[英]how to rename a dataframe column which is a digit like name?
I have a dataframe column contains 10 different digits.我有一个数据框列包含 10 个不同的数字。 Through
pd.get_dummies
I've got 10 new columns which column names are numbers.通过
pd.get_dummies
我有 10 个新列,列名是数字。 Then I want to rename these number named columns by df = df.rename(columns={'0':'topic0'})
but failed.然后我想通过
df = df.rename(columns={'0':'topic0'})
重命名这些编号命名的列,但失败了。 How can I rename these columns' name from numbers to strings?如何将这些列的名称从数字重命名为字符串?
Use DataFrame.add_prefix
:使用
DataFrame.add_prefix
:
df = pd.DataFrame({'col':[1,5,7,8,3,6,5,8,9,10]})
df1 = pd.get_dummies(df['col']).add_prefix('topic')
print (df1)
topic1 topic3 topic5 topic6 topic7 topic8 topic9 topic10
0 1 0 0 0 0 0 0 0
1 0 0 1 0 0 0 0 0
2 0 0 0 0 1 0 0 0
3 0 0 0 0 0 1 0 0
4 0 1 0 0 0 0 0 0
5 0 0 0 1 0 0 0 0
6 0 0 1 0 0 0 0 0
7 0 0 0 0 0 1 0 0
8 0 0 0 0 0 0 1 0
9 0 0 0 0 0 0 0 1
With the example dataframe you can do:使用示例数据框,您可以执行以下操作:
d = {0: [1, 2], 1: [3, 4]}
df = pd.DataFrame(data=d)
You can do for example:你可以做例如:
df.rename(index=str, columns={0: "a", 1: "c"})
And then use this method to rename the other columns.然后使用此方法重命名其他列。
Compactly:紧凑:
for x in range(3):
df.rename(index=str, columns={x: "topic"+str(x)})
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