下面通过几个示例来说明 rename函数的用法：示例1：重命名单个列名import pandas as pddata = {'A': [1, 2, 3],'B': [4, 5, 6]}df = pd.DataFrame(data)print("Original DataFrame:")print(df)df = df.rename(columns={'A': 'Column1'})print("...
PandasPandas DataFrame Often we need to rename a column in Pandas when performing data analysis. This article will introduce different methods to rename Pandas column names in PandasDataFrame. This method is pretty straightforward and lets you rename columns directly. We can assign a list of new ...
Columns are the different fields that contain their particular values when we create a DataFrame. We can perform certain operations on both rows & column values. Sometimes we might need torename a particular column name or all the column names. Pandas allows us to achieve this task usingpandas....
The Pandas DataFrame rename() method can be used to rename one or more columns at once: # rename the 'Salary' column to 'Income' df = df.rename(columns={'Salary': 'Income'}) Pandas is a popular data manipulation library in Python, used for data analysis, cleaning, and manipulation ...
import pandas as pd # Sample DataFrame data = {"ID": [1, 2, 3], "Name": ["Alice", "Bob", "Charlie"], "Age": [25, 30, 33]} df = pd.DataFrame(data) # Define a dictionary for column renaming column_mapping = {"ID": "EmployeeID", "Name": "EmployeeName", "Age": "Em...
Frequently asked questions about renaming columns in pandas: How to Rename Multiple Columns? To rename multiple columns, use therenamemethod with a dictionary mapping old column names to new ones. Example: df.rename(columns={'OldName1': 'NewName1', 'OldName2': 'NewName2'}, inplace=True)...
importpandasaspd student_dict = {"name": ["Joe","Nat","Harry"],"age": [20,21,19],"marks": [85.10,77.80,91.54]} student_df = pd.DataFrame(student_dict)# column names before renameprint(student_df.columns.values)# rename columns inplacestudent_df.rename(columns={'name':"a"}, in...
2. Pandas Rename Single Column If you want to rename a single column, just pass the single key-value pair in the columns dict parameter. df1 = df.rename(columns={'Name': 'EmpName'}) print(df1) Output: EmpName ID Role 0 Pankaj 1 CEO ...
# 步骤1:导入pandas库importpandasaspd# 导入pandas库# 步骤2:创建数据集data={'A':[1,2,3],'B':[4,5,6],'C':[7,8,9]}df=pd.DataFrame(data)# 创建DataFrame# 步骤3:定义新的列名new_columns=['Column1','Column2','Column3']# 新列名# 步骤4:重命名列df.columns=new_columns# 重命名列#...
Pandas provides several methods to achieve this, including rename(), columns, index, and assigning new values directly. You can simply rename DataFrame column names using DataFrame.rename() . DataFrame.rename({'oldName1': 'newName1', 'oldName2': 'newName2'}, axis=1) Lets create a ...