pandas 重命名没有列名的熊猫数据框的列
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Renaming columns of a pandas dataframe without column names
提问by tlhy
I'm trying to name the columns of my new dataframe after the dataframe.from_dict operation.
我试图在 dataframe.from_dict 操作之后命名我的新数据帧的列。
Simply using pandas.dataframe.from_dict function:
只需使用 pandas.dataframe.from_dict 函数：
df = pd.DataFrame.from_dict(my_dict,orient='index')
yields the dataframe without column headers.
产生没有列标题的数据框。
data=pd.DataFrame.from_dict(my_dict,orient='index).rename(columns = {'name','number'})
This yields nothing an error : TypeError: 'set' object is not callable.
这不会产生任何错误：TypeError: 'set' object is not callable。
Does anybody have a clue?
有人有线索吗？
采纳答案by snapcrack
If you want the index as the keys in your dict, you don't need to rename it.
如果您希望索引作为字典中的键，则无需重命名。
df = pd.DataFrame.from_dict(dicts, orient = 'index') #index is name
df.columns = (['number']) #non-index column is number
df.index.name = 'name'
Or instead of changing the index name you can make a new column:
或者，您可以创建一个新列，而不是更改索引名称：
df = df.reset_index() #named column becomes index, index becomes ordered sequence
df['name'] = df['index'] #new column with names
del df['index'] #delete old column
回答by Allen
You can probably do something like this by implicitly referring the columns names and then set new names.
您可以通过隐式引用列名称然后设置新名称来执行类似操作。
data = (
pd.DataFrame.from_dict(my_dict,orient='index')
.rename(columns=dict(zip(df.columns,['name','number'])))
)
