"重命名未命名的列熊猫数据框"

Question

My csv file has no column name for the first column, and I want to rename it. Usually, I would do data.rename(columns={'oldname':'newname'}, inplace=True)<\/code> , but there is no name in the csv file, just ''.

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Answer 1

You can view the current dataframe using data.head()

if that returns 'Unnamed: 0' as the column title, you can rename it in the following way:

data.rename( columns={'Unnamed: 0':'new column name'}, inplace=True )

Answer 2

When you load the csv, use the option 'index_col' like

pd.read_csv('test.csv', index_col=0)

index_col : int or sequence or False, default None Column to use as the row labels of the DataFrame. If a sequence is given, a MultiIndex is used. If you have a malformed file with delimiters at the end of each line, you might consider index_col=False to force pandas to not use the first column as the index (row names)

http://pandas.pydata.org/pandas-docs/dev/generated/pandas.io.parsers.read_csv.html

Answer 3

The solution can be improved as data.rename( columns={0 :'new column name'}, inplace=True ) . There is no need to use 'Unnamed: 0' , simply use the column number, which is 0 in this case and then supply the 'new column name' .

Answer 4

这应该有效：

data.rename( columns={0 :'Articles'}, inplace=True )

Answer 5

试试下面的代码，

df.columns = ['A', 'B', 'C', 'D']

Answer 6

usually the blank column names are named based on their index

so for example lets say the 4 column is unnamed.

df.rename({'unnamed:3':'new_name'},inplace=True)

usually it is named like this since the indexing of columns start with zero.

Answer 7

It has a name, the name is just '' (the empty string).

In [2]: df = pd.DataFrame({'': [1, 2]})

In [3]: df
Out[3]: 

0  1
1  2

In [4]: df.rename(columns={'': 'A'})
Out[4]: 
   A
0  1
1  2

Answer 8

It can be that the first column/row could not have a name, because it's an index and not a column/row. That's why you need to rename the index like this:

df.index.name = 'new_name'

Answer 9

Q: "my column has no name when I print the DataFrame it shows the column 0 only and I used this technique its not helping me, can you please suggest any other method to replace the name"

data.rename( columns={0:'new column name'}, inplace=True )