Out[10]:
Column 1
foo
Apples 1
Oranges 2
Puppies 3
Ducks 4
How to remove index name
foo
from that dataframe?
The desired output is like this:
In [10]: df
Out[10]:
Column 1
Apples 1
Oranges 2
Puppies 3
Ducks 4
The most straightforward way to drop a Pandas dataframe index is to use the Pandas . reset_index() method. By default, the method will only reset the index, forcing values from 0 - len(df)-1 as the index. The method will also simply insert the dataframe index into a column in the dataframe.
Just simply put header=False and for eliminating the index using index=False.
To drop a non-primary key index, use the DROP INDEX command: DROP INDEX index_name ON table_name; The syntax requires the table name to be specified because MySQL allows index names to be reused on multiple tables.
Pandas DataFrame: drop() functionWhen using a multi-index, labels on different levels can be removed by specifying the level. Index or column labels to drop. Whether to drop labels from the index (0 or 'index') or columns (1 or 'columns'). Alternative to specifying axis (labels, axis=0 is equivalent to index=labels).
Alternatively you can just assign None
to the index.name
attribute:
>>> df.index.name = None
>>> print(df)
Column 1
Apples 1
Oranges 2
Puppies 3
Ducks 4
Took me way too long to find an answer that actually worked for me. See below.
df = df.rename_axis(None, axis=1)
I'm sure some of these other answers are working for other people, but they definitely didn't work for me :(
Use del df.index.name
In [16]: df
Out[16]:
Column 1
foo
Apples 1
Oranges 2
Puppies 3
Ducks 4
In [17]: del df.index.name
In [18]: df
Out[18]:
Column 1
Apples 1
Oranges 2
Puppies 3
Ducks 4
From version 0.18.0
you can use rename_axis
:
print df
Column 1
foo
Apples 1
Oranges 2
Puppies 3
Ducks 4
print df.index.name
foo
print df.rename_axis(None)
Column 1
Apples 1
Oranges 2
Puppies 3
Ducks 4
print df.rename_axis(None).index.name
None
# To modify the DataFrame itself:
df.rename_axis(None, inplace=True)
print df.index.name
None
for your case, just use the following code. tested on pandas 1.0.1.
df = df.rename_axis(index=None)
Simple change -- do it inplace:
df_degree.rename_axis(None, axis=1, inplace=True)
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