19. Sorting Data in python based on column & index values using sort_values(),reindex() in Pandas

#ipwithtechshubham #cbsetutorials #pythontutorials
This is the 19th lecture in the new series for covering IP CBSE new pattern with python. This video will walk you through the sorting of data using the multiple functions available such as sort_values,sort_index etc. This will basically deal with the sorting of the data based on index and column values
Please watch the older videos in order to understand this better.

Playlist for the whole python series for CBSE IP
   • CBSE Information Practices Video Lecture S...  

1.Introduction to data analytics and pandas | Data Cycle | Feature of Pandas | Class XI/XII CBSE IP
   • 1.Introduction to data analytics and panda...  

2.Installing and Introduction to Pandas And Data Structures in Python | Class XI/XII CBSE IP 2021
   • 2.Installing and Introduction to Pandas An...  

3.Creating Series() using Pandas , Range(), Indexes, Lists in Python | Class XI/XII CBSE IP
   • 3.Creating Series() using Pandas , Range()...  

4.Creating Series() using Pandas , Range(), Looping indexes, Strings, iloc , loc, Numpy in Python
   • 4.Creating Series() using Pandas , Range()...  

6. Performing Mathematical and Vector operations on series in Pandas Python | Multiple series Python
   • 6. Performing Mathematical and Vector oper...  

7. Introduction to DataFrames in Pandas Python | Dataframe using List in Python |
   • 7. Introduction to DataFrames in Pandas Py...  

8. Introduction to DataFrame using Multiple Series() | Sorting Values in Python
   • 8. Introduction to DataFrame using Multipl...  

10. Indexing , Renaming , Adding , Manipulating , Deleting columns in Python
   • 10. Indexing , Renaming , Adding , Manipul...  

11. add(), radd(), sub(), rsub(), mul(), div() Binary Operations in Python
   • 11. add(), radd(), sub(), rsub(), mul(), d...  

12. Match Operation,fillna(),NaN ,ffill(),Adding NaN Values in column in python
   • 12. Match Operation,fillna(),NaN ,ffill(),...  

13. Merging,Boolean Reduction, concat(),axis, any(),empty(),all() in Dataframe
   • 13. Merging,Boolean Reduction, concat(),ax...  

14. Reading/Writing in CSV File using Pandas nrows,names,usecol,skiprows,headers
   • 14. Reading/Writing in CSV File using Pand...  

15. Data Aggregation in Python using sum(),count(),min(),max(),axis Concepts in depth | XI/XII CBSE
   • 15. Data Aggregation in Python using sum()...  

16. Statistical methods of Data Aggregation in Python using Mean(),Mode(),Median(),Var(),Quantile()
   • 16. Statistical methods of Data Aggregatio...  

17. Pivoting Theory in Dataframes using pandas in Python | Pivot_table | fillna() | Data sorting
   • 17. Pivoting Theory in Dataframes using pa...  

18. Pivoting Practical in Dataframes using pandas & Python | fillna() | Data sorting for XI/XII CBSE
   • 18. Pivoting Practical in Dataframes using...  

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