使用Orient ='index'在Pandas数据框from_dict中设置列名称 [英] Set column names in pandas data frame from_dict with orient = 'index'

问题描述

我已经看过以下问题: pandas创建命名列在字典数据框中.但是，我的示例略有不同.

I looked already at this question: pandas create named columns in dataframe from dict. However, my example is slightly different.

我有一本字典: my_dict = {'key1' : [1,2,3], 'key2' : [4,5,6], 'key3' :[7,8,9]}

然后我创建了一个熊猫数据框:df = pd.DataFrame.from_dict(my_dict, orient='index')，它是面向行的.但是，编写columns = ['one', 'two', 'three']时出现错误，如上面的链接所示.

And I created a pandas dataframe: df = pd.DataFrame.from_dict(my_dict, orient='index'), which is row oriented. However, when writing columns = ['one', 'two', 'three'] I get an error, as in the link above.

如何命名?

推荐答案

您是否有理由无法在下一行设置列名称?

Is there a reason you can't set the column names on the next line?

my_dict = {'key1' : [1,2,3], 'key2' : [4,5,6], 'key3' :[7,8,9]}
df = pd.DataFrame.from_dict(my_dict, orient='index')
df.columns = ['one', 'two', 'three']

应该工作.

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