Python Dataframe Map Column Values

We sometimes need to map values in python i.e values of a feature with values of another feature. The dataset is deliberately small so that you can better visualize what’s going on. X*100) pandas replace from dictionary values we will now see how we can replace the value of a column with the dictionary values create a.

The pandas.map() method is very helpful when you're applying labels to another column. Basically use a function what takes a column as. Given a dataframe containing data about an event, remap the values of a specific column to a new value.

This can be very useful in many situations, suppose we have to get marks of all the students in a particular subject, get phone numbers of all employees, etc.

X*100) pandas replace from dictionary values we will now see how we can replace the value of a column with the dictionary values create a. The code above loads a dataframe, df, with five columns: There are five columns with names: Hi, i have two dataframes, df1: