Convert heights and positions, which are regular lists, to numpy arrays. Call them np_heights and np_positions
Question
Convert heights and positions, which are regular lists, to numpy arrays. Call them np_heights and np_positions
Solution
Sure, here is how you can convert regular lists to numpy arrays in Python:
First, you need to import the numpy library. If you haven't installed it yet, you can do so using pip:
pip install numpy
Then, in your Python script, you can convert your lists to numpy arrays like this:
import numpy as np
# let's assume heights and positions are your lists
heights = [1.80, 1.85, 1.75, 1.90]
positions = ['GK', 'M', 'A', 'D']
# convert lists to numpy arrays
np_heights = np.array(heights)
np_positions = np.array(positions)
Now, np_heights and np_positions are numpy arrays.
Similar Questions
Create a numpy array from height_in. Name this new array np_height_in
Given a 2D list, create a numpy 2D array using it.Note: Given 2D list is [[1, 2, 3], [4, 5, 6], [7, 8, 9]]Print the Numpy array.
Use np.array() to create a 2D numpy array from baseball. Name it np_baseball.
Example Array:arr =np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]])Use the example array 'arr' to answer the following question:To select [4,5,6] from arr, we do _____.
X=np.array([[1,0],[0,1]])Y=np.array([[2,2],[2,2]])Z=np.dot(X,Y)
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.