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....
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("...
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 column names usingDataFr...
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...
How to rename column name in pandas By: Rajesh P.S.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 ...
Let’s see how to rename all three columns of a dataframe. 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...
Pandas 的 DataFrame.rename(~) 方法重命名 DataFrame 的列和索引。 参数 1. columns | dict 一个字典,其键是要修改的列名,值是新的列名。 2. index | dict 一个字典,其键是要修改的索引名称,值是新的索引名称。 3. inplace | boolean | optional 如果是True,则修改并返回源DataFrame,而不创建新的源。
a1 a 1 4 a2 b 8 7 a3 NaN 7 2 a4 c 6 3 方法2:pandas.DataFrame.rename()函数 rename函数是专门为了修改DataFrame坐标轴标签函数。rename函数的优点:可以 math?formula=%5Ccolor%7Bred%7D%7B%E9%80%89%E6%8B%A9%E6%80%A7%E7%9A%84%E4%BF%AE%E6%94%B9%7D某行某列的标签。
import pandas as pd data = { "age": [50, 40, 30], "qualified": [True, False, False] } idx = ["Sally", "Mary", "John"] df = pd.DataFrame(data, index=idx) newdf = df.rename({"Sally": "Pete", "Mary": "Patrick", "John": "Paula"}) print(newdf)...
df = pd.DataFrame(data, columns = new_columns)print(df) Output: Explanation: First we will have to import the module Numpy and alias it with a name (here np). We also need to import the module Pandas and alias it with a name (here pd). We create a list for our new column name...