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import numpy as np
# Create an array of rank 2
my_arr = np.array([[1,2,3,4], [5,6,7,8]])
print(my_arr)
print(my_arr[1, 2]) # a
-2 Votes
1 Answer
y_true = [int(x) for x in input().split()]
y_pred = [int(x) for x in input().split()]
import numpy as np
y_true=np.array(y_t
0 Votes
2 Answers
import matplotlib.pyplot as plt
import numpy as np
x=np.linspace(-5,5,100)
plt.plot(x,np.sin(x))
plt.xlabel("axe des absesse")
0 Votes
9 Answers
Does anybody know numpy?
1 Vote
1 Answer
Multidimentional knapsack
3 Votes
5 Answers
In import numpy as np why do we use only np? Can't we put anything else apart from np?
0 Votes
1 Answer
import numpy as np
arr1=np.array([[4,3,2],[1,7,8]])
arr2=np.array([5,6,7])
arr3=np.concatenate(arr1,arr2)
print(arr3)
0 Votes
3 Answers
P versus NP problem
0 Votes
4 Answers
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