columns_list = [1, 2, 4] # index numbers of columns you want to delete df = df.drop(columns=df.columns[columns_list]) Run Code Online (Sandbox Code Playgroud) 如需参考,请参阅columns此处的参数:https : //pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.drop.html?
pandas dataframe删除一行或一列:drop函数 【知识点】 用法: DataFrame.drop(labels=None,axis=0,index=None,columns=None, inplace=False) 参数说明: labels 就是要删除的行列的名字,用列表给定 axis 默认为0,指删除行,因此删除columns时要指定axis=1; index 直接指定要删除的行 columns 直接指定要删除的列 in...
pandas中drop()函数用法 函数定义:DataFrame.drop(labels=None,axis=0, index=None, columns=None,inplace=False)删除单个行axis=0,指删除index,因此删除columns时要指定axis=1删除多个行axis=0,指删除index,因此删除columns时要指定axis=1在没有取行名或列名的情况下,可以按一下方式删除行或列 ...
axis: It specifies to drop columns or rows. set aaxisto1or ‘columns’ to drop columns. By default, it drops the rows from DataFrame. columns: It is an alternative toaxis='columns'. It takes a single column label or list of column labels as input. level: It is used in the case of...
drop columns pandas df.drop(columns=['B','C']) 5 0 从dataframe中删除列 #To delete the column without having to reassign dfdf.drop('column_name', axis=1, inplace=True) 4 0 在pandas中删除列 note: dfisyour dataframe df = df.drop('coloum_name',axis=1) ...
By using pandas.DataFrame.drop() method you can remove/delete/drop the list of rows from pandas, all you need to provide is a list of rows indexes or
Pandas How to Drop Duplicate Columns in Pandas DataFrame By using pandas.DataFrame.T.drop_duplicates().T you can drop/remove/delete duplicate columns with the same name or a different… Comments Offon How to Drop Duplicate Columns in Pandas DataFrame ...
pandas new columns calc by multiple columns 不能直接使用apply或者map,这两个操作只能针对1列, 如果新的列等于两个旧的列经过函数处理后的结果,那么就要用如下写法(不用处理的话可以直接加减操作) map(function, column1, column2)...python中用pandas读写excel表格,根据关键字查找填表(类似vlookpup) ...
# drop columns from a dataframe # df.drop(columns=['Column_Name1','Column_Name2'], axis=1, inplace=True) import numpy as np df = pd.DataFrame(np.arange(15).reshape(3, 5), columns=['A', 'B', 'C', 'D', 'E']) print(df) # output # A B C D E # 0 0 1 2 3 4 ...
Given a DataFrame, we have to drop a list of rows from it.Dropping a list of rows from Pandas DataFrameFor this purpose, we will use pd.DataFrame.drop() method. This method is used to remove a specified row or column from the pandas DataFrame. Since rows and columns are based on ...