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 ...
df.rename(columns={'A': 'X', 'B': 'Y'}, inplace=True) This code will rename column'A'to'X'and column'B'to'Y'. Theinplace=Trueargument modifies the original DataFrame. If you omit this argument or set it toFalse, it will return a new DataFrame with the renamed columns, leaving...
You can change the column name of Pandas DataFrame by using the DataFrame.rename() method and the DataFrame.columns() method. In this article, I will explain how to change the given column name of Pandas DataFrame with examples. Advertisements Use the pandas DataFrame.rename() function to modi...
To rename a column by index in pandas, you can use therenamemethod along with thecolumnsparameter. For example, therenamemethod is used with thecolumnsparameter to specify the mapping of the old column name to the new column name. Theinplace=Trueargument modifies the original DataFrame in plac...
import pandas as pd 2. 读取数据集,创建一个DataFrame 这里假设我们使用一个简单的字典来创建一个DataFrame,作为示例。 python data = {'OldColumn1': [1, 2, 3], 'OldColumn2': [4, 5, 6], 'OldColumn3': [7, 8, 9]} df = pd.DataFrame(data) 3. 使用rename()方法修改column名称 接下来...
concat([df1,df2.rename(columns={'b':'a'})], ignore_index=True) # Display result print("Result:\n",res) OutputThe output of the above program is:Python Pandas Programs »How to turn a pandas dataframe row into a comma separated string? pandas.DataFrame.hist() Method ...
import pandas as pd import math df = pd.DataFrame({'NAME': ['Pankaj', 'Lisa'], 'ID': [1, 2], 'ROLE': ['CEO', 'Editor']}) df.rename(columns=str.lower, index=math.degrees, inplace=True) print(df) Output: name id role ...
1. rename()方法概述 在pandas中,rename()方法可以用于重命名DataFrame或Series的列名或索引。其基本语法格式如下: ```python DataFrame.rename(columns=None, index=None, inplace=False) ``` 其中,columns参数用于指定要更改的列名,index参数用于指定要更改的索引名,inplace参数用于指定是否在原数据上进行修改。
importpandasaspddf=pd.DataFrame({'name':['alice','bob','charlie'],'age':[25,26,27]})df.rename(columns={'name':'person_name'}) BEFORE: original dataframe AFTER:namebecomesperson_name Tochange multiple column names, it's the same thing, just name them all in thecolumnsdictionary: ...
导入Pandas库创建或读取DataFrame使用rename重命名列查看修改后的DataFrame 步骤详解 1. 导入Pandas库 在Python中,处理数据通常会使用Pandas库。首先,我们需要导入这个库: importpandasaspd# 导入Pandas库并给它一个别名pd 1. 2. 创建或读取DataFrame 接下来,我们可以创建一个简单的DataFrame,或者从外部文件读取数据。这里...