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This is the 24th lecture in the new series for covering IP CBSE new pattern with python. This video will walk you through the data visualization concepts including the rules for reading and creating a graph or chart.
This will also tell you the basic definition of data visualization, matplotlib , numpy etc. Here we will discuss how to create a line chart along with multiple views and also will discuss the functions like show(),title(),xlabel(),ylabel(),legend(),plot(),subplot(),multiple subplots,grid() etc required for creating a line chart in python and in matplotlib. Also it will tell you how to change the color in line plot for visualization
Please watch the older videos in order to understand this better.
Playlist for the whole python series for CBSE IP
• CBSE Information Practices Video Lect...
1.Introduction to data analytics and pandas | Data Cycle | Feature of Pandas | Class XI/XII CBSE IP
• 1.Introduction to data analytics and ...
2.Installing and Introduction to Pandas And Data Structures in Python | Class XI/XII CBSE IP 2021
• 2.Installing and Introduction to Pand...
3.Creating Series() using Pandas , Range(), Indexes, Lists in Python | Class XI/XII CBSE IP
• 3.Creating Series() using Pandas , Ra...
4.Creating Series() using Pandas , Range(), Looping indexes, Strings, iloc , loc, Numpy in Python
• 4.Creating Series() using Pandas , Ra...
6. Performing Mathematical and Vector operations on series in Pandas Python | Multiple series Python
• 6. Performing Mathematical and Vector...
7. Introduction to DataFrames in Pandas Python | Dataframe using List in Python |
• 7. Introduction to DataFrames in Pand...
8. Introduction to DataFrame using Multiple Series() | Sorting Values in Python
• 8. Introduction to DataFrame using Mu...
10. Indexing , Renaming , Adding , Manipulating , Deleting columns in Python
• 10. Indexing , Renaming , Adding , Ma...
11. add(), radd(), sub(), rsub(), mul(), div() Binary Operations in Python
• 11. add(), radd(), sub(), rsub(), mul...
12. Match Operation,fillna(),NaN ,ffill(),Adding NaN Values in column in python
• 12. Match Operation,fillna(),NaN ,ffi...
13. Merging,Boolean Reduction, concat(),axis, any(),empty(),all() in Dataframe
• 13. Merging,Boolean Reduction, concat...
14. Reading/Writing in CSV File using Pandas nrows,names,usecol,skiprows,headers
• 14. Reading/Writing in CSV File using...
15. Data Aggregation in Python using sum(),count(),min(),max(),axis Concepts in depth | XI/XII CBSE
• 15. Data Aggregation in Python using ...
16. Statistical methods of Data Aggregation in Python using Mean(),Mode(),Median(),Var(),Quantile()
• 16. Statistical methods of Data Aggre...
17. Pivoting Theory in Dataframes using pandas in Python | Pivot_table | fillna() | Data sorting
• 17. Pivoting Theory in Dataframes usi...
18. Pivoting Practical in Dataframes using pandas & Python | fillna() | Data sorting for XI/XII CBSE
• 18. Pivoting Practical in Dataframes ...
19.Sorting Data in python based on column & index values using sort_values(),reindex() in Pandas
• 19. Sorting Data in python based on c...
20.Using Groupby(),transform(),reindex(),rename() for sorting in Python Pandas
• 20. Using Groupby(),transform(),reind...
21.Introduction to Data Visualization, matplotlib in python , Rules for sample chart
• 21.Introduction to Data Visualization...
22.Creating line chart matplotlib |Multiple views| show(),legend(),title(),labels etc
• 22. Creating line chart matplotlib |M...
23.Multiple subplot line chart matplotlib |grid() | show(),legend(),title(),labels| Python Pandas
• 23.Multiple subplot line chart matplo...
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On this page of the site you can watch the video online 24. Line plot using function | Plot algebric expression | Changing colors |Python Plot Visualization with a duration of hours minute second in good quality, which was uploaded by the user Tech Shubham Bharadwaj 06 February 2021, share the link with friends and acquaintances, this video has already been watched 162 times on youtube and it was liked by 9 viewers. Enjoy your viewing!