GroupBy 不仅可以按单个列进行分组,还可以同时按多个列进行分组: importpandasaspd# 创建示例数据data={'name':['Alice','Bob','Charlie','Alice','Bob'],'department':['HR','IT','Finance','HR','IT'],'salary':[5000,6000,5500,5200,6200]}df=pd.
3. Pandas Rename Column Name In order to rename a single column name on pandas DataFrame, you can usecolumn={}parameter with the dictionary mapping of the old name and a new name. Note that when you usecolumnparam, you cannot explicitly useaxisparam. pandasDataFrame.rename()accepts a dict(...
# renaming the column "A" df.rename(columns={"Name":"Names"}, inplace=True) # displaying the columns after renaming print(df.columns) 输出: 示例2:重命名多个列。 Python3实现 # import pandas package importpandasaspd # defining a dictionary d={"Name":["John","Mary","Helen"], "Marks"...
You can simply rename DataFrame column names using DataFrame.rename() DataFrame.rename({'oldName1': 'newName1', 'oldName2': 'newName2'}, axis=1)
DataFrame.rename( mapper=None, *, index=None, columns=None, axis=None, copy=True, inplace=False, level=None, errors='ignore' ) # Short Syntax or # Syntax to rename a particular column DataFrame.rename( columns = {'old_col_name':'new_col_name'}, ...
df['column_name'] # 通过标签选择数据 df.loc[row_index, column_name] # 通过位置选择数据 df.iloc[row_index, column_index] # 通过标签或位置选择数据 df.ix[row_index, column_name] # 选择指定的列 df.filter(items=['column_name1', 'column_name2']) # 选择列名匹配正则表达式的列 df.filter...
#multile column updatedata.rename(columns={'Fruit':'Fruit Name','Colour':'Color','Price':'Cost...
# Quick examples of rename column by index # Example 1: Assign column name by index df.columns.values[1] = 'Courses_Fee' print(df.columns) # Example 2: Rename column name by index df.rename(columns={df.columns[2]: 'Courses_Duration'},inplace=True) ...
df = (df.rename(columns={'OldName': 'NewName'}) .other_operations() ...) Is It Possible to Rename Columns While Aggregating Data? Yes, use named aggregation for this. Example: df.groupby('group_column').agg(NewName=('original_column', 'aggfunc')) ...
如果我们想给表格中的列名重新命名的话,可以使用rename方法, 代码语言:javascript 代码运行次数:0 运行 AI代码解释 df_renamed = df.rename(columns={"Name":"Full Name", "Sex": "Gender", "Ticket": "FareTicket"}) df_renamed.head() output DataFrame中的统计分析 在Pandas中也提供了很多相关的方法来...