在Pandas中,可以使用rename方法或columns属性来重命名DataFrame的列。 使用rename方法 rename方法允许你通过字典、函数或lambda表达式来重命名列。 示例代码: python import pandas as pd # 创建一个示例DataFrame df = pd.DataFrame({ 'A': [1, 2, 3], 'B': [4, 5, 6],
通过传递一个可调用对象来实现列名重命名。示例3：原地修改DataFrame的列名import pandas as pddata = {'A': [1, 2, 3],'B': [4, 5, 6]}df = pd.DataFrame(data)print("Original DataFrame:")print(df)df.rename(columns={'A': 'Column1'}, inplace=True)print("\nModified DataFrame:")print(d...
Python program to rename all columns in Pandas DataFrame # Importing pandas packageimportpandasaspd# Creating a dictionary of student marksd={"Peter":[65,70,70,75],"Harry":[45,56,66,66],"Tom":[67,87,65,53],"John":[56,78,65,64] }# Now, Create DataFrame and assign index name as...
importpandasaspd# 创建示例数据data={'group':['A','B','A','B','A'],'value':[1,2,3,4,5]}df=pd.DataFrame(data)# 应用转换操作:计算每个组的累积和transformed=df.groupby('group')['value'].transform('cumsum')df['cumulative_sum']=transformedprint("DataFrame with cumulative sum:")print...
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) print(df) After executing this, the output will be a DataFrame with columns renamed as specified: X Y C 0 1 4 7 1 2 5 8 2 3 6 9 This is a simple and effective way to rename columns in pandas. ...
df.rename(columns={'column_current_name':'new_name'}) Now, let’s see how to rename the column “marks” to ‘percentage‘. Example importpandasaspd student_dict = {"name": ["Joe","Nat","Harry"],"age": [20,21,19],"marks": [85.10,77.80,91.54]}# Create DataFrame from dictstude...
To batch rename columns in a Pandas DataFrame, we can use the rename method. Here is an example: 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 ...
df.columns=['A','B'] 2.改index名 index从0开始变成从1开始 df.rename(index=lambda x:x+1,inplace=True) print(df) 省份 城市 区 人口 GDP 气温 地形 气温.1 1 北京 北京 崇文 456 1112 1 平原 3 2 北京 北京 宣武 153 142 5 草原 9 ...
df[['1-学号','2-姓名','3-年龄']].rename(columns={'1-学号':'ID','2-姓名':'name','3-年龄':'age'}) 如果需要重命名行索引,可以通过df.rename(index={‘原索引’:‘重命名索引’})的方式进行重命名。 至此,本文通过几个实例介绍了pandas常用的数据转换工具映射map()、替换replace()、重命名re...