Python 使用 orient = 'index' 在 Pandas 数据框 from_dict 中设置列名
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Set column names in pandas data frame from_dict with orient = 'index'
提问by Euler_Salter
I looked already at this question: pandas create named columns in dataframe from dict. However, my example is slightly different.
我已经看过这个问题：pandas create named columns in dataframe from dict。但是，我的示例略有不同。
I have a dictionary:
my_dict = {'key1' : [1,2,3], 'key2' : [4,5,6], 'key3' :[7,8,9]}
我有一本字典：
my_dict = {'key1' : [1,2,3], 'key2' : [4,5,6], 'key3' :[7,8,9]}
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.
我创建了一个 Pandas dataframe: df = pd.DataFrame.from_dict(my_dict, orient='index')，它是面向行的。但是，在编写时columns = ['one', 'two', 'three']出现错误，如上面的链接所示。
How do I name them?
我如何命名它们？
回答by LangeHaare
Is there a reason you can't set the column names on the next line?
是否有理由不能在下一行设置列名？
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']
Should work.
应该管用。
回答by Ninjakannon
From version 0.23.0, you can specify a columnsparameter in from_dict:
从版本 0.23.0 开始，您可以在 中指定一个columns参数from_dict：
my_dict = {'key1': [1, 2, 3], 'key2': [4, 5, 6], 'key3': [7, 8, 9]}
df = pd.DataFrame.from_dict(my_dict, orient='index', columns=['one', 'two', 'three'])
回答by Harshini Kanukuntla
my_dict = {'key1' : [1,2,3], 'key2' : [4,5,6], 'key3' :[7,8,9]}
df = pd.DataFrame.from_dict(my_dict, orient='columns')
df.columns = ['one', 'two', 'three']
Changed orient from index to columns. This worked for me.
将方向从索引更改为列。这对我有用。
