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...
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
By using pandas.DataFrame.T.drop_duplicates().T you can drop/remove/delete duplicate columns with the same name or a different name. This method removes
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 ...
You successfully removed the empty columns. You see that if you call .info() again:Python 复制 player_df.info() 输出 复制 <class 'pandas.core.frame.DataFrame'> RangeIndex: 46 entries, 0 to 45 Data columns (total 14 columns): # Column Non-Null Count Dtype --- --- --- --- ...
Example 1: Drop rows using the DataFrame.drop() Method TheDataFrame.drop()method drops the specified label from the DataFrame along therowaxis. The below example shows the same. import pandas as pd df=pd.DataFrame([[0,1,2,3], [4,5,6,7],[8,9,10,11]],columns=('a','b','c',...
To base our duplicate dropping on multiple columns, we can pass a list of column names to the subset argument, in this case, name and breed. Now both Max's have been included. Interactive Example In this exercise, you'll create some new DataFrames using unique values from sales. sales ...