Golgappa.net | Golgappa.org | BagIndia.net | BodyIndia.Com | CabIndia.net | CarsBikes.net | CarsBikes.org | CashIndia.net | ConsumerIndia.net | CookingIndia.net | DataIndia.net | DealIndia.net | EmailIndia.net | FirstTablet.com | FirstTourist.com | ForsaleIndia.net | IndiaBody.Com | IndiaCab.net | IndiaCash.net | IndiaModel.net | KidForum.net | OfficeIndia.net | PaysIndia.com | RestaurantIndia.net | RestaurantsIndia.net | SaleForum.net | SellForum.net | SoldIndia.com | StarIndia.net | TomatoCab.com | TomatoCabs.com | TownIndia.com
Interested to Buy Any Domain ? << Click Here >> for more details...


In NumPy, how will you read CSV data into an array?

Answers were Sorted based on User's Feedback



In NumPy, how will you read CSV data into an array?..

Answer / nashiinformaticssolutions

You can use `numpy.genfromtxt()` or `numpy.loadtxt()` to read CSV files into a NumPy array.
```python
import numpy as np
data = np.genfromtxt('file.csv', delimiter=',')
```

Is This Answer Correct ?    0 Yes 0 No

In NumPy, how will you read CSV data into an array?..

Answer / glibwaresoftsolutions

You can use `numpy.genfromtxt()` or `numpy.loadtxt()` to read CSV files into a NumPy array.
```python
import numpy as np
data = np.genfromtxt('file.csv', delimiter=',')
```

Is This Answer Correct ?    0 Yes 0 No

Post New Answer

More Python Interview Questions

What are static methods for?

0 Answers  


What is the syntax for dictionary comprehension in python?

0 Answers  


Mention what is flask-wtf and what are their features?

0 Answers  


How to write a functioning volume for python?

0 Answers  


What is the difference between old style and new style classes in python?

0 Answers  


What are the applications of python?

0 Answers  


What is pandas?

0 Answers  


What good is recursion?

0 Answers  


Is there any way to kill a thread in python?

0 Answers  


What is the best flask or Django

0 Answers  


Can you hack with python?

0 Answers  


What is the difference between `list` and `tuple` in Python?

2 Answers  


Categories