官方文档给出的这个函数的作用是ReturnDataFramewith duplicate rows removed, optionally only considering certain columns.也就是删除重复的行之后返回一个DataFrame,可以选择只考虑某些列。 函数原型如下:DataFrame.drop_duplicates(subset=None, keep pandas入门
下面的Excel VBA代码,用于删除特定工作表所有列中的所有重复行。...如果没有标题行,则删除代码后面的部分。...如果只想删除指定列(例如第1、2、3列)中的重复项,那么可以使用下面的代码: Sub DeDupeColSpecific() Cells.RemoveDuplicates Columns:=Array...(1, 2, 3), Header:=xlYes End Sub 可以修改代...
Identify the columns to set as index We can set a specific column or multiple columns as an index in pandas DataFrame. Create a list of column labels to be used to set an index. ['col_label1', 'col_label2'...] Use DataFrame.set_index() function We need to pass the column or li...
...Cols(i) = i + 1 Next i rng.RemoveDuplicates Columns:=(Cols), Header:=xlYes End Sub 这里使用了当前区域...如果只想删除指定列(例如第1、2、3列)中的重复项,那么可以使用下面的代码: Sub DeDupeColSpecific() Cells.RemoveDuplicates Columns:=Array...(1, 2, 3), Header:=xlYes End Sub ...
The functiondata.frame()binds vectors together, possibly with column headings. The functionscolnames(),names(), andrownames()can be used to attach and extract column and row names for these objects. You can extract a given row, column, or specific cell from a data frame using the column/...
>>> pd.read_csv('data.csv')#To import specific columns >>> pd.read_csv('data.csv', usecols=['column_name1','column_name2'])#To set a column as the index column >>> pd.read_csv('data.csv',index_col='Name') 1. 2.
How to keep index when using pandas merge? Drop columns whose name contains a specific string from pandas DataFrame How to select every nth row in pandas? Python Pandas: Merge only certain columns How to delete the last row of data of a pandas DataFrame? Find the column name which has the...
Columns are the different fields which contains their particular values when we create a DataFrame. We can perform certain operations on both rows & column values. Sometimes we need to add a column in our dataset and this creation depends upon some condition. ...
All columns in the DataFrame are returned. There is no way to keep specific duplicate rows. Warning Specifying a non-None value of subset may produce an unstable DataFrame, the contents of which may be different every time you look at it. Specifically, if two rows are duplicates in their ...
To keep it as a dataframe, just add drop=False as shown below: debt[1:3, 2, drop = FALSE] Powered By payment 1 100 2 200 3 150 Powered By Selecting a specific column To select a specific column, you can also type in the name of the dataframe, followed by a $, and the...