Numpy
baseball = [180, 215, 210, 210, 188, 176, 209, 200]
import numpy as np
np_baseball = np.array(baseball)
print(np_baseball)
[180 215 210 210 188 176 209 200]
print(type(np_baseball))
<class 'numpy.ndarray'>
x = [4 , 9 , 6, 3, 1]
y = np.array(x)
high = y > 5
print(high)
[False True True False False]
print(y[high])
[9,6]
Addition of NumPy arrays
A=np.array([1,2,3])
B=np.array([2,3,4])
A+B=np.array([3,5,7])
Mean
A=np.array([1,2,3])
print(np.mean(A))
2
Median
A=np.array([1,2,3])
print(np.mean(A))
2
Standard Deviation
np.std(A)
Correlation
np.corrcoef(A[:,0],B[:,1])