[英]Rename the name of the columns of a Pandas Dataframe by the values of another Pandas Dataframe
I would like to rename the columns of my Pandas Dataframe, according to the dictionary located in another Dataframe.根据位于另一个 Dataframe 中的字典,我想重命名我的 Pandas Dataframe 的列。
For example, I have the DF1:例如,我有 DF1:
And I would like to rename the name of the df1 columns according to this dictionary:我想根据这本字典重命名 df1 列的名称:
My goal is to automatically obtain a dataframe with the following changes:我的目标是通过以下更改自动获得 dataframe:
PS. PS。 I would like to rename the column after the word "fields", to keep the format "field.CHANGE_NAME".
我想在单词“fields”之后重命名该列,以保持格式“field.CHANGE_NAME”。
### data for the first dataframe
data1 = {
"field.customfield_1032": [48,30,28,38],
"field.customfield_1031": ["RSA", "RSB", "RSC", "RSD"],
"field.customfield_1030": ["Thornton", "MacGyver", "Dalton", "Murdoc "]
}
df1 = pd.DataFrame(data1)
print(df1)
### data for the second dataframe, this is the diccionary with the data
data2 = {"field.ID": ['field.customfield_1030','field.customfield_1031','field.customfield_1032'],
"field.Name": ['Surname','ID', 'Age'],}
df2 = pd.DataFrame(data2)
print(df2)
How could I achieve this?我怎么能做到这一点?
Thank you in advance.先感谢您。
Map the columns to the dict from the combination of df2['field.ID']
& df2['field.Name']
Map
df2['field.ID']
& df2['field.Name']
组合的字典列
Here is the solution:这是解决方案:
df1.columns = df1.columns.map({x: f"field.{y}" for x, y in zip(df2['field.ID'], df2['field.Name'])})
print(df1)
field.Age field.ID field.Surname
0 48 RSA Thornton
1 30 RSB MacGyver
2 28 RSC Dalton
3 38 RSD Murdoc
Let's try我们试试看
out = df1.rename(columns=dict(df2.values)).add_prefix('field.')
print(out)
field.Age field.ID field.Surname
0 48 RSA Thornton
1 30 RSB MacGyver
2 28 RSC Dalton
3 38 RSD Murdoc
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