#1 - Data Cleaning in Pandas Python(Advanced)
It covers the advanced feature of the data cleaning process in Pandas Python.
Github:-
https://github.com/akchaudhary57/Data...
Enlarge Jupyter Notebook screen: 0:42
Data type and Conversions:- 1:40
.astype() function:- 4:05
Check columns of specific datatype:- 8:27
to_numeric() function:- 10:30
Difference between .astype(int) and to_numeric() function:- 11:40
Check data if string and int:- 13:02
Handle string in the numeric field:- 17:20
fillna(): 18:20
to_datetime(): 20:03
Handle string in date field:- 21:45
Convert to different date format:- 22:40
start with, end with contains:- 27:12
swap and repeat:- 27:55
Concat , merge data frame:- 29:20
Lookup data frame:- 40:02
Transpose:- 42:40
Melt:- 42:50
Pivort:- 51: 05
Unstack:- 54:50
Stack:- 57:00