修改一个DataFrame的columns的name(重命名列名): dataframe[column_name].rename('industry')dataframe.rename(columns={0:'industry'})# 用.rename() 将第一行的值作为 column names: data.rename(columns = data.iloc[0,:]) # 或者可以用 .T.set_index().T 将第一列的值作为 index names: data.rename...
从满足条件的pandas DataFrame中获取特定的列名,可以使用以下方法: 1. 使用条件筛选获取满足条件的行: ```python condition = df['column_...
遍历行并查找列名:使用iterrows()方法遍历DataFrame的每一行,并通过迭代获取每一行的索引和数据。然后,可以使用keys()方法获取列名。以下是示例代码: 代码语言:txt 复制 for index, row in df.iterrows(): print("Row index:", index) print("Column names:") for col_name in row.keys(): print(col_name...
new_column_names = ['Column1', 'Column2', 'Column3', ...] # 用实际的列名替换 df = df.rename(columns=new_column_names)接下来，如果你希望改变DataFrame的索引名，Pandas同样提供了相关方法。默认情况下，索引是从0开始的整数，如果你想要从1开始，可以使用`reset_index()`函数，然后选...
rownames : sequence, default None If passed, must match number of row arrays passed. colnames : sequence, default None If passed, must match number of column arrays passed. aggfunc : function, optional If specified, requires `values` be specified as well. margins : bool, default False Add ...
head()) # multiple ways of getting column names as list print("\nThe column headers :") print("Column headers from list(df.columns.values):", list(df.columns.values)) print("Column headers from list(df):", list(df)) print("Column headers from list(df.columns):", list(df.columns...
column_names=['first_name','last_name','salary']df=pd.read_csv('employees.csv',names=column_names,)# first_name last_name salary# 0 Alice Smith 500# 1 Bob Smith 600# 2 Carl Smith 400print(df) The code for this article is available onGitHub ...
df.rename(columns={'A班-Python成绩':'A班-数学成绩'}, inplace=True) df 变更前后：df.rename()...
For example, df.columns.get_loc(column_name) returns the index of the column with the specified name (‘B’ in this case). The result is then printed, indicating the index of the column within the DataFrame. Can I get the index for multiple column names at once? You can get the ...
# 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 ...