# 假设 df 是你的数据框 df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]}) # 查找重复的列名 duplicate_columns = df.columns[df.columns.duplicated()] print(duplicate_columns) 这段代码会输出重复的列名。如果有多个重复的列名,它们都会被列出。 删除重复的列名...
data2=pd.DataFrame(np.random.randint(100,size=(1000,3)), columns=['Salary','Debt','Bonus']) # Merge the DataFrames df_merged=pd.merge(data1,data2,how='inner',left_index=True, right_index=True,suffixes=('','_remove')) # remove the duplicate columns df_merged.drop([iforiindf_mer...
DataFrame.duplicated(self, subset=None, keep='first') Return boolean Series denoting duplicate rows, optionally only considering certain columns. Parameters: subset : column label or sequence of labels, optional Only consider certain columns for identifying duplicates, by default use all of the ...
Python program to remove duplicate columns in Pandas DataFrame# Importing pandas package import pandas as pd # Defining two DataFrames df = pd.DataFrame( data={ "Parle": ["Frooti", "Krack-jack", "Hide&seek", "Frooti"], "Nestle": ["Maggie", "Kitkat", "EveryDay", "Crunch"], "...
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
In this tutorial, we will learn the Python pandasDataFrame.duplicated()method. It returns the boolean Series denoting duplicate rows. We can consider certain columns but it is optional. It returns the boolean series for each duplicated row. ...
1、duplicated方法去判断是否重复:DataFrame的duplicated方法返回的是一个布尔值Series,这个Series反映的是每一行是否存在重复情况:2、 drop_duplicate方法去查看重复行里面的值 drop_duplicates返回的是DataFrame,内容是duplicated返回数组中为False的部分: 若想查看duplicated和 ...
Query the columns of a frame with a boolean expression. 二元运算 方法描述DataFrame.add(other[, axis, level, fill_value])加法,元素指向DataFrame.sub(other[, axis, level, fill_value])减法,元素指向DataFrame.mul(other[, axis, level, fill_value])乘法,元素指向DataFrame.div(other[, axis, level,...
DataFrame.duplicated(subset=None,keep="first") It gives back a series of booleans indicating whether a row is duplicate or unique. Parameters: subset: This requires a column or collection of column labels. None is the default value for it. After passing columns, it will only take duplicates...
Relatedly, drop_dumplicates returns a DataFrame where the duplicated array is False. "df.drop_duplicates() 删除重复行"data.drop_duplicates() 'df.drop_duplicates() 删除重复行' Both of these methods by default consider of the columns; alternatively(非此即彼), you can specify any subset of the...