In pandas, drop_duplicates() is used to remove duplicates from the Series (get rid of repeated values from the Series). In this article, I’ll explain how to use the Series.drop_duplicates() function and show you the steps. By following these steps, you can make a new list that’s ...
Syntax of DataFrame.drop_duplicates() Following is the syntax of thedrop_duplicates()function. It takessubset,keep,inplaceandignore_indexas params and returns DataFrame with duplicate rows removed based on the parameters passed. Ifinplace=Trueis used, it updates the existing DataFrame object and r...
Table 1 shows the output of the previous syntax: We have created some example data containing seven rows and three columns. Some of the rows in our data are duplicates. Example 1: Drop Duplicates from pandas DataFrame In this example, I’ll explain how to delete duplicate observations in a ...
The drop_duplicates() function is used to get Pandas series with duplicate values removed. Syntax: Series.drop_duplicates(self, keep='first', inplace=False) Parameters: Returns:Series Series with duplicates dropped. Example - Generate a Series with duplicated entries: Python-Pandas Code: import n...
51CTO博客已为您找到关于pandas中drop用法的相关内容,包含IT学习相关文档代码介绍、相关教程视频课程,以及pandas中drop用法问答内容。更多pandas中drop用法相关解答可以来51CTO博客参与分享和学习,帮助广大IT技术人实现成长和进步。
pandas主要有三个用来删除的函数,.drop()、.drop_duplicates()、.dropna()。总结如下 .drop()删除行、列 .drop_duplicates()删除重复数据 .dropna()删除空值(所在行、列) 为避免篇幅太长,将其分为两部分,不想看参数介绍的可以直接看实例。 本篇介绍.drop_duplicates(), df.dropnadrop_duplicate ...
Pandas Drop duplicate rows You can use DataFrame.drop() method to drop rows in DataFrame in Pandas. Syntax of DataFrame.drop() 1 2 3 DataFrame.drop(labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise') Here, labels: index or columns to remove. ...
importpandas as pd data = { "name": ["Sally","Mary","John","Mary"], "age": [50,40,30,40], "qualified":[True,False,False,False] } df = pd.DataFrame(data) newdf= df.drop_duplicates() Try it Yourself » Definition and Usage ...
In this tutorial, we will learn thePythonpandasDataFrame.drop_duplicates()method. It returns a DataFrame with duplicate rows removed. Considering certain columns is optional. Indexes, including time indexes, are ignored. The below shows the syntax of theDataFrame.drop_duplicates()method. ...
import pandas as pd # 读取Excel文件 df = pd.read_excel('filename.xlsx') # 使用Drop方法删除指定的列 df = df.drop('column_name', axis=1) # 使用Head方法获取前几行数据 head_data = df.head(5) 在上面的代码中,'filename.xlsx'是要读取的Excel文件的文件名,'column_name'是要删除的列的名...