del df["column_name"] # or del(df['column_name']) Note:To work with Python Pandas, we need to import thepandaslibrary. Below is the syntax, import pandas as pd Example 1: Delete a column from a Pandas DataFrame
Use thedrop()Method to Delete Last Column in Pandas The syntax for deleting the lastnnumber of columns is below. df.drop(df.columns[[-n,]],axis=1,inplace=True,) We must replace the number of columns we need to delete with thengiven in the code above. If we desire to delete the ...
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 remove all the occurrences of that element except one....
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...
(axis=0). When axis=0, this is referring to a row. When axis=1, it is referring to a column (to delete a column). Therefore, since axis=0, by default, meaning it refers to rows, we do not need to specify the line, axis=0. However, when deleting a column, we must ...
inner是merge函数的默认参数,意思是将dataframe_1和dataframe_2两表中主键一致的行保留下来,然后合并列。 outer是相对于inner来说的,outer不会仅仅保留主键一致的行,还会将不一致的部分填充Nan然后保留下来。 然后是left和right,首先为什么是left和right,left指代的是输入的时候左边的表格即dataframe_1,同理right指代dat...
We can add an empty column to a DataFrame in Pandas using the reindex() , , assign() and insert() methods of the DataFrame object. We can also directly assign a null value to the column of the DataFrame to create an empty column in Pandas.
Follow these steps to learn how to delete a column or a row from a DataFrame in the Pandas library of Python.
The Syntax of Pandas drop In this section, I’ll show you the syntax to: delete a single column delete multiple columns delete rows We’ll look at those separately, and then I’ll explain some optional parameters afterwards. A quick note ...
for x in df.index: if df.loc[x, "Duration"] > 120: df.loc[x, "Duration"] = 120 It checks each value in the "Duration" column. If the value is greater than 120, the code updates that value to be 120. Output: If you want the row to be removed by setting a rule: ...