Pandas vs NumPy

0 votes
I have a dataset that requires some modifications. Which is a better option - Pandas or NumPy?
Nov 18, 2019 in Python by Hannah
• 17,380 points
64 views

1 answer to this question.

0 votes
Pandas should be used when you are dealing with 500k rows and columns.

Whereas NumPy should be used when you are dealing with 50k or lesser number rows and columns.

So basically, if you are dealing with large data, it's better to go for pandas.
answered Nov 18, 2019 by Aman

Related Questions In Python

0 votes
1 answer

df.mul vs df.rmul in Pandas

The documentation is not identical. As stated ...READ MORE

answered Jan 18, 2019 in Python by SDeb
• 13,230 points
235 views
0 votes
1 answer
+2 votes
2 answers

How can I replace values with 'none' in a dataframe using pandas

Actually in later versions of pandas this ...READ MORE

answered Aug 13, 2018 in Python by bug_seeker
• 15,390 points
10,005 views
+1 vote
2 answers

View onto a numpy array?

 just index it as you normally would. ...READ MORE

answered Oct 18, 2018 in Python by roberto
63 views
0 votes
1 answer
0 votes
1 answer

How to create Pandas series from dictionary?

Here's a sample script: import pandas as pd import ...READ MORE

answered Apr 1, 2019 in Python by Prateek
61 views
0 votes
1 answer

How to convert pandas dataframe to numpy array?

Irrespective of whether the dataframe has similar ...READ MORE

answered May 12, 2019 in Python by Rishi
3,166 views
0 votes
1 answer
0 votes
1 answer

How to create Pandas series from numpy array?

Hi. Refer to the below command: import pandas ...READ MORE

answered Apr 1, 2019 in Python by Pavan
329 views
0 votes
1 answer

Python - abs vs fabs

math.fabs() converts its argument to float if it ...READ MORE

answered Sep 19, 2018 in Python by Priyaj
• 57,490 points
85 views