在Pandas中,drop_duplicates() 方法主要用于删除重复的行,而不是列。为了删除重复的列,我们需要采用其他方法。以下是一个分步骤的解决方案,用于删除Pandas DataFrame中的重复列: 1. 获取DataFrame的所有列名 首先,我们需要获取DataFrame的列名列表。这可以通过访问DataFrame的 columns 属性来实现。 python import pandas ...
在excel中,删除重复项操作很简单,直接选中数据区域,然后点击“数据”菜单下的“删除重复项”。在弹出的“删除重复值”对话框,选中所有的列即可去除每行都重复的数据。下图是得出的结果:3、函数介绍 我们来到Python环境中,通过pandas的去重函数:drop_duplicates(),下面是官方的函数说明 解释一下各个参数:subset...
By usingpandas.DataFrame.T.drop_duplicates().Tyou can drop/remove/delete duplicate columns with the same name or a different name. This method removes all columns of the same name beside the first occurrence of the column and also removes columns that have the same data with a different colu...
可以使用 drop 方法来删除指定的列。下面是一个示例代码: # 删除重复的列名 df = df.drop(duplicate_columns, axis=1) 在这段代码中,axis=1 表示我们是在删除列而不是行。drop 方法默认会从数据框中删除指定的行或列。注意,drop 方法会直接修改原始数据框,而不是返回一个新的数据框。 处理重复索引如果你遇...
drop_duplates()可以使用这个方法删除重复的行。# Drop duplicate rows (but only keep the first row)df = df.drop_duplicates(keep='first') #keep='first' / keep='last' / keep=False# Note: inplace=True modifies the DataFrame rather than creating a new onedf.drop_duplicates(keep='first', ...
Now let us eliminate the duplicate columns from the data frame. We can do this operation using the following code. print(val.reset_index().T.drop_duplicates().T) This helps us easily reset the index and drop duplicate columns from our data frame. The output of the code is below. ...
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 ...
import pandas as pd # 读取数据 data = pd.read_csv('data.csv') # 检测重复的列 is_duplicate = data.duplicated() # 删除重复的列 data = data.drop(data.columns[is_duplicate], axis=1) # 重新命名列 new_columns = {'original_column1': 'new_column1', 'original_column2': 'new_column2...
pandas的drop_duplicate方法 `pandas` 的 `drop_duplicates` 方法用于从 `DataFrame` 或 `Series` 中删除重复的行或元素。它通常用于数据清洗,以去除数据集中的重复项。 ### 基本用法 对于`DataFrame`: ```python import pandas as pd # 创建一个示例 DataFrame df = pd.DataFrame({ 'A': [1, 2, 2, ...
Given a Pandas DataFrame, we have to remove duplicate columns.Removing duplicate columns in Pandas DataFrameFor this purpose, we are going to use pandas.DataFrame.drop_duplicates() method. This method is useful when there are more than 1 occurrence of a single element in a column. It will ...