How do I create a new column based on multiple conditions in pandas?

How do I create a new column based on multiple conditions in pandas?

Here, we will provide some examples of how we can create a new column based on multiple conditions of existing columns….Define the Task

1. If the Age is NaN and Pclass =1 then the Age=40.
2. If the Age is NaN and Pclass =2 then the Age=30.
3. If the Age is NaN and Pclass =3 then the Age=25.
4. Else the Age will remain as is.

How do I slice columns in pandas?

To slice a Pandas dataframe by position use the iloc attribute. Remember index starts from 0 to (number of rows/columns – 1)….Slicing Rows and Columns by position

1. To slice rows by index position. df.iloc[0:2,:]
2. To slice columns by index position. df.iloc[:,1:3]
3. To slice row and columns by index position.

How to rename column in pandas?

How to rename columns in pandas? Use the pandas dataframe rename () function to modify specific column names. Use the pandas dataframe set_axis () method to change all your column names. Set the dataframe’s columns attribute to your new list of column names.

How to add column to pandas Dataframe?

Pandas – Add New Columns to DataFrames Simple Method. The simple method involves us declaring the new column name and the value or calculation to use. Pandas Apply Function. For more complex column creation such as creating columns using functions, we can use the apply operation. Pandas Apply with Lambda. Adding Columns in Practice.

How to delete column in pandas?

To delete or remove only one column from Pandas DataFrame, you can use either del keyword, pop () function or drop () function on the dataframe. To delete multiple columns from Pandas Dataframe, use drop () function on the dataframe. In this example, we will create a DataFrame and then delete a specified column using del keyword.

How do I rename columns in pandas Dataframe?

One way of renaming the columns in a Pandas dataframe is by using the rename() function. This method is quite useful when we need to rename some selected columns because we need to specify information only for the columns which are to be renamed. Rename a single column.