百度试题 结果1 题目pandas中用于从DataFrame中删除指定列的方法是: A. drop_columns() B. remove_columns() C. delete_columns() D. drop() 相关知识点: 试题来源: 解析 D 反馈 收藏
Explaining the np.delete() function The np.delete() function takes three main arguments: the input array, the index of the element or column to be deleted, and the axis along which to delete. The axis parameter is crucial in this case since we want to delete the column, not just an e...
The DataFrame.drop() Method method is used to remove a specified row or column from the pandas DataFrame. Since rows and columns are based on index and axis values respectively, by passing the index or axis value inside DataFrame.drop() method we can delete that particular row or column. ...
The drop() method allows you to remove rows or columns by specifying the label names and the corresponding axis (0 for rows and 1 for columns) that you want to drop, or you can directly specify the index or column names to be removed. import pandas as pd import numpy as np df = ...
del df['col_name']deletes the DataFrame column that has the names ascol_name. The limitation of thisdelmethod is that it could only delete one column at one time. df.dropMethod to Delete DataFrame Columns drop(self,labels=None,axis=0,index=None,columns=None,level=None,inplace=False,erro...
Example 2 shows how to drop several variables from a pandas DataFrame in Python based on the names of these variables. For this, we have to specify a list of column names within the drop function: data_new2=data.drop(["x1","x3"],axis=1)# Apply drop() functionprint(data_new2)# Pr...
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Index of non 'NaN' values in Pandas Pandas combine two columns with null values Pandas add column with value based on condition based on other columns Drop row if two columns are NaN Pandas convert month int to month name Unpivot Pandas Data ...