Create a Function for a Dataframe with Pandas

In Python, we define a function with the def keyword and then write the function identifier(name) followed by parentheses and a colon to create a function. Then we have to identify a tab or four spaces and specify what the function will do for us. 

To create a dataframe, the DataFrame() function is used in Pandas. This function is applied to each element and returns the value used to create the result DataFrame object. To apply a function to a DataFrame in Pandas, we can use the applymap() function, which does not have an additional argument. To add a function to a DataFrame, the Pandas dataframe.append() function to append rows of other dataframe in pandas to the end of the given dataframe. It returns a new dataframe object. Then the columns not in the original data frames are added as new columns, and the new cells are populated with NaN values. The def keyword is used to declare the function, and it follows this up with the function name and then adds parameters to the function. At the end of our line with a colon, add statements that the functions should execute. They should be within the parentheses of the function. 

Here is an example of how to create a function for a DataFrame with Pandas: