Drop columns in pandas or drop rows in pandas (using drop function in python) | Neeraj Sharma

Using the drop() function of python pandas you can drop or remove :

- Specific row or column
- multiple rows or columns
from the dataframe
Syntax:

drop()
drop(labels=[1,5])
drop([1,5])

how to drop column

you can do the same work with parmeter index and columns

remember : you Cannot specify both 'labels' and 'index'/'columns'

you can remove rows and collumns together
using

if you want to ignore error and want to drop or delete only existing labels are dropped.
level
df

[asifnaive]

❤ wow great explanation for the starter like me. God bless you

[BlissOn]

Very understandable and informative! Thank you very much.

[rashmiguduru]

Very good explanation and presentation, better than any ivy league lectures

[mohiuddinshojib]

Thanks Mr. Sharma. I had doubt "inplace = True". I google it but as usual there were too much long text. And my reliable hope in explanation from an Indian guy. As always they are good at easy explanation and talk at exact point.

[EDXELJOGUESMATOSFERNANDEZ]

Good explication my friend, thanks you

[ashwinjaipurkar]

Fantastic and in detail explanation of drop function

[Islamic_videos]

Thank you so much .
Very helpful.
This video is very helpful for me to solve keyerror.

[kushagra]

awesome explanation! thank you so much

[subhrajitroychowdhury]

how to drop a range of columns along with a single column together using drop function, example [ col_1 : col_5, col_9 ] from a dataframe ?

[kushagra]

how to drop rows that satisfies some condition?

[shubhamvijayvargiya]

all the details is covered for drop function