In This Section we will be focusing on how to drop or delete the column when the column name ends with a string or name in pandas dataframe python, There are multiple ways to do it, we have also handled the case sensitiveness, we have used functions like, endswith() along with drop() to achieve the same. let’s look at each of these cases in pandas with an example for each.
- Delete the column when the column name ends with a name or string in pandas – Case Sensitive
- Delete the column when the column name ends with a name or string in pandas – Case In Sensitive: All Case
Create Dataframe:
## create dataframe import pandas as pd data = {'product_Name': ['laptop', 'printer', 'tablet', 'desk', 'chair'], 'price': [1200, 150, 300, 450, 200], 'location_name':['Mumbai','Delhi','California','Newyork','London'], 'offer_percentage':[3,4,8,1,3], 'Name_of_customer':['Krishna','Ram','Johnathan','Joel','Christy'], 'name_of_country':['India','India','US','US','UK'], 'nick_name_of_customer':['Krish','Ram','John','Joe','Chris'] } df = pd.DataFrame(data) df
The Resultant dataframe is
Drop or Delete the column when the column name ends with a name or string in pandas python – Case Sensitive
To delete the column when the column name ends with a specific string or character, we have used the endswith() function in pandas python which will take the string or character as the input and we have excluded the column that ends with the string or character, in the below example we have dropped the column with the column name ending with “name”
# Delete the column that Ends with a name or string : Case Sensitive df1 = df.loc[:,~df.columns.str.endswith('name')] df1
column name which ends with only small case “name” is dropped .i.e the “location_name” column is dropped , so the resultant dataframe will be.
Delete the column when the column name ends with a name or string in pandas – Case In Sensitive: All Case
We will be deleting the column when the column name ends with a specific string or character, using lower() function in pandas python which will filter based on the column name and have excluded the column that starts with the string or character, in the below example we have dropped the column with the column name ending with “name” or “Name” or “NAME”
# Delete the column that Ends with a name or string : Case In Sensitive: All Case cols = [d for d in df.columns if d.lower()[-4:] != 'name'] df1=df[cols] df1
column name which ends with all the case “name”, “Name” or “NAME” is dropped .i.e the “product_Name” and “location_name” column is dropped , so the resultant dataframe will be.