How do I find the shape of a NumPy array?
You can find the shape of a NumPy array using the .shape
attribute. For example, if you have an array arr
, you can use arr.shape
.
Can you show me an example?
Sure! Here's an example:
import numpy as np
arr = np.array([[1, 2, 3], [4, 5, 6]])
print(arr.shape) # Output: (2, 3)
What does the output (2, 3) mean?
The output (2, 3) means that the array has 2 rows and 3 columns.
Can I change the shape of the array?
Yes, you can change the shape of an array using the .reshape()
method. Just make sure the total number of elements remains the same.
Get this answer and more from ChatGPT in Telegram, try it for free!
Get Started For FreePowered by advanced language models trained on billions of online words and conversations, MagicBuddy delivers friendly and helpful chat on demand.
Ask questions and get answers. Crack jokes and get laughs. Or even get writing ideas and study help. MagicBuddy's conversational intelligence allows for a truly unique and useful chat experience.
Curious? Try these prompts:
MagicBuddy is incredibly easy to use and the responses are lightning fast! 🥇
Impressive! MagicBuddy is my go-to AI assistant. It’s quick, accurate, and user-friendly.
Sending voice messages makes it easier to use in the middle of the day and the answers are super fast.
Love it! A friend of mine told me about it and it has made my life so much easier. It’s like having a helpful friend in my pocket!
I use 2 months already, simply amazing! MagicBuddy delivers answers in a snap. It’s a must-have tool for staying informed!
Game-changer! MagicBuddy’s speed and accuracy are unmatched. It’s my secret weapon for productivity
Say Hello to Your New Telegram BFF - Try MagicBuddy Free!
Get Started For Free