importpandasaspd# 读取数据集data=pd.read_csv('dataset.csv')# 查看原始列名print(data.columns)# 重命名列名new_column_names={'old_column_name':'new_column_name'}data.rename(columns=new_column_names,inplace=True)# 查看修改后的列名print(data.columns)# 保存修改后的数据集data.to_csv('modified_...
importpandasaspd# 创建一个示例数据框data={'A':[1,2,3],'B':[4,5,6]}df=pd.DataFrame(data)# 显示原始数据框print("原始数据框:")print(df)# 将列名'A'重命名为'Column1',列名'B'重命名为'Column2'df=df.rename(columns={'A':'Column1','B':'Column2'})# 显示重命名后的数据框print("...
rename(columns={'地区':'省份名称'}, inplace=True) return df_processer ### 上面是用于合并处理一份年鉴的自定义函数 ### ### 下面是循环处理所有年鉴并合并为一张表的代码 ### # 创建存放 2021 年全部统计年鉴数据的总表 DATA = pd.DataFrame() # 暂时是空表,后续逐一将处理后的表放入其中 # 读...
修改city为area。 importpandasaspddf=pd.DataFrame(pd.read_excel('test1.xlsx',engine='openpyxl'))print(df.dtypes)df.rename(columns={'city':'area'},inplace=True)print(df.dtypes)df.to_excel('test1.xlsx',index=False) id int64 date datetime64[ns] cityobject category object age int64 price ...
important_consideration = rename_columns(important_consideration, ic_col_names) # Now tack on age_group from the original DataFrame so we can use .groupby # (You could also use pd.concat, but I find this easier) important_consideration['age_group'] = survey_data['age_group'] important_con...
I'm trying to figure out if there is a way to rename Pandas columns when you try to reset the index. I see in the documentation that you can use the "name" parameter to set the column name of a reset index if there is only one column, but I'm curious if there is a w...
df.rename(columns={0:'姓名',1:'性别',2:'年龄',3:'体重',4:'身高'},inplace=True)第五步，对整行为空值的数据进行删除，我们使用df.dropna方法:df.dropna(how='all',inplace=True)第六步，使用平均值来填充体重缺失的值，我们使用df.fillna方法:df[u'体重'].fillna(int(df[u'体重'].mean())...
import pandas as pd # 创建一个示例DataFrame data = {'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]} df = pd.DataFrame(data) # 打印原始DataFrame print("原始DataFrame:") print(df) # 使用rename()方法重命名列名 df = df.rename(columns=lambda x: 'new_' + x) # 打...
df.rename(columns={'原列名':'新列名','b':'B'}, inplace = True) #原列名冒号新列名,可改多列,inplace=True 或者赋值 改行名 df.rename(index = {'原行名':'新行名'}) #参考改列名 df.rename(columns={'原列名':'新列名},index = {'原行名':'新行名'}) ...
Example 1: Change Names of All Variables Using columns AttributeExample 1 explains how to rename the column names of all variables in a data set.The following Python code uses the columns attribute to create a copy of our DataFrame where the original header is replaced by the new column ...