Difference between series and dataframe

Differentiate between SERIES AND DATAFRAME:- Series-1.It is a 1 dimensional 2.It is homogeneous that is,all the elements of the sam type. 3. It is Value Mutable that is, Their elements value can change. 4.It is Size-Immutable that is,Size of a series object, once created,cannot change.If you want to add/drop an element,internally a new series object will be created. -------------------------------------------- Dataframe 1.It is 2-dimensional 2.It is hetrogeneous that is, a dataframe object can have elements of different types. 3.It is Value mutable that is, Their elements value can change. 4.It is size-mutable that is,size of a dataframe object,once created,can change in place.That is,you can add/drop elements in an existing dataframe object. ____________________________ NOTE:A Pandas Series is one dimensioned whereas a DataFrame is two dimensioned. Therefore, a single column DataFrame can have a name for its single column but a Series cannot have a column name. In fact, each column of a DataFrame can be converted to a series.