Pandas Series Methods

• As we all know everythin in python is Object. Every Object has some Methods and Attributes.

       Methods - Functions (Ex:- add() )
       Attributes - Properties (Ex:- dtype )

• Assueme if we have created a Series s, then the Methods and Attributes will be used with s as follows.

       Methods - s.add()
       Attributes - s.dtype

• Methods used with small brackets [ () ], but the attributes will not be used with brackets.

• Following are the important methods of Series.

Click on them to find how to use them with example (After opening the link find the Series examples) :

1. abs( ) : Return a Series/DataFrame with absolute numeric value of each element.
2. add( ) : Return Addition of series and other, element-wise 
3. div( ) : Return Floating division of series and other, element-wise 
4. sub( ) : Return Subtraction of series and other, element-wise 
5. sum( ) : Return the sum of the values for the requested axis. 
6. floordiv( ) : Return Integer division of series and other, element-wise 
7. equals( ) : Test whether two objects contain the same elements. 
8. all( ) : Return whether all elements are True, potentially over an axis. 
9. append( ) : Concatenate two or more Series. 
10. astype( ) : Cast a pandas object to a specified dtype. 
11. copy( ) : Make a copy of this object’s indices and data. 
12. describe( ) : Generate descriptive statistics. 
13. drop( ) : Return Series with specified index labels removed. 
14. drop_duplicates( ) : Return Series with duplicate values removed. 
15. dropna( ) : Return a new Series with missing values removed. 
16. fillna( ) : Fill NA/NaN values using the specified method. 
17. replace( ) : Replace values given in to_replace with value. 
18. rename( ) : Alter Series index labels or name. 
19. reindex( ) : Conform Series to new index with optional filling logic. 
20. reindex_like( ) : Return an object with matching indices as other object. 
21. rename_axis( ) : Set the name of the axis for the index or columns. 
22. where( ) : Replace values where the condition is False. 
23. max( ) : Return the maximum of the values for the requested axis. 
24. min( ) : Return the minimum of the values for the requested axis. 
25. mean( ) : Return the mean of the values for the requested axis. 
26. median( ) : Return the median of the values for the requested axis. 
27. std( ) : Return sample standard deviation over requested axis. 
28. var( ) : Return unbiased variance over requested axis. 
29. count( ) : Return number of non-NA/null observations in the Series. 
30. agg( ) : Aggregate using one or more operations over the specified axis.