CBSE Class 11 & 12 Computer Science and Informatics Practices Python Materials, Video Lecture

• 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.
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.
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.