Class 12 IP - Class 3 - DataFrame One Shot.pdf

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1. Panda’s
By: Lovejeet Arora

2. https://www.youtube.com/@TECHQueenLovejeetArora

3. DataFrames
❑A data frame is a two-dimensional array, with
labeled axes (rows and columns having a
specific name or Label).
❑A data frame is a standard way to store data.
❑Size is Mutable.[Can Change]

4. 1.Homogeneous Data
2.Size Immutable
3.Values of data are Mutable
1.Heterogeneous data
2.Size Mutable
3.Data mutable
Series
Data Frames

6. Rows i.eaxis=0,
columns i.eaxis=1

7. Source :- https://www.geeksforgeeks.org

8. 1.Creationn of DataFrame
•Empty DataFrame
•Dictionary of List
•Dict of Dict
•List of Dict
•List of List
•Dict of Series

9. 1.Creationn of DataFrame
•Empty DataFrame

10. 1.Creationn of DataFrame
•Dictionary of List

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12. 1.Creationn of DataFrame
•Dict of Dict

13. 1.Creationn of DataFrame
•Dict of Dict
import pandas as pd
#Dictionary of Dictionary
Dict={"Name":{"R1":"Rose","R2":"Delina","R3":"Komal","R4":"Poonam","R5":"Komal"},
"Marks":{"R1":10,"R2":12,"R3":13,"R4":23,"R5":90},
"City":{"R1":"Kota","R2":"Delhi","R3":"Delhi","R4":"Goa","R5":"Delhi"}}
Df=pd.DataFrame(Dict)
print(Df)

14. 1.Creationn of DataFrame
•Empty DataFrame
•Dictionary of List
•Dict of Dict
•List of Dict
•List of List
•Dict of Series

15. 1.Creationn of DataFrame
•List of Dict

16. 1.Creationn of DataFrame
•List of List

17. 1.Creationn of DataFrame
•Dict of Series

18. 2. Data Frame Attributes
•index
•columns
•axes
•dtypes
•size
•shape
•values
•empty
•ndim
•t

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37. Len()
Selecting or Accessing Data
Single Value
Multiple Values
Count()
loc and iloc()
Boolean Indexing

38. Adding & Modify Column

39. Adding & Modifying a Row

40. Adding & Modify Column
Adding & Modifying a Row
Modifying a Single Cell Value
Delete a Column
Delete a Row
Rename a Column
Rename a Row

41. Adding & Modify Column
Adding & Modifying a Row
Modifying a Single Cell Value
Delete a Column
Delete a Row
Rename a Column
Rename a Row

42. Delete a Row

43. Delete a Column

44. Delete a Column

45. Rename a Column
Rename a Row

46. CBSE 5 Year PYQs on Pandas SUPER SUNDAY CLASS